kubeadm - CLI tool to easily provision a secure Kubernetes cluster.
Components
kubelet - The
primary agent that runs on each node. The kubelet takes a set of PodSpecs
and ensures that the described containers are running and healthy.
kube-apiserver -
REST API that validates and configures data for API objects such as pods,
services, replication controllers.
kube-controller-manager - Daemon that embeds the core control loops shipped with Kubernetes.
kube-proxy - Can
do simple TCP/UDP stream forwarding or round-robin TCP/UDP forwarding across
a set of back-ends.
kube-scheduler - Scheduler that manages availability, performance, and capacity.
This section hosts the documentation for "unpublished" APIs which are used to
configure kubernetes components or tools. Most of these APIs are not exposed
by the API server in a RESTful way though they are essential for a user or an
operator to use or manage a cluster.
This section provides reference information for the Kubernetes API.
The REST API is the fundamental fabric of Kubernetes. All operations and
communications between components, and external user commands are REST API
calls that the API Server handles. Consequently, everything in the Kubernetes
platform is treated as an API object and has a corresponding entry in the
API.
The JSON and Protobuf serialization schemas follow the same guidelines for
schema changes. The following descriptions cover both formats.
The API versioning and software versioning are indirectly related.
The API and release versioning proposal
describes the relationship between API versioning and software versioning.
Different API versions indicate different levels of stability and support. You
can find more information about the criteria for each level in the
API Changes documentation.
Here's a summary of each level:
Alpha:
The version names contain alpha (for example, v1alpha1).
The software may contain bugs. Enabling a feature may expose bugs. A
feature may be disabled by default.
The support for a feature may be dropped at any time without notice.
The API may change in incompatible ways in a later software release without notice.
The software is recommended for use only in short-lived testing clusters,
due to increased risk of bugs and lack of long-term support.
Beta:
The version names contain beta (for example, v2beta3).
The software is well tested. Enabling a feature is considered safe.
Features are enabled by default.
The support for a feature will not be dropped, though the details may change.
The schema and/or semantics of objects may change in incompatible ways in
a subsequent beta or stable release. When this happens, migration
instructions are provided. Schema changes may require deleting, editing, and
re-creating API objects. The editing process may not be straightforward.
The migration may require downtime for applications that rely on the feature.
The software is not recommended for production uses. Subsequent releases
may introduce incompatible changes. If you have multiple clusters which
can be upgraded independently, you may be able to relax this restriction.
Note: Please try beta features and provide feedback. After the features exit beta, it
may not be practical to make more changes.
Stable:
The version name is vX where X is an integer.
The stable versions of features appear in released software for many subsequent versions.
API groups
API groups
make it easier to extend the Kubernetes API.
The API group is specified in a REST path and in the apiVersion field of a
serialized object.
There are several API groups in Kubernetes:
The core (also called legacy) group is found at REST path /api/v1.
The core group is not specified as part of the apiVersion field, for
example, apiVersion: v1.
The named groups are at REST path /apis/$GROUP_NAME/$VERSION and use
apiVersion: $GROUP_NAME/$VERSION (for example, apiVersion: batch/v1).
You can find the full list of supported API groups in
Kubernetes API reference.
Enabling or disabling API groups
Certain resources and API groups are enabled by default. You can enable or
disable them by setting --runtime-config on the API server. The
--runtime-config flag accepts comma separated <key>[=<value>] pairs
describing the runtime configuration of the API server. If the =<value>
part is omitted, it is treated as if =true is specified. For example:
to disable batch/v1, set --runtime-config=batch/v1=false
to enable batch/v2alpha1, set --runtime-config=batch/v2alpha1
Note: When you enable or disable groups or resources, you need to restart the API
server and controller manager to pick up the --runtime-config changes.
Persistence
Kubernetes stores its serialized state in terms of the API resources by writing them into
etcd.
This page describes common concepts in the Kubernetes API.
The Kubernetes API is a resource-based (RESTful) programmatic interface provided via HTTP. It supports retrieving, creating,
updating, and deleting primary resources via the standard HTTP verbs (POST, PUT, PATCH, DELETE, GET), includes additional subresources for many objects that allow fine grained authorization (such as binding a pod to a node), and can accept and serve those resources in different representations for convenience or efficiency. It also supports efficient change notifications on resources via "watches" and consistent lists to allow other components to effectively cache and synchronize the state of resources.
Standard API terminology
Most Kubernetes API resource types are objects: they represent a concrete instance of a concept on the cluster, like a pod or namespace. A smaller number of API resource types are "virtual" - they often represent operations rather than objects, such as a permission check (use a POST with a JSON-encoded body of SubjectAccessReview to the subjectaccessreviews resource). All objects will have a unique name to allow idempotent creation and retrieval, but virtual resource types may not have unique names if they are not retrievable or do not rely on idempotency.
Kubernetes generally leverages standard RESTful terminology to describe the API concepts:
A resource type is the name used in the URL (pods, namespaces, services)
All resource types have a concrete representation in JSON (their object schema) which is called a kind
A list of instances of a resource type is known as a collection
A single instance of the resource type is called a resource
All resource types are either scoped by the cluster (/apis/GROUP/VERSION/*) or to a namespace (/apis/GROUP/VERSION/namespaces/NAMESPACE/*). A namespace-scoped resource type will be deleted when its namespace is deleted and access to that resource type is controlled by authorization checks on the namespace scope. The following paths are used to retrieve collections and resources:
Cluster-scoped resources:
GET /apis/GROUP/VERSION/RESOURCETYPE - return the collection of resources of the resource type
GET /apis/GROUP/VERSION/RESOURCETYPE/NAME - return the resource with NAME under the resource type
Namespace-scoped resources:
GET /apis/GROUP/VERSION/RESOURCETYPE - return the collection of all instances of the resource type across all namespaces
GET /apis/GROUP/VERSION/namespaces/NAMESPACE/RESOURCETYPE - return collection of all instances of the resource type in NAMESPACE
GET /apis/GROUP/VERSION/namespaces/NAMESPACE/RESOURCETYPE/NAME - return the instance of the resource type with NAME in NAMESPACE
Since a namespace is a cluster-scoped resource type, you can retrieve the list of all namespaces with GET /api/v1/namespaces and details about a particular namespace with GET /api/v1/namespaces/NAME.
Almost all object resource types support the standard HTTP verbs - GET, POST, PUT, PATCH, and DELETE. Kubernetes uses the term list to describe returning a collection of resources to distinguish from retrieving a single resource which is usually called a get.
Some resource types will have one or more sub-resources, represented as sub paths below the resource:
Cluster-scoped subresource: GET /apis/GROUP/VERSION/RESOURCETYPE/NAME/SUBRESOURCE
Namespace-scoped subresource: GET /apis/GROUP/VERSION/namespaces/NAMESPACE/RESOURCETYPE/NAME/SUBRESOURCE
The verbs supported for each subresource will differ depending on the object - see the API documentation more information. It is not possible to access sub-resources across multiple resources - generally a new virtual resource type would be used if that becomes necessary.
Efficient detection of changes
To enable clients to build a model of the current state of a cluster, all Kubernetes object resource types are required to support consistent lists and an incremental change notification feed called a watch. Every Kubernetes object has a resourceVersion field representing the version of that resource as stored in the underlying database. When retrieving a collection of resources (either namespace or cluster scoped), the response from the server will contain a resourceVersion value that can be used to initiate a watch against the server. The server will return all changes (creates, deletes, and updates) that occur after the supplied resourceVersion. This allows a client to fetch the current state and then watch for changes without missing any updates. If the client watch is disconnected they can restart a new watch from the last returned resourceVersion, or perform a new collection request and begin again. See Resource Version Semantics for more detail.
For example:
List all of the pods in a given namespace.
GET /api/v1/namespaces/test/pods
---
200 OK
Content-Type: application/json
{
"kind": "PodList",
"apiVersion": "v1",
"metadata": {"resourceVersion":"10245"},
"items": [...]
}
Starting from resource version 10245, receive notifications of any creates, deletes, or updates as individual JSON objects.
A given Kubernetes server will only preserve a historical list of changes for a limited time. Clusters using etcd3 preserve changes in the last 5 minutes by default. When the requested watch operations fail because the historical version of that resource is not available, clients must handle the case by recognizing the status code 410 Gone, clearing their local cache, performing a list operation, and starting the watch from the resourceVersion returned by that new list operation. Most client libraries offer some form of standard tool for this logic. (In Go this is called a Reflector and is located in the k8s.io/client-go/cache package.)
Watch bookmarks
To mitigate the impact of short history window, we introduced a concept of bookmark watch event. It is a special kind of event to mark that all changes up to a given resourceVersion the client is requesting have already been sent. Object returned in that event is of the type requested by the request, but only resourceVersion field is set, e.g.:
Bookmark events can be requested by allowWatchBookmarks=true option in watch requests, but clients shouldn't assume bookmarks are returned at any specific interval, nor may they assume the server will send any bookmark event.
Retrieving large results sets in chunks
FEATURE STATE:Kubernetes v1.9 [beta]
On large clusters, retrieving the collection of some resource types may result in very large responses that can impact the server and client. For instance, a cluster may have tens of thousands of pods, each of which is 1-2kb of encoded JSON. Retrieving all pods across all namespaces may result in a very large response (10-20MB) and consume a large amount of server resources. Starting in Kubernetes 1.9 the server supports the ability to break a single large collection request into many smaller chunks while preserving the consistency of the total request. Each chunk can be returned sequentially which reduces both the total size of the request and allows user-oriented clients to display results incrementally to improve responsiveness.
To retrieve a single list in chunks, two new parameters limit and continue are supported on collection requests and a new field continue is returned from all list operations in the list metadata field. A client should specify the maximum results they wish to receive in each chunk with limit and the server will return up to limit resources in the result and include a continue value if there are more resources in the collection. The client can then pass this continue value to the server on the next request to instruct the server to return the next chunk of results. By continuing until the server returns an empty continue value the client can consume the full set of results.
Like a watch operation, a continue token will expire after a short amount of time (by default 5 minutes) and return a 410 Gone if more results cannot be returned. In this case, the client will need to start from the beginning or omit the limit parameter.
For example, if there are 1,253 pods on the cluster and the client wants to receive chunks of 500 pods at a time, they would request those chunks as follows:
List all of the pods on a cluster, retrieving up to 500 pods each time.
Continue the previous call, retrieving the last 253 pods.
GET /api/v1/pods?limit=500&continue=ENCODED_CONTINUE_TOKEN_2
---
200 OK
Content-Type: application/json
{
"kind": "PodList",
"apiVersion": "v1",
"metadata": {
"resourceVersion":"10245",
"continue": "", // continue token is empty because we have reached the end of the list
...
},
"items": [...] // returns pods 1001-1253
}
Note that the resourceVersion of the list remains constant across each request, indicating the server is showing us a consistent snapshot of the pods. Pods that are created, updated, or deleted after version 10245 would not be shown unless the user makes a list request without the continue token. This allows clients to break large requests into smaller chunks and then perform a watch operation on the full set without missing any updates.
Receiving resources as Tables
kubectl get is a simple tabular representation of one or more instances of a particular resource type. In the past, clients were required to reproduce the tabular and describe output implemented in kubectl to perform simple lists of objects.
A few limitations of that approach include non-trivial logic when dealing with certain objects. Additionally, types provided by API aggregation or third party resources are not known at compile time. This means that generic implementations had to be in place for types unrecognized by a client.
In order to avoid potential limitations as described above, clients may request the Table representation of objects, delegating specific details of printing to the server. The Kubernetes API implements standard HTTP content type negotiation: passing an Accept header containing a value of application/json;as=Table;g=meta.k8s.io;v=v1beta1 with a GET call will request that the server return objects in the Table content type.
For example, list all of the pods on a cluster in the Table format.
GET /api/v1/pods
Accept: application/json;as=Table;g=meta.k8s.io;v=v1beta1
---
200 OK
Content-Type: application/json
{
"kind": "Table",
"apiVersion": "meta.k8s.io/v1beta1",
...
"columnDefinitions": [
...
]
}
For API resource types that do not have a custom Table definition on the server, a default Table response is returned by the server, consisting of the resource's name and creationTimestamp fields.
Table responses are available beginning in version 1.10 of the kube-apiserver. As such, not all API resource types will support a Table response, specifically when using a client against older clusters. Clients that must work against all resource types, or can potentially deal with older clusters, should specify multiple content types in their Accept header to support fallback to non-Tabular JSON:
By default, Kubernetes returns objects serialized to JSON with content type application/json. This is the default serialization format for the API. However, clients may request the more efficient Protobuf representation of these objects for better performance at scale. The Kubernetes API implements standard HTTP content type negotiation: passing an Accept header with a GET call will request that the server return objects in the provided content type, while sending an object in Protobuf to the server for a PUT or POST call takes the Content-Type header. The server will return a Content-Type header if the requested format is supported, or the 406 Not acceptable error if an invalid content type is provided.
See the API documentation for a list of supported content types for each API.
For example:
List all of the pods on a cluster in Protobuf format.
GET /api/v1/pods
Accept: application/vnd.kubernetes.protobuf
---
200 OK
Content-Type: application/vnd.kubernetes.protobuf
... binary encoded PodList object
Create a pod by sending Protobuf encoded data to the server, but request a response in JSON.
POST /api/v1/namespaces/test/pods
Content-Type: application/vnd.kubernetes.protobuf
Accept: application/json
... binary encoded Pod object
---
200 OK
Content-Type: application/json
{
"kind": "Pod",
"apiVersion": "v1",
...
}
Not all API resource types will support Protobuf, specifically those defined via Custom Resource Definitions or those that are API extensions. Clients that must work against all resource types should specify multiple content types in their Accept header to support fallback to JSON:
Kubernetes uses an envelope wrapper to encode Protobuf responses. That wrapper starts with a 4 byte magic number to help identify content in disk or in etcd as Protobuf (as opposed to JSON), and then is followed by a Protobuf encoded wrapper message, which describes the encoding and type of the underlying object and then contains the object.
The wrapper format is:
A four byte magic number prefix:
Bytes 0-3: "k8s\x00" [0x6b, 0x38, 0x73, 0x00]
An encoded Protobuf message with the following IDL:
message Unknown {
// typeMeta should have the string values for "kind" and "apiVersion" as set on the JSON object
optional TypeMeta typeMeta = 1;
// raw will hold the complete serialized object in protobuf. See the protobuf definitions in the client libraries for a given kind.
optional bytes raw = 2;
// contentEncoding is encoding used for the raw data. Unspecified means no encoding.
optional string contentEncoding = 3;
// contentType is the serialization method used to serialize 'raw'. Unspecified means application/vnd.kubernetes.protobuf and is usually
// omitted.
optional string contentType = 4;
}
message TypeMeta {
// apiVersion is the group/version for this type
optional string apiVersion = 1;
// kind is the name of the object schema. A protobuf definition should exist for this object.
optional string kind = 2;
}
Clients that receive a response in application/vnd.kubernetes.protobuf that does not match the expected prefix should reject the response, as future versions may need to alter the serialization format in an incompatible way and will do so by changing the prefix.
Resource deletion
Resources are deleted in two phases: 1) finalization, and 2) removal.
When a client first deletes a resource, the .metadata.deletionTimestamp is set to the current time.
Once the .metadata.deletionTimestamp is set, external controllers that act on finalizers
may start performing their cleanup work at any time, in any order.
Order is NOT enforced because it introduces significant risk of stuck .metadata.finalizers.
.metadata.finalizers is a shared field, any actor with permission can reorder it.
If the finalizer list is processed in order, then this can lead to a situation
in which the component responsible for the first finalizer in the list is
waiting for a signal (field value, external system, or other) produced by a
component responsible for a finalizer later in the list, resulting in a deadlock.
Without enforced ordering finalizers are free to order amongst themselves and
are not vulnerable to ordering changes in the list.
Once the last finalizer is removed, the resource is actually removed from etcd.
Single resource API
API verbs GET, CREATE, UPDATE, PATCH, DELETE and PROXY support single resources only.
These verbs with single resource support have no support for submitting
multiple resources together in an ordered or unordered list or transaction.
Clients including kubectl will parse a list of resources and make
single-resource API requests.
API verbs LIST and WATCH support getting multiple resources, and
DELETECOLLECTION supports deleting multiple resources.
Dry-run
FEATURE STATE:Kubernetes v1.18 [stable]
The modifying verbs (POST, PUT, PATCH, and DELETE) can accept requests in a dry run mode. Dry run mode helps to evaluate a request through the typical request stages (admission chain, validation, merge conflicts) up until persisting objects to storage. The response body for the request is as close as possible to a non-dry-run response. The system guarantees that dry-run requests will not be persisted in storage or have any other side effects.
Make a dry-run request
Dry-run is triggered by setting the dryRun query parameter. This parameter is a string, working as an enum, and the only accepted values are:
All: Every stage runs as normal, except for the final storage stage. Admission controllers are run to check that the request is valid, mutating controllers mutate the request, merge is performed on PATCH, fields are defaulted, and schema validation occurs. The changes are not persisted to the underlying storage, but the final object which would have been persisted is still returned to the user, along with the normal status code. If the request would trigger an admission controller which would have side effects, the request will be failed rather than risk an unwanted side effect. All built in admission control plugins support dry-run. Additionally, admission webhooks can declare in their configuration object that they do not have side effects by setting the sideEffects field to "None". If a webhook actually does have side effects, then the sideEffects field should be set to "NoneOnDryRun", and the webhook should also be modified to understand the DryRun field in AdmissionReview, and prevent side effects on dry-run requests.
Leave the value empty, which is also the default: Keep the default modifying behavior.
For example:
POST /api/v1/namespaces/test/pods?dryRun=All
Content-Type: application/json
Accept: application/json
The response would look the same as for non-dry-run request, but the values of some generated fields may differ.
Dry-run authorization
Authorization for dry-run and non-dry-run requests is identical. Thus, to make
a dry-run request, the user must be authorized to make the non-dry-run request.
For example, to run a dry-run PATCH for Deployments, you must have the
PATCH permission for Deployments, as in the example of the RBAC rule below.
Some values of an object are typically generated before the object is persisted. It is important not to rely upon the values of these fields set by a dry-run request, since these values will likely be different in dry-run mode from when the real request is made. Some of these fields are:
name: if generateName is set, name will have a unique random name
creationTimestamp/deletionTimestamp: records the time of creation/deletion
UID: uniquely identifies the object and is randomly generated (non-deterministic)
resourceVersion: tracks the persisted version of the object
Any field set by a mutating admission controller
For the Service resource: Ports or IPs that kube-apiserver assigns to v1.Service objects
Server Side Apply
Starting from Kubernetes v1.18, you can enable the
Server Side Apply
feature so that the control plane tracks managed fields for all newly created objects.
Server Side Apply provides a clear pattern for managing field conflicts,
offers server-side Apply and Update operations, and replaces the
client-side functionality of kubectl apply. For more details about this
feature, see the section on
Server Side Apply.
Resource Versions
Resource versions are strings that identify the server's internal version of an object. Resource versions can be used by clients to determine when objects have changed, or to express data consistency requirements when getting, listing and watching resources. Resource versions must be treated as opaque by clients and passed unmodified back to the server. For example, clients must not assume resource versions are numeric, and may only compare two resource version for equality (i.e. must not compare resource versions for greater-than or less-than relationships).
ResourceVersion in metadata
Clients find resource versions in resources, including the resources in watch events, and list responses returned from the server:
v1.meta/ObjectMeta - The metadata.resourceVersion of a resource instance identifies the resource version the instance was last modified at.
v1.meta/ListMeta - The metadata.resourceVersion of a resource collection (i.e. a list response) identifies the resource version at which the list response was constructed.
The ResourceVersion Parameter
The get, list and watch operations support the resourceVersion parameter.
The exact meaning of this parameter differs depending on the operation and the value of resourceVersion.
For get and list, the semantics of resource version are:
Get:
resourceVersion unset
resourceVersion="0"
resourceVersion="{value other than 0}"
Most Recent
Any
Not older than
List:
v1.19+ API servers support the resourceVersionMatch parameter, which
determines how resourceVersion is applied to list calls. It is highly
recommended that resourceVersionMatch be set for list calls where
resourceVersion is set. If resourceVersion is unset, resourceVersionMatch
is not allowed. For backward compatibility, clients must tolerate the server
ignoring resourceVersionMatch:
When using resourceVersionMatch=NotOlderThan and limit is set, clients must
handle HTTP 410 "Gone" responses. For example, the client might retry with a
newer resourceVersion or fall back to resourceVersion="".
When using resourceVersionMatch=Exact and limit is unset, clients must
verify that the resourceVersion in the ListMeta of the response matches
the requested resourceVersion, and handle the case where it does not. For
example, the client might fall back to a request with limit set.
Unless you have strong consistency requirements, using resourceVersionMatch=NotOlderThan and
a known resourceVersion is preferable since it can achieve better performance and scalability
of your cluster than leaving resourceVersion and resourceVersionMatch unset, which requires
quorum read to be served.
resourceVersionMatch and paging parameters for list
resourceVersionMatch param
paging params
resourceVersion unset
resourceVersion="0"
resourceVersion="{value other than 0}"
resourceVersionMatch unset
limit unset
Most Recent
Any
Not older than
resourceVersionMatch unset
limit=<n>, continue unset
Most Recent
Any
Exact
resourceVersionMatch unset
limit=<n>, continue=<token>
Continue Token, Exact
Invalid, treated as Continue Token, Exact
Invalid, HTTP 400 Bad Request
resourceVersionMatch=Exact [1]
limit unset
Invalid
Invalid
Exact
resourceVersionMatch=Exact [1]
limit=<n>, continue unset
Invalid
Invalid
Exact
resourceVersionMatch=NotOlderThan [1]
limit unset
Invalid
Any
Not older than
resourceVersionMatch=NotOlderThan [1]
limit=<n>, continue unset
Invalid
Any
Not older than
Footnotes:
[1] If the server does not honor the resourceVersionMatch parameter, it is treated as if it is unset.
The meaning of the get and list semantics are:
Most Recent: Return data at the most recent resource version. The returned data must be
consistent (i.e. served from etcd via a quorum read).
Any: Return data at any resource version. The newest available resource version is preferred,
but strong consistency is not required; data at any resource version may be served. It is possible
for the request to return data at a much older resource version that the client has previously
observed, particularly in high availability configurations, due to partitions or stale
caches. Clients that cannot tolerate this should not use this semantic.
Not older than: Return data at least as new as the provided resourceVersion. The newest
available data is preferred, but any data not older than the provided resourceVersion may be
served. For list requests to servers that honor the resourceVersionMatch parameter, this
guarantees that resourceVersion in the ListMeta is not older than the requested resourceVersion,
but does not make any guarantee about the resourceVersion in the ObjectMeta of the list items
since ObjectMeta.resourceVersion tracks when an object was last updated, not how up-to-date the
object is when served.
Exact: Return data at the exact resource version provided. If the provided resourceVersion is
unavailable, the server responds with HTTP 410 "Gone". For list requests to servers that honor the
resourceVersionMatch parameter, this guarantees that resourceVersion in the ListMeta is the same as
the requested resourceVersion, but does not make any guarantee about the resourceVersion in the
ObjectMeta of the list items since ObjectMeta.resourceVersion tracks when an object was last
updated, not how up-to-date the object is when served.
Continue Token, Exact: Return data at the resource version of the initial paginated list
call. The returned Continue Tokens are responsible for keeping track of the initially provided
resource version for all paginated list calls after the initial paginated list call.
For watch, the semantics of resource version are:
Watch:
resourceVersion for watch
resourceVersion unset
resourceVersion="0"
resourceVersion="{value other than 0}"
Get State and Start at Most Recent
Get State and Start at Any
Start at Exact
The meaning of the watch semantics are:
Get State and Start at Most Recent: Start a watch at the most recent resource version, which must be consistent (i.e. served from etcd via a quorum read). To establish initial state, the watch begins with synthetic "Added" events of all resources instances that exist at the starting resource version. All following watch events are for all changes that occurred after the resource version the watch started at.
Get State and Start at Any: Warning: Watches initialize this way may return arbitrarily stale data! Please review this semantic before using it, and favor the other semantics where possible. Start a watch at any resource version, the most recent resource version available is preferred, but not required; any starting resource version is allowed. It is possible for the watch to start at a much older resource version that the client has previously observed, particularly in high availability configurations, due to partitions or stale caches. Clients that cannot tolerate this should not start a watch with this semantic. To establish initial state, the watch begins with synthetic "Added" events for all resources instances that exist at the starting resource version. All following watch events are for all changes that occurred after the resource version the watch started at.
Start at Exact: Start a watch at an exact resource version. The watch events are for all changes after the provided resource version. Unlike "Get State and Start at Most Recent" and "Get State and Start at Any", the watch is not started with synthetic "Added" events for the provided resource version. The client is assumed to already have the initial state at the starting resource version since the client provided the resource version.
"410 Gone" responses
Servers are not required to serve all older resource versions and may return a HTTP 410 (Gone) status code if a client requests a resourceVersion older than the server has retained. Clients must be able to tolerate 410 (Gone) responses. See Efficient detection of changes for details on how to handle 410 (Gone) responses when watching resources.
If you request a a resourceVersion outside the applicable limit then, depending on whether a request is served from cache or not, the API server may reply with a 410 Gone HTTP response.
Unavailable resource versions
Servers are not required to serve unrecognized resource versions. List and Get requests for unrecognized resource versions may wait briefly for the resource version to become available, should timeout with a 504 (Gateway Timeout) if the provided resource versions does not become available in a reasonable amount of time, and may respond with a Retry-After response header indicating how many seconds a client should wait before retrying the request. Currently, the kube-apiserver also identifies these responses with a "Too large resource version" message. Watch requests for an unrecognized resource version may wait indefinitely (until the request timeout) for the resource version to become available.
2.2 - Server-Side Apply
FEATURE STATE:Kubernetes v1.16 [beta]
Introduction
Server Side Apply helps users and controllers manage their resources through
declarative configurations. Clients can create and modify their
objects
declaratively by sending their fully specified intent.
A fully specified intent is a partial object that only includes the fields and
values for which the user has an opinion. That intent either creates a new
object or is combined, by the server, with the existing object.
The system supports multiple appliers collaborating on a single object.
Changes to an object's fields are tracked through a "field management"
mechanism. When a field's value changes, ownership moves from its current
manager to the manager making the change. When trying to apply an object,
fields that have a different value and are owned by another manager will
result in a conflict. This is done in order to signal that the
operation might undo another collaborator's changes. Conflicts can be forced,
in which case the value will be overridden, and the ownership will be
transferred.
If you remove a field from a configuration and apply the configuration, server
side apply checks if there are any other field managers that also own the
field. If the field is not owned by any other field managers, it is either
deleted from the live object or reset to its default value, if it has one. The
same rule applies to associative list or map items.
Server side apply is meant both as a replacement for the original kubectl apply and as a simpler mechanism for controllers to enact their changes.
If you have Server Side Apply enabled, the control plane tracks managed fields
for all newly created objects.
Field Management
Compared to the last-applied annotation managed by kubectl, Server Side
Apply uses a more declarative approach, which tracks a user's field management,
rather than a user's last applied state. This means that as a side effect of
using Server Side Apply, information about which field manager manages each
field in an object also becomes available.
For a user to manage a field, in the Server Side Apply sense, means that the
user relies on and expects the value of the field not to change. The user who
last made an assertion about the value of a field will be recorded as the
current field manager. This can be done either by changing the value with
POST, PUT, or non-apply PATCH, or by including the field in a config sent
to the Server Side Apply endpoint. When using Server-Side Apply, trying to
change a field which is managed by someone else will result in a rejected
request (if not forced, see Conflicts).
When two or more appliers set a field to the same value, they share ownership of
that field. Any subsequent attempt to change the value of the shared field, by any of
the appliers, results in a conflict. Shared field owners may give up ownership
of a field by removing it from their configuration.
Field management is stored in amanagedFields field that is part of an object's
metadata.
A simple example of an object created by Server Side Apply could look like this:
apiVersion:v1kind:ConfigMapmetadata:name:test-cmnamespace:defaultlabels:test-label:testmanagedFields:- manager:kubectloperation:ApplyapiVersion:v1time:"2010-10-10T0:00:00Z"fieldsType:FieldsV1fieldsV1:f:metadata:f:labels:f:test-label:{}f:data:f:key:{}data:key:some value
The above object contains a single manager in metadata.managedFields. The
manager consists of basic information about the managing entity itself, like
operation type, API version, and the fields managed by it.
Note: This field is managed by the API server and should not be changed by
the user.
Nevertheless it is possible to change metadata.managedFields through an
Update operation. Doing so is highly discouraged, but might be a reasonable
option to try if, for example, the managedFields get into an inconsistent
state (which clearly should not happen).
The format of the managedFields is described in the
API.
Conflicts
A conflict is a special status error that occurs when an Apply operation tries
to change a field, which another user also claims to manage. This prevents an
applier from unintentionally overwriting the value set by another user. When
this occurs, the applier has 3 options to resolve the conflicts:
Overwrite value, become sole manager: If overwriting the value was
intentional (or if the applier is an automated process like a controller) the
applier should set the force query parameter to true and make the request
again. This forces the operation to succeed, changes the value of the field,
and removes the field from all other managers' entries in managedFields.
Don't overwrite value, give up management claim: If the applier doesn't
care about the value of the field anymore, they can remove it from their
config and make the request again. This leaves the value unchanged, and causes
the field to be removed from the applier's entry in managedFields.
Don't overwrite value, become shared manager: If the applier still cares
about the value of the field, but doesn't want to overwrite it, they can
change the value of the field in their config to match the value of the object
on the server, and make the request again. This leaves the value unchanged,
and causes the field's management to be shared by the applier and all other
field managers that already claimed to manage it.
Managers
Managers identify distinct workflows that are modifying the object (especially
useful on conflicts!), and can be specified through the fieldManager query
parameter as part of a modifying request. It is required for the apply endpoint,
though kubectl will default it to kubectl. For other updates, its default is
computed from the user-agent.
Apply and Update
The two operation types considered by this feature are Apply (PATCH with
content type application/apply-patch+yaml) and Update (all other operations
which modify the object). Both operations update the managedFields, but behave
a little differently.
Note:
Whether you are submitting JSON data or YAML data, use
application/apply-patch+yaml as the Content-Type header value.
All JSON documents are valid YAML.
For instance, only the apply operation fails on conflicts while update does
not. Also, apply operations are required to identify themselves by providing a
fieldManager query parameter, while the query parameter is optional for update
operations. Finally, when using the apply operation you cannot have
managedFields in the object that is being applied.
An example object with multiple managers could look like this:
apiVersion:v1kind:ConfigMapmetadata:name:test-cmnamespace:defaultlabels:test-label:testmanagedFields:- manager:kubectloperation:ApplyapiVersion:v1fields:f:metadata:f:labels:f:test-label:{}- manager:kube-controller-manageroperation:UpdateapiVersion:v1time:'2019-03-30T16:00:00.000Z'fields:f:data:f:key:{}data:key:new value
In this example, a second operation was run as an Update by the manager called
kube-controller-manager. The update changed a value in the data field which
caused the field's management to change to the kube-controller-manager.
If this update would have been an Apply operation, the operation
would have failed due to conflicting ownership.
Merge strategy
The merging strategy, implemented with Server Side Apply, provides a generally
more stable object lifecycle. Server Side Apply tries to merge fields based on
the actor who manages them instead of overruling based on values. This way
multiple actors can update the same object without causing unexpected interference.
When a user sends a "fully-specified intent" object to the Server Side Apply
endpoint, the server merges it with the live object favoring the value in the
applied config if it is specified in both places. If the set of items present in
the applied config is not a superset of the items applied by the same user last
time, each missing item not managed by any other appliers is removed. For
more information about how an object's schema is used to make decisions when
merging, see
sigs.k8s.io/structured-merge-diff.
A number of markers were added in Kubernetes 1.16 and 1.17, to allow API
developers to describe the merge strategy supported by lists, maps, and
structs. These markers can be applied to objects of the respective type,
in Go files or in the OpenAPI schema definition of the
CRD:
Golang marker
OpenAPI extension
Accepted values
Description
Introduced in
//+listType
x-kubernetes-list-type
atomic/set/map
Applicable to lists. atomic and set apply to lists with scalar elements only. map applies to lists of nested types only. If configured as atomic, the entire list is replaced during merge; a single manager manages the list as a whole at any one time. If set or map, different managers can manage entries separately.
1.16
//+listMapKey
x-kubernetes-list-map-keys
Slice of map keys that uniquely identify entries for example ["port", "protocol"]
Only applicable when +listType=map. A slice of strings whose values in combination must uniquely identify list entries. While there can be multiple keys, listMapKey is singular because keys need to be specified individually in the Go type.
1.16
//+mapType
x-kubernetes-map-type
atomic/granular
Applicable to maps. atomic means that the map can only be entirely replaced by a single manager. granular means that the map supports separate managers updating individual fields.
1.17
//+structType
x-kubernetes-map-type
atomic/granular
Applicable to structs; otherwise same usage and OpenAPI annotation as //+mapType.
1.17
Custom Resources
By default, Server Side Apply treats custom resources as unstructured data. All
keys are treated the same as struct fields, and all lists are considered atomic.
If the Custom Resource Definition defines a
schema
that contains annotations as defined in the previous "Merge Strategy"
section, these annotations will be used when merging objects of this
type.
Using Server-Side Apply in a controller
As a developer of a controller, you can use server-side apply as a way to
simplify the update logic of your controller. The main differences with a
read-modify-write and/or patch are the following:
the applied object must contain all the fields that the controller cares about.
there are no way to remove fields that haven't been applied by the controller
before (controller can still send a PATCH/UPDATE for these use-cases).
the object doesn't have to be read beforehand, resourceVersion doesn't have
to be specified.
It is strongly recommended for controllers to always "force" conflicts, since they
might not be able to resolve or act on these conflicts.
Transferring Ownership
In addition to the concurrency controls provided by conflict resolution,
Server Side Apply provides ways to perform coordinated
field ownership transfers from users to controllers.
This is best explained by example. Let's look at how to safely transfer
ownership of the replicas field from a user to a controller while enabling
automatic horizontal scaling for a Deployment, using the HorizontalPodAutoscaler
resource and its accompanying controller.
Say a user has defined deployment with replicas set to the desired value:
Now, the user would like to remove replicas from their configuration, so they
don't accidentally fight with the HPA controller. However, there is a race: it
might take some time before HPA feels the need to adjust replicas, and if
the user removes replicas before the HPA writes to the field and becomes
its owner, then apiserver will set replicas to 1, its default value. This
is not what the user wants to happen, even temporarily.
There are two solutions:
(basic) Leave replicas in the configuration; when HPA eventually writes to that
field, the system gives the user a conflict over it. At that point, it is safe
to remove from the configuration.
(more advanced) If, however, the user doesn't want to wait, for example
because they want to keep the cluster legible to coworkers, then they can take
the following steps to make it safe to remove replicas from their
configuration:
First, the user defines a new configuration containing only the replicas field:
If the apply results in a conflict with the HPA controller, then do nothing. The
conflict indicates the controller has claimed the field earlier in the
process than it sometimes does.
At this point the user may remove the replicas field from their configuration.
Note that whenever the HPA controller sets the replicas field to a new value,
the temporary field manager will no longer own any fields and will be
automatically deleted. No clean up is required.
Transferring Ownership Between Users
Users can transfer ownership of a field between each other by setting the field
to the same value in both of their applied configs, causing them to share
ownership of the field. Once the users share ownership of the field, one of them
can remove the field from their applied configuration to give up ownership and
complete the transfer to the other user.
Comparison with Client Side Apply
A consequence of the conflict detection and resolution implemented by Server
Side Apply is that an applier always has up to date field values in their local
state. If they don't, they get a conflict the next time they apply. Any of the
three options to resolve conflicts results in the applied configuration being an
up to date subset of the object on the server's fields.
This is different from Client Side Apply, where outdated values which have been
overwritten by other users are left in an applier's local config. These values
only become accurate when the user updates that specific field, if ever, and an
applier has no way of knowing whether their next apply will overwrite other
users' changes.
Another difference is that an applier using Client Side Apply is unable to
change the API version they are using, but Server Side Apply supports this use
case.
Upgrading from client-side apply to server-side apply
Client-side apply users who manage a resource with kubectl apply can start
using server-side apply with the following flag.
kubectl apply --server-side [--dry-run=server]
By default, field management of the object transfers from client-side apply to
kubectl server-side apply without encountering conflicts.
Caution:
Keep the last-applied-configuration annotation up to date.
The annotation infers client-side apply's managed fields.
Any fields not managed by client-side apply raise conflicts.
For example, if you used kubectl scale to update the replicas field after
client-side apply, then this field is not owned by client-side apply and
creates conflicts on kubectl apply --server-side.
This behavior applies to server-side apply with the kubectl field manager.
As an exception, you can opt-out of this behavior by specifying a different,
non-default field manager, as seen in the following example. The default field
manager for kubectl server-side apply is kubectl.
Downgrading from server-side apply to client-side apply
If you manage a resource with kubectl apply --server-side,
you can downgrade to client-side apply directly with kubectl apply.
Downgrading works because kubectl server-side apply keeps the
last-applied-configuration annotation up-to-date if you use
kubectl apply.
This behavior applies to server-side apply with the kubectl field manager.
As an exception, you can opt-out of this behavior by specifying a different,
non-default field manager, as seen in the following example. The default field
manager for kubectl server-side apply is kubectl.
With the Server Side Apply feature enabled, the PATCH endpoint accepts the
additional application/apply-patch+yaml content type. Users of Server Side
Apply can send partially specified objects as YAML to this endpoint. When
applying a configuration, one should always include all the fields that they
have an opinion about.
Clearing ManagedFields
It is possible to strip all managedFields from an object by overwriting them
using MergePatch, StrategicMergePatch, JSONPatch or Update, so every
non-apply operation. This can be done by overwriting the managedFields field
with an empty entry. Two examples are:
This will overwrite the managedFields with a list containing a single empty
entry that then results in the managedFields being stripped entirely from the
object. Note that setting the managedFields to an empty list will not
reset the field. This is on purpose, so managedFields never get stripped by
clients not aware of the field.
In cases where the reset operation is combined with changes to other fields
than the managedFields, this will result in the managedFields being reset
first and the other changes being processed afterwards. As a result the
applier takes ownership of any fields updated in the same request.
Caution: Server Side Apply does not correctly track ownership on
sub-resources that don't receive the resource object type. If you are
using Server Side Apply with such a sub-resource, the changed fields
won't be tracked.
Disabling the feature
Server Side Apply is a beta feature, so it is enabled by default. To turn this
feature gate off,
you need to include the --feature-gates ServerSideApply=false flag when
starting kube-apiserver. If you have multiple kube-apiserver replicas, all
should have the same flag setting.
2.3 - Client Libraries
This page contains an overview of the client libraries for using the Kubernetes
API from various programming languages.
To write applications using the Kubernetes REST API,
you do not need to implement the API calls and request/response types yourself.
You can use a client library for the programming language you are using.
Client libraries often handle common tasks such as authentication for you.
Most client libraries can discover and use the Kubernetes Service Account to
authenticate if the API client is running inside the Kubernetes cluster, or can
understand the kubeconfig file
format to read the credentials and the API Server address.
Caution:
This section links to third party projects that provide functionality required by Kubernetes. The Kubernetes project authors aren't responsible for these projects. This page follows CNCF website guidelines by listing projects alphabetically. To add a project to this list, read the content guide before submitting a change.
The following Kubernetes API client libraries are provided and maintained by
their authors, not the Kubernetes team.
This document details the deprecation policy for various facets of the system.
Kubernetes is a large system with many components and many contributors. As
with any such software, the feature set naturally evolves over time, and
sometimes a feature may need to be removed. This could include an API, a flag,
or even an entire feature. To avoid breaking existing users, Kubernetes follows
a deprecation policy for aspects of the system that are slated to be removed.
Deprecating parts of the API
Since Kubernetes is an API-driven system, the API has evolved over time to
reflect the evolving understanding of the problem space. The Kubernetes API is
actually a set of APIs, called "API groups", and each API group is
independently versioned. API versions fall
into 3 main tracks, each of which has different policies for deprecation:
Example
Track
v1
GA (generally available, stable)
v1beta1
Beta (pre-release)
v1alpha1
Alpha (experimental)
A given release of Kubernetes can support any number of API groups and any
number of versions of each.
The following rules govern the deprecation of elements of the API. This
includes:
REST resources (aka API objects)
Fields of REST resources
Annotations on REST resources, including "beta" annotations but not
including "alpha" annotations.
Enumerated or constant values
Component config structures
These rules are enforced between official releases, not between
arbitrary commits to master or release branches.
Rule #1: API elements may only be removed by incrementing the version of the
API group.
Once an API element has been added to an API group at a particular version, it
can not be removed from that version or have its behavior significantly
changed, regardless of track.
Note: For historical reasons, there are 2 "monolithic" API groups - "core" (no
group name) and "extensions". Resources will incrementally be moved from these
legacy API groups into more domain-specific API groups.
Rule #2: API objects must be able to round-trip between API versions in a given
release without information loss, with the exception of whole REST resources
that do not exist in some versions.
For example, an object can be written as v1 and then read back as v2 and
converted to v1, and the resulting v1 resource will be identical to the
original. The representation in v2 might be different from v1, but the system
knows how to convert between them in both directions. Additionally, any new
field added in v2 must be able to round-trip to v1 and back, which means v1
might have to add an equivalent field or represent it as an annotation.
Rule #3: An API version in a given track may not be deprecated until a new
API version at least as stable is released.
GA API versions can replace GA API versions as well as beta and alpha API
versions. Beta API versions may not replace GA API versions.
Rule #4a: Other than the most recent API versions in each track, older API
versions must be supported after their announced deprecation for a duration of
no less than:
GA: 12 months or 3 releases (whichever is longer)
Beta: 9 months or 3 releases (whichever is longer)
Note: Until #52185 is
resolved, no API versions that have been persisted to storage may be removed.
Serving REST endpoints for those versions may be disabled (subject to the
deprecation timelines in this document), but the API server must remain capable
of decoding/converting previously persisted data from storage.
Rule #4b: The "preferred" API version and the "storage version" for a given
group may not advance until after a release has been made that supports both the
new version and the previous version
Users must be able to upgrade to a new release of Kubernetes and then roll back
to a previous release, without converting anything to the new API version or
suffering breakages (unless they explicitly used features only available in the
newer version). This is particularly evident in the stored representation of
objects.
All of this is best illustrated by examples. Imagine a Kubernetes release,
version X, which introduces a new API group. A new Kubernetes release is made
every approximately 3 months (4 per year). The following table describes which
API versions are supported in a series of subsequent releases.
Consider a hypothetical REST resource named Widget, which was present in API v1
in the above timeline, and which needs to be deprecated. We document and
announce the
deprecation in sync with release X+1. The Widget resource still exists in API
version v1 (deprecated) but not in v2alpha1. The Widget resource continues to
exist and function in releases up to and including X+8. Only in release X+9,
when API v1 has aged out, does the Widget resource cease to exist, and the
behavior get removed.
Starting in Kubernetes v1.19, making an API request to a deprecated REST API endpoint:
Returns a Warning header (as defined in RFC7234, Section 5.5) in the API response.
Adds a "k8s.io/deprecated":"true" annotation to the audit event recorded for the request.
Sets an apiserver_requested_deprecated_apis gauge metric to 1 in the kube-apiserver
process. The metric has labels for group, version, resource, subresource that can be joined
to the apiserver_request_total metric, and a removed_release label that indicates the
Kubernetes release in which the API will no longer be served. The following Prometheus query
returns information about requests made to deprecated APIs which will be removed in v1.22:
As with whole REST resources, an individual field which was present in API v1
must exist and function until API v1 is removed. Unlike whole resources, the
v2 APIs may choose a different representation for the field, as long as it can
be round-tripped. For example a v1 field named "magnitude" which was
deprecated might be named "deprecatedMagnitude" in API v2. When v1 is
eventually removed, the deprecated field can be removed from v2.
Enumerated or constant values
As with whole REST resources and fields thereof, a constant value which was
supported in API v1 must exist and function until API v1 is removed.
Component config structures
Component configs are versioned and managed similar to REST resources.
Future work
Over time, Kubernetes will introduce more fine-grained API versions, at which
point these rules will be adjusted as needed.
Deprecating a flag or CLI
The Kubernetes system is comprised of several different programs cooperating.
Sometimes, a Kubernetes release might remove flags or CLI commands
(collectively "CLI elements") in these programs. The individual programs
naturally sort into two main groups - user-facing and admin-facing programs,
which vary slightly in their deprecation policies. Unless a flag is explicitly
prefixed or documented as "alpha" or "beta", it is considered GA.
CLI elements are effectively part of the API to the system, but since they are
not versioned in the same way as the REST API, the rules for deprecation are as
follows:
Rule #5a: CLI elements of user-facing components (e.g. kubectl) must function
after their announced deprecation for no less than:
GA: 12 months or 2 releases (whichever is longer)
Beta: 3 months or 1 release (whichever is longer)
Alpha: 0 releases
Rule #5b: CLI elements of admin-facing components (e.g. kubelet) must function
after their announced deprecation for no less than:
GA: 6 months or 1 release (whichever is longer)
Beta: 3 months or 1 release (whichever is longer)
Alpha: 0 releases
Rule #6: Deprecated CLI elements must emit warnings (optionally disable)
when used.
Deprecating a feature or behavior
Occasionally a Kubernetes release needs to deprecate some feature or behavior
of the system that is not controlled by the API or CLI. In this case, the
rules for deprecation are as follows:
Rule #7: Deprecated behaviors must function for no less than 1 year after their
announced deprecation.
This does not imply that all changes to the system are governed by this policy.
This applies only to significant, user-visible behaviors which impact the
correctness of applications running on Kubernetes or that impact the
administration of Kubernetes clusters, and which are being removed entirely.
An exception to the above rule is feature gates. Feature gates are key=value
pairs that allow for users to enable/disable experimental features.
Feature gates are intended to cover the development life cycle of a feature - they
are not intended to be long-term APIs. As such, they are expected to be deprecated
and removed after a feature becomes GA or is dropped.
As a feature moves through the stages, the associated feature gate evolves.
The feature life cycle matched to its corresponding feature gate is:
Alpha: the feature gate is disabled by default and can be enabled by the user.
Beta: the feature gate is enabled by default and can be disabled by the user.
GA: the feature gate is deprecated (see "Deprecation") and becomes
non-operational.
GA, deprecation window complete: the feature gate is removed and calls to it are
no longer accepted.
Deprecation
Features can be removed at any point in the life cycle prior to GA. When features are
removed prior to GA, their associated feature gates are also deprecated.
When an invocation tries to disable a non-operational feature gate, the call fails in order
to avoid unsupported scenarios that might otherwise run silently.
In some cases, removing pre-GA features requires considerable time. Feature gates can remain
operational until their associated feature is fully removed, at which point the feature gate
itself can be deprecated.
When removing a feature gate for a GA feature also requires considerable time, calls to
feature gates may remain operational if the feature gate has no effect on the feature,
and if the feature gate causes no errors.
Features intended to be disabled by users should include a mechanism for disabling the
feature in the associated feature gate.
Versioning for feature gates is different from the previously discussed components,
therefore the rules for deprecation are as follows:
Rule #8: Feature gates must be deprecated when the corresponding feature they control
transitions a lifecycle stage as follows. Feature gates must function for no less than:
Beta feature to GA: 6 months or 2 releases (whichever is longer)
Beta feature to EOL: 3 months or 1 release (whichever is longer)
Alpha feature to EOL: 0 releases
Rule #9: Deprecated feature gates must respond with a warning when used. When a feature gate
is deprecated it must be documented in both in the release notes and the corresponding CLI help.
Both warnings and documentation must indicate whether a feature gate is non-operational.
Deprecating a metric
Each component of the Kubernetes control-plane exposes metrics (usually the
/metrics endpoint), which are typically ingested by cluster administrators.
Not all metrics are the same: some metrics are commonly used as SLIs or used
to determine SLOs, these tend to have greater import. Other metrics are more
experimental in nature or are used primarily in the Kubernetes development
process.
Accordingly, metrics fall under two stability classes (ALPHA and STABLE);
this impacts removal of a metric during a Kubernetes release. These classes
are determined by the perceived importance of the metric. The rules for
deprecating and removing a metric are as follows:
Rule #9a: Metrics, for the corresponding stability class, must function for no less than:
STABLE: 4 releases or 12 months (whichever is longer)
ALPHA: 0 releases
Rule #9b: Metrics, after their announced deprecation, must function for no less than:
STABLE: 3 releases or 9 months (whichever is longer)
ALPHA: 0 releases
Deprecated metrics will have their description text prefixed with a deprecation notice
string '(Deprecated from x.y)' and a warning log will be emitted during metric
registration. Like their stable undeprecated counterparts, deprecated metrics will
be automatically registered to the metrics endpoint and therefore visible.
On a subsequent release (when the metric's deprecatedVersion is equal to
current_kubernetes_version - 3)), a deprecated metric will become a hidden metric.
Unlike their deprecated counterparts, hidden metrics will no longer be
automatically registered to the metrics endpoint (hence hidden). However, they
can be explicitly enabled through a command line flag on the binary
(--show-hidden-metrics-for-version=). This provides cluster admins an
escape hatch to properly migrate off of a deprecated metric, if they were not
able to react to the earlier deprecation warnings. Hidden metrics should be
deleted after one release.
Exceptions
No policy can cover every possible situation. This policy is a living
document, and will evolve over time. In practice, there will be situations
that do not fit neatly into this policy, or for which this policy becomes a
serious impediment. Such situations should be discussed with SIGs and project
leaders to find the best solutions for those specific cases, always bearing in
mind that Kubernetes is committed to being a stable system that, as much as
possible, never breaks users. Exceptions will always be announced in all
relevant release notes.
2.5 - Deprecated API Migration Guide
As the Kubernetes API evolves, APIs are periodically reorganized or upgraded.
When APIs evolve, the old API is deprecated and eventually removed.
This page contains information you need to know when migrating from
deprecated API versions to newer and more stable API versions.
Removed APIs by release
v1.25
The v1.25 release will stop serving the following deprecated API versions:
EndpointSlice
The discovery.k8s.io/v1beta1 API version of EndpointSlice will no longer be served in v1.25.
Migrate manifests and API clients to use the discovery.k8s.io/v1 API version, available since v1.21.
All existing persisted objects are accessible via the new API
Notable changes in discovery.k8s.io/v1:
use per Endpoint nodeName field instead of deprecated topology["kubernetes.io/hostname"] field
use per Endpoint zone field instead of deprecated topology["topology.kubernetes.io/zone"] field
topology is replaced with the deprecatedTopology field which is not writable in v1
Event
The events.k8s.io/v1beta1 API version of Event will no longer be served in v1.25.
Migrate manifests and API clients to use the events.k8s.io/v1 API version, available since v1.19.
All existing persisted objects are accessible via the new API
Notable changes in events.k8s.io/v1:
type is limited to Normal and Warning
involvedObject is renamed to regarding
action, reason, reportingComponent, and reportingInstance are required when creating new events.k8s.io/v1 Events
use eventTime instead of the deprecated firstTimestamp field (which is renamed to deprecatedFirstTimestamp and not permitted in new events.k8s.io/v1 Events)
use series.lastObservedTime instead of the deprecated lastTimestamp field (which is renamed to deprecatedLastTimestamp and not permitted in new events.k8s.io/v1 Events)
use series.count instead of the deprecated count field (which is renamed to deprecatedCount and not permitted in new events.k8s.io/v1 Events)
use reportingComponent instead of the deprecated source.component field (which is renamed to deprecatedSource.component and not permitted in new events.k8s.io/v1 Events)
use reportingInstance instead of the deprecated source.host field (which is renamed to deprecatedSource.host and not permitted in new events.k8s.io/v1 Events)
RuntimeClass
RuntimeClass in the node.k8s.io/v1beta1 API version will no longer be served in v1.25.
Migrate manifests and API clients to use the node.k8s.io/v1 API version, available since v1.20.
All existing persisted objects are accessible via the new API
No notable changes
PodSecurityPolicy
PodSecurityPolicy in the policy/v1beta1 API version will no longer be served in v1.25, and the PodSecurityPolicy admission controller will be removed.
PodSecurityPolicy replacements are still under discussion, but current use can be migrated to
3rd-party admission webhooks now.
v1.22
The v1.22 release will stop serving the following deprecated API versions:
Webhook resources
The admissionregistration.k8s.io/v1beta1 API version of MutatingWebhookConfiguration and ValidatingWebhookConfiguration will no longer be served in v1.22.
Migrate manifests and API clients to use the admissionregistration.k8s.io/v1 API version, available since v1.16.
All existing persisted objects are accessible via the new APIs
Notable changes:
webhooks[*].failurePolicy default changed from Ignore to Fail for v1
webhooks[*].matchPolicy default changed from Exact to Equivalent for v1
webhooks[*].timeoutSeconds default changed from 30s to 10s for v1
webhooks[*].sideEffects default value is removed, and the field made required, and only None and NoneOnDryRun are permitted for v1
webhooks[*].admissionReviewVersions default value is removed and the field made required for v1 (supported versions for AdmissionReview are v1 and v1beta1)
webhooks[*].name must be unique in the list for objects created via admissionregistration.k8s.io/v1
CustomResourceDefinition
The apiextensions.k8s.io/v1beta1 API version of CustomResourceDefinition will no longer be served in v1.22.
Migrate manifests and API clients to use the apiextensions.k8s.io/v1 API version, available since v1.16.
All existing persisted objects are accessible via the new API
Notable changes:
spec.scope is no longer defaulted to Namespaced and must be explicitly specified
spec.version is removed in v1; use spec.versions instead
spec.validation is removed in v1; use spec.versions[*].schema instead
spec.subresources is removed in v1; use spec.versions[*].subresources instead
spec.additionalPrinterColumns is removed in v1; use spec.versions[*].additionalPrinterColumns instead
spec.conversion.webhookClientConfig is moved to spec.conversion.webhook.clientConfig in v1
spec.conversion.conversionReviewVersions is moved to spec.conversion.webhook.conversionReviewVersions in v1
spec.versions[*].schema.openAPIV3Schema is now required when creating v1 CustomResourceDefinition objects, and must be a structural schema
spec.preserveUnknownFields: true is disallowed when creating v1 CustomResourceDefinition objects; it must be specified within schema definitions as x-kubernetes-preserve-unknown-fields: true
In additionalPrinterColumns items, the JSONPath field was renamed to jsonPath in v1 (fixes #66531)
APIService
The apiregistration.k8s.io/v1beta1 API version of APIService will no longer be served in v1.22.
Migrate manifests and API clients to use the apiregistration.k8s.io/v1 API version, available since v1.10.
All existing persisted objects are accessible via the new API
No notable changes
TokenReview
The authentication.k8s.io/v1beta1 API version of TokenReview will no longer be served in v1.22.
Migrate manifests and API clients to use the authentication.k8s.io/v1 API version, available since v1.6.
No notable changes
SubjectAccessReview resources
The authorization.k8s.io/v1beta1 API version of LocalSubjectAccessReview, SelfSubjectAccessReview, and SubjectAccessReview will no longer be served in v1.22.
Migrate manifests and API clients to use the authorization.k8s.io/v1 API version, available since v1.6.
Notable changes:
spec.group was renamed to spec.groups in v1 (fixes #32709)
CertificateSigningRequest
The certificates.k8s.io/v1beta1 API version of CertificateSigningRequest will no longer be served in v1.22.
Migrate manifests and API clients to use the certificates.k8s.io/v1 API version, available since v1.19.
All existing persisted objects are accessible via the new API
Notable changes in certificates.k8s.io/v1:
For API clients requesting certificates:
spec.signerName is now required (see known Kubernetes signers), and requests for kubernetes.io/legacy-unknown are not allowed to be created via the certificates.k8s.io/v1 API
spec.usages is now required, may not contain duplicate values, and must only contain known usages
For API clients approving or signing certificates:
status.conditions may not contain duplicate types
status.conditions[*].status is now required
status.certificate must be PEM-encoded, and contain only CERTIFICATE blocks
Lease
The coordination.k8s.io/v1beta1 API version of Lease will no longer be served in v1.22.
Migrate manifests and API clients to use the coordination.k8s.io/v1 API version, available since v1.14.
All existing persisted objects are accessible via the new API
No notable changes
Ingress
The extensions/v1beta1 and networking.k8s.io/v1beta1 API versions of Ingress will no longer be served in v1.22.
Migrate manifests and API clients to use the networking.k8s.io/v1 API version, available since v1.19.
All existing persisted objects are accessible via the new API
Notable changes:
spec.backend is renamed to spec.defaultBackend
The backend serviceName field is renamed to service.name
Numeric backend servicePort fields are renamed to service.port.number
String backend servicePort fields are renamed to service.port.name
pathType is now required for each specified path. Options are Prefix, Exact, and ImplementationSpecific. To match the undefined v1beta1 behavior, use ImplementationSpecific.
IngressClass
The networking.k8s.io/v1beta1 API version of IngressClass will no longer be served in v1.22.
Migrate manifests and API clients to use the networking.k8s.io/v1 API version, available since v1.19.
All existing persisted objects are accessible via the new API
No notable changes
RBAC resources
The rbac.authorization.k8s.io/v1beta1 API version of ClusterRole, ClusterRoleBinding, Role, and RoleBinding will no longer be served in v1.22.
Migrate manifests and API clients to use the rbac.authorization.k8s.io/v1 API version, available since v1.8.
All existing persisted objects are accessible via the new APIs
No notable changes
PriorityClass
The scheduling.k8s.io/v1beta1 API version of PriorityClass will no longer be served in v1.22.
Migrate manifests and API clients to use the scheduling.k8s.io/v1 API version, available since v1.14.
All existing persisted objects are accessible via the new API
No notable changes
Storage resources
The storage.k8s.io/v1beta1 API version of CSIDriver, CSINode, StorageClass, and VolumeAttachment will no longer be served in v1.22.
Migrate manifests and API clients to use the storage.k8s.io/v1 API version
CSIDriver is available in storage.k8s.io/v1 since v1.19.
CSINode is available in storage.k8s.io/v1 since v1.17
StorageClass is available in storage.k8s.io/v1 since v1.6
VolumeAttachment is available in storage.k8s.io/v1 v1.13
All existing persisted objects are accessible via the new APIs
No notable changes
v1.16
The v1.16 release stopped serving the following deprecated API versions:
NetworkPolicy
The extensions/v1beta1 API version of NetworkPolicy is no longer served as of v1.16.
Migrate manifests and API clients to use the networking.k8s.io/v1 API version, available since v1.8.
All existing persisted objects are accessible via the new API
DaemonSet
The extensions/v1beta1 and apps/v1beta2 API versions of DaemonSet are no longer served as of v1.16.
Migrate manifests and API clients to use the apps/v1 API version, available since v1.9.
All existing persisted objects are accessible via the new API
Notable changes:
spec.templateGeneration is removed
spec.selector is now required and immutable after creation; use the existing template labels as the selector for seamless upgrades
spec.updateStrategy.type now defaults to RollingUpdate (the default in extensions/v1beta1 was OnDelete)
Deployment
The extensions/v1beta1, apps/v1beta1, and apps/v1beta2 API versions of Deployment are no longer served as of v1.16.
Migrate manifests and API clients to use the apps/v1 API version, available since v1.9.
All existing persisted objects are accessible via the new API
Notable changes:
spec.rollbackTo is removed
spec.selector is now required and immutable after creation; use the existing template labels as the selector for seamless upgrades
spec.progressDeadlineSeconds now defaults to 600 seconds (the default in extensions/v1beta1 was no deadline)
spec.revisionHistoryLimit now defaults to 10 (the default in apps/v1beta1 was 2, the default in extensions/v1beta1 was to retain all)
maxSurge and maxUnavailable now default to 25% (the default in extensions/v1beta1 was 1)
StatefulSet
The apps/v1beta1 and apps/v1beta2 API versions of StatefulSet are no longer served as of v1.16.
Migrate manifests and API clients to use the apps/v1 API version, available since v1.9.
All existing persisted objects are accessible via the new API
Notable changes:
spec.selector is now required and immutable after creation; use the existing template labels as the selector for seamless upgrades
spec.updateStrategy.type now defaults to RollingUpdate (the default in apps/v1beta1 was OnDelete)
ReplicaSet
The extensions/v1beta1, apps/v1beta1, and apps/v1beta2 API versions of ReplicaSet are no longer served as of v1.16.
Migrate manifests and API clients to use the apps/v1 API version, available since v1.9.
All existing persisted objects are accessible via the new API
Notable changes:
spec.selector is now required and immutable after creation; use the existing template labels as the selector for seamless upgrades
PodSecurityPolicy
The extensions/v1beta1 API version of PodSecurityPolicy is no longer served as of v1.16.
Migrate manifests and API client to use the policy/v1beta1 API version, available since v1.10.
Note that the policy/v1beta1 API version of PodSecurityPolicy will be removed in v1.25.
What to do
Test with deprecated APIs disabled
You can test your clusters by starting an API server with specific API versions disabled
to simulate upcoming removals. Add the following flag to the API server startup arguments:
Note that this may use non-ideal default values. To learn more about a specific
resource, check the Kubernetes API reference.
2.6 - Kubernetes API health endpoints
The Kubernetes API server provides API endpoints to indicate the current status of the API server.
This page describes these API endpoints and explains how you can use them.
API endpoints for health
The Kubernetes API server provides 3 API endpoints (healthz, livez and readyz) to indicate the current status of the API server.
The healthz endpoint is deprecated (since Kubernetes v1.16), and you should use the more specific livez and readyz endpoints instead.
The livez endpoint can be used with the --livez-grace-periodflag to specify the startup duration.
For a graceful shutdown you can specify the --shutdown-delay-durationflag with the /readyz endpoint.
Machines that check the health/livez/readyz of the API server should rely on the HTTP status code.
A status code 200 indicates the API server is healthy/live/ready, depending of the called endpoint.
The more verbose options shown below are intended to be used by human operators to debug their cluster or specially the state of the API server.
The following examples will show how you can interact with the health API endpoints.
For all endpoints you can use the verbose parameter to print out the checks and their status.
This can be useful for a human operator to debug the current status of the Api server, it is not intended to be consumed by a machine:
curl -k https://localhost:6443/livez?verbose
or from a remote host with authentication:
kubectl get --raw='/readyz?verbose'
The output will look like this:
[+]ping ok
[+]log ok
[+]etcd ok
[+]poststarthook/start-kube-apiserver-admission-initializer ok
[+]poststarthook/generic-apiserver-start-informers ok
[+]poststarthook/start-apiextensions-informers ok
[+]poststarthook/start-apiextensions-controllers ok
[+]poststarthook/crd-informer-synced ok
[+]poststarthook/bootstrap-controller ok
[+]poststarthook/rbac/bootstrap-roles ok
[+]poststarthook/scheduling/bootstrap-system-priority-classes ok
[+]poststarthook/start-cluster-authentication-info-controller ok
[+]poststarthook/start-kube-aggregator-informers ok
[+]poststarthook/apiservice-registration-controller ok
[+]poststarthook/apiservice-status-available-controller ok
[+]poststarthook/kube-apiserver-autoregistration ok
[+]autoregister-completion ok
[+]poststarthook/apiservice-openapi-controller ok
healthz check passed
The Kubernetes API server also supports to exclude specific checks.
The query parameters can also be combined like in this example:
[+]ping ok
[+]log ok
[+]etcd excluded: ok
[+]poststarthook/start-kube-apiserver-admission-initializer ok
[+]poststarthook/generic-apiserver-start-informers ok
[+]poststarthook/start-apiextensions-informers ok
[+]poststarthook/start-apiextensions-controllers ok
[+]poststarthook/crd-informer-synced ok
[+]poststarthook/bootstrap-controller ok
[+]poststarthook/rbac/bootstrap-roles ok
[+]poststarthook/scheduling/bootstrap-system-priority-classes ok
[+]poststarthook/start-cluster-authentication-info-controller ok
[+]poststarthook/start-kube-aggregator-informers ok
[+]poststarthook/apiservice-registration-controller ok
[+]poststarthook/apiservice-status-available-controller ok
[+]poststarthook/kube-apiserver-autoregistration ok
[+]autoregister-completion ok
[+]poststarthook/apiservice-openapi-controller ok
[+]shutdown ok
healthz check passed
Individual health checks
FEATURE STATE:Kubernetes v1.21 [alpha]
Each individual health check exposes an http endpoint and could can be checked individually.
The schema for the individual health checks is /livez/<healthcheck-name> where livez and readyz and be used to indicate if you want to check the liveness or the readiness of the API server.
The <healthcheck-name> path can be discovered using the verbose flag from above and take the path between [+] and ok.
These individual health checks should not be consumed by machines but can be helpful for a human operator to debug a system:
All Kubernetes clusters have two categories of users: service accounts managed
by Kubernetes, and normal users.
It is assumed that a cluster-independent service manages normal users in the following ways:
an administrator distributing private keys
a user store like Keystone or Google Accounts
a file with a list of usernames and passwords
In this regard, Kubernetes does not have objects which represent normal user
accounts. Normal users cannot be added to a cluster through an API call.
Even though a normal user cannot be added via an API call, any user that
presents a valid certificate signed by the cluster's certificate authority
(CA) is considered authenticated. In this configuration, Kubernetes determines
the username from the common name field in the 'subject' of the cert (e.g.,
"/CN=bob"). From there, the role based access control (RBAC) sub-system would
determine whether the user is authorized to perform a specific operation on a
resource. For more details, refer to the normal users topic in
certificate request
for more details about this.
In contrast, service accounts are users managed by the Kubernetes API. They are
bound to specific namespaces, and created automatically by the API server or
manually through API calls. Service accounts are tied to a set of credentials
stored as Secrets, which are mounted into pods allowing in-cluster processes
to talk to the Kubernetes API.
API requests are tied to either a normal user or a service account, or are treated
as anonymous requests. This means every process inside or outside the cluster, from
a human user typing kubectl on a workstation, to kubelets on nodes, to members
of the control plane, must authenticate when making requests to the API server,
or be treated as an anonymous user.
Authentication strategies
Kubernetes uses client certificates, bearer tokens, an authenticating proxy, or HTTP basic auth to
authenticate API requests through authentication plugins. As HTTP requests are
made to the API server, plugins attempt to associate the following attributes
with the request:
Username: a string which identifies the end user. Common values might be kube-admin or jane@example.com.
UID: a string which identifies the end user and attempts to be more consistent and unique than username.
Groups: a set of strings, each of which indicates the user's membership in a named logical collection of users. Common values might be system:masters or devops-team.
Extra fields: a map of strings to list of strings which holds additional information authorizers may find useful.
All values are opaque to the authentication system and only hold significance
when interpreted by an authorizer.
You can enable multiple authentication methods at once. You should usually use at least two methods:
service account tokens for service accounts
at least one other method for user authentication.
When multiple authenticator modules are enabled, the first module
to successfully authenticate the request short-circuits evaluation.
The API server does not guarantee the order authenticators run in.
The system:authenticated group is included in the list of groups for all authenticated users.
Integrations with other authentication protocols (LDAP, SAML, Kerberos, alternate x509 schemes, etc)
can be accomplished using an authenticating proxy or the
authentication webhook.
X509 Client Certs
Client certificate authentication is enabled by passing the --client-ca-file=SOMEFILE
option to API server. The referenced file must contain one or more certificate authorities
to use to validate client certificates presented to the API server. If a client certificate
is presented and verified, the common name of the subject is used as the user name for the
request. As of Kubernetes 1.4, client certificates can also indicate a user's group memberships
using the certificate's organization fields. To include multiple group memberships for a user,
include multiple organization fields in the certificate.
For example, using the openssl command line tool to generate a certificate signing request:
The API server reads bearer tokens from a file when given the --token-auth-file=SOMEFILE option on the command line. Currently, tokens last indefinitely, and the token list cannot be
changed without restarting API server.
The token file is a csv file with a minimum of 3 columns: token, user name, user uid,
followed by optional group names.
Note:
If you have more than one group the column must be double quoted e.g.
token,user,uid,"group1,group2,group3"
Putting a Bearer Token in a Request
When using bearer token authentication from an http client, the API
server expects an Authorization header with a value of Bearer THETOKEN. The bearer token must be a character sequence that can be
put in an HTTP header value using no more than the encoding and
quoting facilities of HTTP. For example: if the bearer token is
31ada4fd-adec-460c-809a-9e56ceb75269 then it would appear in an HTTP
header as shown below.
To allow for streamlined bootstrapping for new clusters, Kubernetes includes a
dynamically-managed Bearer token type called a Bootstrap Token. These tokens
are stored as Secrets in the kube-system namespace, where they can be
dynamically managed and created. Controller Manager contains a TokenCleaner
controller that deletes bootstrap tokens as they expire.
The tokens are of the form [a-z0-9]{6}.[a-z0-9]{16}. The first component is a
Token ID and the second component is the Token Secret. You specify the token
in an HTTP header as follows:
Authorization: Bearer 781292.db7bc3a58fc5f07e
You must enable the Bootstrap Token Authenticator with the
--enable-bootstrap-token-auth flag on the API Server. You must enable
the TokenCleaner controller via the --controllers flag on the Controller
Manager. This is done with something like --controllers=*,tokencleaner.
kubeadm will do this for you if you are using it to bootstrap a cluster.
The authenticator authenticates as system:bootstrap:<Token ID>. It is
included in the system:bootstrappers group. The naming and groups are
intentionally limited to discourage users from using these tokens past
bootstrapping. The user names and group can be used (and are used by kubeadm)
to craft the appropriate authorization policies to support bootstrapping a
cluster.
Please see Bootstrap Tokens for in depth
documentation on the Bootstrap Token authenticator and controllers along with
how to manage these tokens with kubeadm.
Service Account Tokens
A service account is an automatically enabled authenticator that uses signed
bearer tokens to verify requests. The plugin takes two optional flags:
--service-account-key-file A file containing a PEM encoded key for signing bearer tokens.
If unspecified, the API server's TLS private key will be used.
--service-account-lookup If enabled, tokens which are deleted from the API will be revoked.
Service accounts are usually created automatically by the API server and
associated with pods running in the cluster through the ServiceAccountAdmission Controller. Bearer tokens are
mounted into pods at well-known locations, and allow in-cluster processes to
talk to the API server. Accounts may be explicitly associated with pods using the
serviceAccountName field of a PodSpec.
Note:serviceAccountName is usually omitted because this is done automatically.
apiVersion:apps/v1# this apiVersion is relevant as of Kubernetes 1.9kind:Deploymentmetadata:name:nginx-deploymentnamespace:defaultspec:replicas:3template:metadata:# ...spec:serviceAccountName:bob-the-botcontainers:- name:nginximage:nginx:1.14.2
Service account bearer tokens are perfectly valid to use outside the cluster and
can be used to create identities for long standing jobs that wish to talk to the
Kubernetes API. To manually create a service account, simply use the kubectl
create serviceaccount (NAME)` command. This creates a service account in the
current namespace and an associated secret.
The created secret holds the public CA of the API server and a signed JSON Web
Token (JWT).
kubectl get secret jenkins-token-1yvwg -o yaml
apiVersion:v1data:ca.crt:(APISERVER'S CA BASE64 ENCODED)namespace:ZGVmYXVsdA==token:(BEARER TOKEN BASE64 ENCODED)kind:Secretmetadata:# ...type:kubernetes.io/service-account-token
Note: Values are base64 encoded because secrets are always base64 encoded.
The signed JWT can be used as a bearer token to authenticate as the given service
account. See above for how the token is included
in a request. Normally these secrets are mounted into pods for in-cluster access to
the API server, but can be used from outside the cluster as well.
Service accounts authenticate with the username system:serviceaccount:(NAMESPACE):(SERVICEACCOUNT),
and are assigned to the groups system:serviceaccounts and system:serviceaccounts:(NAMESPACE).
WARNING: Because service account tokens are stored in secrets, any user with
read access to those secrets can authenticate as the service account. Be cautious
when granting permissions to service accounts and read capabilities for secrets.
OpenID Connect Tokens
OpenID Connect is a flavor of OAuth2 supported by
some OAuth2 providers, notably Azure Active Directory, Salesforce, and Google.
The protocol's main extension of OAuth2 is an additional field returned with
the access token called an ID Token.
This token is a JSON Web Token (JWT) with well known fields, such as a user's
email, signed by the server.
To identify the user, the authenticator uses the id_token (not the access_token)
from the OAuth2 token response
as a bearer token. See above for how the token
is included in a request.
sequenceDiagram
participant user as User
participant idp as Identity Provider
participant kube as Kubectl
participant api as API Server
user ->> idp: 1. Login to IdP
activate idp
idp -->> user: 2. Provide access_token, id_token, and refresh_token
deactivate idp
activate user
user ->> kube: 3. Call Kubectl with --token being the id_token OR add tokens to .kube/config
deactivate user
activate kube
kube ->> api: 4. Authorization: Bearer...
deactivate kube
activate api
api ->> api: 5. Is JWT signature valid?
api ->> api: 6. Has the JWT expired? (iat+exp)
api ->> api: 7. User authorized?
api -->> kube: 8. Authorized: Perform action and return result
deactivate api
activate kube
kube --x user: 9. Return result
deactivate kube
Login to your identity provider
Your identity provider will provide you with an access_token, id_token and a refresh_token
When using kubectl, use your id_token with the --token flag or add it directly to your kubeconfig
kubectl sends your id_token in a header called Authorization to the API server
The API server will make sure the JWT signature is valid by checking against the certificate named in the configuration
Check to make sure the id_token hasn't expired
Make sure the user is authorized
Once authorized the API server returns a response to kubectl
kubectl provides feedback to the user
Since all of the data needed to validate who you are is in the id_token, Kubernetes doesn't need to
"phone home" to the identity provider. In a model where every request is stateless this provides a very scalable solution for authentication. It does offer a few challenges:
Kubernetes has no "web interface" to trigger the authentication process. There is no browser or interface to collect credentials which is why you need to authenticate to your identity provider first.
The id_token can't be revoked, it's like a certificate so it should be short-lived (only a few minutes) so it can be very annoying to have to get a new token every few minutes.
To authenticate to the Kubernetes dashboard, you must use the kubectl proxy command or a reverse proxy that injects the id_token.
Configuring the API Server
To enable the plugin, configure the following flags on the API server:
Parameter
Description
Example
Required
--oidc-issuer-url
URL of the provider which allows the API server to discover public signing keys. Only URLs which use the https:// scheme are accepted. This is typically the provider's discovery URL without a path, for example "https://accounts.google.com" or "https://login.salesforce.com". This URL should point to the level below .well-known/openid-configuration
If the discovery URL is https://accounts.google.com/.well-known/openid-configuration, the value should be https://accounts.google.com
Yes
--oidc-client-id
A client id that all tokens must be issued for.
kubernetes
Yes
--oidc-username-claim
JWT claim to use as the user name. By default sub, which is expected to be a unique identifier of the end user. Admins can choose other claims, such as email or name, depending on their provider. However, claims other than email will be prefixed with the issuer URL to prevent naming clashes with other plugins.
sub
No
--oidc-username-prefix
Prefix prepended to username claims to prevent clashes with existing names (such as system: users). For example, the value oidc: will create usernames like oidc:jane.doe. If this flag isn't provided and --oidc-username-claim is a value other than email the prefix defaults to ( Issuer URL )# where ( Issuer URL ) is the value of --oidc-issuer-url. The value - can be used to disable all prefixing.
oidc:
No
--oidc-groups-claim
JWT claim to use as the user's group. If the claim is present it must be an array of strings.
groups
No
--oidc-groups-prefix
Prefix prepended to group claims to prevent clashes with existing names (such as system: groups). For example, the value oidc: will create group names like oidc:engineering and oidc:infra.
oidc:
No
--oidc-required-claim
A key=value pair that describes a required claim in the ID Token. If set, the claim is verified to be present in the ID Token with a matching value. Repeat this flag to specify multiple claims.
claim=value
No
--oidc-ca-file
The path to the certificate for the CA that signed your identity provider's web certificate. Defaults to the host's root CAs.
/etc/kubernetes/ssl/kc-ca.pem
No
Importantly, the API server is not an OAuth2 client, rather it can only be
configured to trust a single issuer. This allows the use of public providers,
such as Google, without trusting credentials issued to third parties. Admins who
wish to utilize multiple OAuth clients should explore providers which support the
azp (authorized party) claim, a mechanism for allowing one client to issue
tokens on behalf of another.
Kubernetes does not provide an OpenID Connect Identity Provider.
You can use an existing public OpenID Connect Identity Provider (such as Google, or
others).
Or, you can run your own Identity Provider, such as dex,
Keycloak,
CloudFoundry UAA, or
Tremolo Security's OpenUnison.
For an identity provider to work with Kubernetes it must:
Have a CA signed certificate (even if the CA is not a commercial CA or is self signed)
A note about requirement #3 above, requiring a CA signed certificate. If you deploy your own identity provider (as opposed to one of the cloud providers like Google or Microsoft) you MUST have your identity provider's web server certificate signed by a certificate with the CA flag set to TRUE, even if it is self signed. This is due to GoLang's TLS client implementation being very strict to the standards around certificate validation. If you don't have a CA handy, you can use this script from the Dex team to create a simple CA and a signed certificate and key pair.
Or you can use this similar script that generates SHA256 certs with a longer life and larger key size.
The first option is to use the kubectl oidc authenticator, which sets the id_token as a bearer token for all requests and refreshes the token once it expires. After you've logged into your provider, use kubectl to add your id_token, refresh_token, client_id, and client_secret to configure the plugin.
Providers that don't return an id_token as part of their refresh token response aren't supported by this plugin and should use "Option 2" below.
kubectl config set-credentials USER_NAME \
--auth-provider=oidc \
--auth-provider-arg=idp-issuer-url=( issuer url )\
--auth-provider-arg=client-id=( your client id )\
--auth-provider-arg=client-secret=( your client secret )\
--auth-provider-arg=refresh-token=( your refresh token )\
--auth-provider-arg=idp-certificate-authority=( path to your ca certificate )\
--auth-provider-arg=id-token=( your id_token )
As an example, running the below command after authenticating to your identity provider:
Once your id_token expires, kubectl will attempt to refresh your id_token using your refresh_token and client_secret storing the new values for the refresh_token and id_token in your .kube/config.
Option 2 - Use the --token Option
The kubectl command lets you pass in a token using the --token option. Copy and paste the id_token into this option:
kubectl --token=eyJhbGciOiJSUzI1NiJ9.eyJpc3MiOiJodHRwczovL21sYi50cmVtb2xvLmxhbjo4MDQzL2F1dGgvaWRwL29pZGMiLCJhdWQiOiJrdWJlcm5ldGVzIiwiZXhwIjoxNDc0NTk2NjY5LCJqdGkiOiI2RDUzNXoxUEpFNjJOR3QxaWVyYm9RIiwiaWF0IjoxNDc0NTk2MzY5LCJuYmYiOjE0NzQ1OTYyNDksInN1YiI6Im13aW5kdSIsInVzZXJfcm9sZSI6WyJ1c2VycyIsIm5ldy1uYW1lc3BhY2Utdmlld2VyIl0sImVtYWlsIjoibXdpbmR1QG5vbW9yZWplZGkuY29tIn0.f2As579n9VNoaKzoF-dOQGmXkFKf1FMyNV0-va_B63jn-_n9LGSCca_6IVMP8pO-Zb4KvRqGyTP0r3HkHxYy5c81AnIh8ijarruczl-TK_yF5akjSTHFZD-0gRzlevBDiH8Q79NAr-ky0P4iIXS8lY9Vnjch5MF74Zx0c3alKJHJUnnpjIACByfF2SCaYzbWFMUNat-K1PaUk5-ujMBG7yYnr95xD-63n8CO8teGUAAEMx6zRjzfhnhbzX-ajwZLGwGUBT4WqjMs70-6a7_8gZmLZb2az1cZynkFRj2BaCkVT3A2RrjeEwZEtGXlMqKJ1_I2ulrOVsYx01_yD35-rw get nodes
Webhook Token Authentication
Webhook authentication is a hook for verifying bearer tokens.
--authentication-token-webhook-config-file a configuration file describing how to access the remote webhook service.
--authentication-token-webhook-cache-ttl how long to cache authentication decisions. Defaults to two minutes.
--authentication-token-webhook-version determines whether to use authentication.k8s.io/v1beta1 or authentication.k8s.io/v1TokenReview objects to send/receive information from the webhook. Defaults to v1beta1.
The configuration file uses the kubeconfig
file format. Within the file, clusters refers to the remote service and
users refers to the API server webhook. An example would be:
# Kubernetes API versionapiVersion:v1# kind of the API objectkind:Config# clusters refers to the remote service.clusters:- name:name-of-remote-authn-servicecluster:certificate-authority:/path/to/ca.pem # CA for verifying the remote service.server:https://authn.example.com/authenticate# URL of remote service to query. 'https' recommended for production.# users refers to the API server's webhook configuration.users:- name:name-of-api-serveruser:client-certificate:/path/to/cert.pem# cert for the webhook plugin to useclient-key:/path/to/key.pem # key matching the cert# kubeconfig files require a context. Provide one for the API server.current-context:webhookcontexts:- context:cluster:name-of-remote-authn-serviceuser:name-of-api-servername:webhook
When a client attempts to authenticate with the API server using a bearer token as discussed above,
the authentication webhook POSTs a JSON-serialized TokenReview object containing the token to the remote service.
Note that webhook API objects are subject to the same versioning compatibility rules as other Kubernetes API objects.
Implementers should check the apiVersion field of the request to ensure correct deserialization,
and must respond with a TokenReview object of the same version as the request.
Note: The Kubernetes API server defaults to sending authentication.k8s.io/v1beta1 token reviews for backwards compatibility.
To opt into receiving authentication.k8s.io/v1 token reviews, the API server must be started with --authentication-token-webhook-version=v1.
{"apiVersion": "authentication.k8s.io/v1","kind": "TokenReview","spec": {# Opaque bearer token sent to the API server"token": "014fbff9a07c...",# Optional list of the audience identifiers for the server the token was presented to.# Audience-aware token authenticators (for example, OIDC token authenticators) # should verify the token was intended for at least one of the audiences in this list,# and return the intersection of this list and the valid audiences for the token in the response status.# This ensures the token is valid to authenticate to the server it was presented to.# If no audiences are provided, the token should be validated to authenticate to the Kubernetes API server."audiences": ["https://myserver.example.com","https://myserver.internal.example.com"]}}
{"apiVersion": "authentication.k8s.io/v1beta1","kind": "TokenReview","spec": {# Opaque bearer token sent to the API server"token": "014fbff9a07c...",# Optional list of the audience identifiers for the server the token was presented to.# Audience-aware token authenticators (for example, OIDC token authenticators) # should verify the token was intended for at least one of the audiences in this list,# and return the intersection of this list and the valid audiences for the token in the response status.# This ensures the token is valid to authenticate to the server it was presented to.# If no audiences are provided, the token should be validated to authenticate to the Kubernetes API server."audiences": ["https://myserver.example.com","https://myserver.internal.example.com"]}}
The remote service is expected to fill the status field of the request to indicate the success of the login.
The response body's spec field is ignored and may be omitted.
The remote service must return a response using the same TokenReview API version that it received.
A successful validation of the bearer token would return:
{"apiVersion": "authentication.k8s.io/v1","kind": "TokenReview","status": {"authenticated": true,"user": {# Required"username": "janedoe@example.com",# Optional"uid": "42",# Optional group memberships"groups": ["developers","qa"],# Optional additional information provided by the authenticator.# This should not contain confidential data, as it can be recorded in logs# or API objects, and is made available to admission webhooks."extra": {"extrafield1": ["extravalue1","extravalue2"]}},# Optional list audience-aware token authenticators can return,# containing the audiences from the `spec.audiences` list for which the provided token was valid.# If this is omitted, the token is considered to be valid to authenticate to the Kubernetes API server."audiences": ["https://myserver.example.com"]}}
{"apiVersion": "authentication.k8s.io/v1beta1","kind": "TokenReview","status": {"authenticated": true,"user": {# Required"username": "janedoe@example.com",# Optional"uid": "42",# Optional group memberships"groups": ["developers","qa"],# Optional additional information provided by the authenticator.# This should not contain confidential data, as it can be recorded in logs# or API objects, and is made available to admission webhooks."extra": {"extrafield1": ["extravalue1","extravalue2"]}},# Optional list audience-aware token authenticators can return,# containing the audiences from the `spec.audiences` list for which the provided token was valid.# If this is omitted, the token is considered to be valid to authenticate to the Kubernetes API server."audiences": ["https://myserver.example.com"]}}
{"apiVersion": "authentication.k8s.io/v1","kind": "TokenReview","status": {"authenticated": false,# Optionally include details about why authentication failed.# If no error is provided, the API will return a generic Unauthorized message.# The error field is ignored when authenticated=true."error": "Credentials are expired"}}
{"apiVersion": "authentication.k8s.io/v1beta1","kind": "TokenReview","status": {"authenticated": false,# Optionally include details about why authentication failed.# If no error is provided, the API will return a generic Unauthorized message.# The error field is ignored when authenticated=true."error": "Credentials are expired"}}
Authenticating Proxy
The API server can be configured to identify users from request header values, such as X-Remote-User.
It is designed for use in combination with an authenticating proxy, which sets the request header value.
--requestheader-username-headers Required, case-insensitive. Header names to check, in order, for the user identity. The first header containing a value is used as the username.
--requestheader-group-headers 1.6+. Optional, case-insensitive. "X-Remote-Group" is suggested. Header names to check, in order, for the user's groups. All values in all specified headers are used as group names.
--requestheader-extra-headers-prefix 1.6+. Optional, case-insensitive. "X-Remote-Extra-" is suggested. Header prefixes to look for to determine extra information about the user (typically used by the configured authorization plugin). Any headers beginning with any of the specified prefixes have the prefix removed. The remainder of the header name is lowercased and percent-decoded and becomes the extra key, and the header value is the extra value.
Note: Prior to 1.11.3 (and 1.10.7, 1.9.11), the extra key could only contain characters which were legal in HTTP header labels.
In order to prevent header spoofing, the authenticating proxy is required to present a valid client
certificate to the API server for validation against the specified CA before the request headers are
checked. WARNING: do not reuse a CA that is used in a different context unless you understand
the risks and the mechanisms to protect the CA's usage.
--requestheader-client-ca-file Required. PEM-encoded certificate bundle. A valid client certificate must be presented and validated against the certificate authorities in the specified file before the request headers are checked for user names.
--requestheader-allowed-names Optional. List of Common Name values (CNs). If set, a valid client certificate with a CN in the specified list must be presented before the request headers are checked for user names. If empty, any CN is allowed.
Anonymous requests
When enabled, requests that are not rejected by other configured authentication methods are
treated as anonymous requests, and given a username of system:anonymous and a group of
system:unauthenticated.
For example, on a server with token authentication configured, and anonymous access enabled,
a request providing an invalid bearer token would receive a 401 Unauthorized error.
A request providing no bearer token would be treated as an anonymous request.
In 1.5.1-1.5.x, anonymous access is disabled by default, and can be enabled by
passing the --anonymous-auth=true option to the API server.
In 1.6+, anonymous access is enabled by default if an authorization mode other than AlwaysAllow
is used, and can be disabled by passing the --anonymous-auth=false option to the API server.
Starting in 1.6, the ABAC and RBAC authorizers require explicit authorization of the
system:anonymous user or the system:unauthenticated group, so legacy policy rules
that grant access to the * user or * group do not include anonymous users.
User impersonation
A user can act as another user through impersonation headers. These let requests
manually override the user info a request authenticates as. For example, an admin
could use this feature to debug an authorization policy by temporarily
impersonating another user and seeing if a request was denied.
Impersonation requests first authenticate as the requesting user, then switch
to the impersonated user info.
A user makes an API call with their credentials and impersonation headers.
API server authenticates the user.
API server ensures the authenticated users have impersonation privileges.
Request user info is replaced with impersonation values.
Request is evaluated, authorization acts on impersonated user info.
The following HTTP headers can be used to performing an impersonation request:
Impersonate-User: The username to act as.
Impersonate-Group: A group name to act as. Can be provided multiple times to set multiple groups. Optional. Requires "Impersonate-User".
Impersonate-Extra-( extra name ): A dynamic header used to associate extra fields with the user. Optional. Requires "Impersonate-User". In order to be preserved consistently, ( extra name ) should be lower-case, and any characters which aren't legal in HTTP header labels MUST be utf8 and percent-encoded.
Note: Prior to 1.11.3 (and 1.10.7, 1.9.11), ( extra name ) could only contain characters which were legal in HTTP header labels.
To impersonate a user, group, or set extra fields, the impersonating user must
have the ability to perform the "impersonate" verb on the kind of attribute
being impersonated ("user", "group", etc.). For clusters that enable the RBAC
authorization plugin, the following ClusterRole encompasses the rules needed to
set user and group impersonation headers:
Extra fields are evaluated as sub-resources of the resource "userextras". To
allow a user to use impersonation headers for the extra field "scopes", a user
should be granted the following role:
apiVersion:rbac.authorization.k8s.io/v1kind:ClusterRolemetadata:name:scopes-impersonatorrules:# Can set "Impersonate-Extra-scopes" header.- apiGroups:["authentication.k8s.io"]resources:["userextras/scopes"]verbs:["impersonate"]
The values of impersonation headers can also be restricted by limiting the set
of resourceNames a resource can take.
apiVersion:rbac.authorization.k8s.io/v1kind:ClusterRolemetadata:name:limited-impersonatorrules:# Can impersonate the user "jane.doe@example.com"- apiGroups:[""]resources:["users"]verbs:["impersonate"]resourceNames:["jane.doe@example.com"]# Can impersonate the groups "developers" and "admins"- apiGroups:[""]resources:["groups"]verbs:["impersonate"]resourceNames:["developers","admins"]# Can impersonate the extras field "scopes" with the values "view" and "development"- apiGroups:["authentication.k8s.io"]resources:["userextras/scopes"]verbs:["impersonate"]resourceNames:["view","development"]
client-go credential plugins
FEATURE STATE:Kubernetes v1.11 [beta]
k8s.io/client-go and tools using it such as kubectl and kubelet are able to execute an
external command to receive user credentials.
This feature is intended for client side integrations with authentication protocols not natively
supported by k8s.io/client-go (LDAP, Kerberos, OAuth2, SAML, etc.). The plugin implements the
protocol specific logic, then returns opaque credentials to use. Almost all credential plugin
use cases require a server side component with support for the webhook token authenticator
to interpret the credential format produced by the client plugin.
Example use case
In a hypothetical use case, an organization would run an external service that exchanges LDAP credentials
for user specific, signed tokens. The service would also be capable of responding to webhook token
authenticator requests to validate the tokens. Users would be required
to install a credential plugin on their workstation.
To authenticate against the API:
The user issues a kubectl command.
Credential plugin prompts the user for LDAP credentials, exchanges credentials with external service for a token.
Credential plugin returns token to client-go, which uses it as a bearer token against the API server.
External service verifies the signature on the token and returns the user's username and groups.
Configuration
Credential plugins are configured through kubectl config files
as part of the user fields.
apiVersion:v1kind:Configusers:- name:my-useruser:exec:# Command to execute. Required.command:"example-client-go-exec-plugin"# API version to use when decoding the ExecCredentials resource. Required.## The API version returned by the plugin MUST match the version listed here.## To integrate with tools that support multiple versions (such as client.authentication.k8s.io/v1alpha1),# set an environment variable or pass an argument to the tool that indicates which version the exec plugin expects.apiVersion:"client.authentication.k8s.io/v1beta1"# Environment variables to set when executing the plugin. Optional.env:- name:"FOO"value:"bar"# Arguments to pass when executing the plugin. Optional.args:- "arg1"- "arg2"# Text shown to the user when the executable doesn't seem to be present. Optional.installHint:| example-client-go-exec-plugin is required to authenticate
to the current cluster. It can be installed:
On macOS: brew install example-client-go-exec-plugin
On Ubuntu: apt-get install example-client-go-exec-plugin
On Fedora: dnf install example-client-go-exec-plugin
...# Whether or not to provide cluster information, which could potentially contain# very large CA data, to this exec plugin as a part of the KUBERNETES_EXEC_INFO# environment variable.provideClusterInfo:trueclusters:- name:my-clustercluster:server:"https://172.17.4.100:6443"certificate-authority:"/etc/kubernetes/ca.pem"extensions:- name:client.authentication.k8s.io/exec# reserved extension name for per cluster exec configextension:arbitrary:configthis:can be provided via the KUBERNETES_EXEC_INFO environment variable upon setting provideClusterInfoyou:["can","put","anything","here"]contexts:- name:my-clustercontext:cluster:my-clusteruser:my-usercurrent-context:my-cluster
Relative command paths are interpreted as relative to the directory of the config file. If
KUBECONFIG is set to /home/jane/kubeconfig and the exec command is ./bin/example-client-go-exec-plugin,
the binary /home/jane/bin/example-client-go-exec-plugin is executed.
- name:my-useruser:exec:# Path relative to the directory of the kubeconfigcommand:"./bin/example-client-go-exec-plugin"apiVersion:"client.authentication.k8s.io/v1beta1"
Input and output formats
The executed command prints an ExecCredential object to stdout. k8s.io/client-go
authenticates against the Kubernetes API using the returned credentials in the status.
When run from an interactive session, stdin is exposed directly to the plugin. Plugins should use a
TTY check to determine if it's
appropriate to prompt a user interactively.
To use bearer token credentials, the plugin returns a token in the status of the
ExecCredential
Alternatively, a PEM-encoded client certificate and key can be returned to use TLS client auth.
If the plugin returns a different certificate and key on a subsequent call, k8s.io/client-go
will close existing connections with the server to force a new TLS handshake.
If specified, clientKeyData and clientCertificateData must both must be present.
clientCertificateData may contain additional intermediate certificates to send to the server.
Optionally, the response can include the expiry of the credential formatted as a
RFC3339 timestamp. Presence or absence of an expiry has the following impact:
If an expiry is included, the bearer token and TLS credentials are cached until
the expiry time is reached, or if the server responds with a 401 HTTP status code,
or when the process exits.
If an expiry is omitted, the bearer token and TLS credentials are cached until
the server responds with a 401 HTTP status code or until the process exits.
To enable the exec plugin to obtain cluster-specific information, set provideClusterInfo on the user.exec
field in the kubeconfig.
The plugin will then be supplied with an environment variable, KUBERNETES_EXEC_INFO.
Information from this environment variable can be used to perform cluster-specific
credential acquisition logic.
The following ExecCredential manifest describes a cluster information sample.
{
"apiVersion": "client.authentication.k8s.io/v1beta1",
"kind": "ExecCredential",
"spec": {
"cluster": {
"server": "https://172.17.4.100:6443",
"certificate-authority-data": "LS0t...",
"config": {
"arbitrary": "config",
"this": "can be provided via the KUBERNETES_EXEC_INFO environment variable upon setting provideClusterInfo",
"you": ["can", "put", "anything", "here"]
}
}
}
}
Bootstrap tokens are a simple bearer token that is meant to be used when
creating new clusters or joining new nodes to an existing cluster. It was built
to support kubeadm, but can be used in other contexts
for users that wish to start clusters without kubeadm. It is also built to
work, via RBAC policy, with the
Kubelet TLS Bootstrapping system.
Bootstrap Tokens Overview
Bootstrap Tokens are defined with a specific type
(bootstrap.kubernetes.io/token) of secrets that lives in the kube-system
namespace. These Secrets are then read by the Bootstrap Authenticator in the
API Server. Expired tokens are removed with the TokenCleaner controller in the
Controller Manager. The tokens are also used to create a signature for a
specific ConfigMap used in a "discovery" process through a BootstrapSigner
controller.
Token Format
Bootstrap Tokens take the form of abcdef.0123456789abcdef. More formally,
they must match the regular expression [a-z0-9]{6}\.[a-z0-9]{16}.
The first part of the token is the "Token ID" and is considered public
information. It is used when referring to a token without leaking the secret
part used for authentication. The second part is the "Token Secret" and should
only be shared with trusted parties.
Enabling Bootstrap Token Authentication
The Bootstrap Token authenticator can be enabled using the following flag on the
API server:
--enable-bootstrap-token-auth
When enabled, bootstrapping tokens can be used as bearer token credentials to
authenticate requests against the API server.
Authorization: Bearer 07401b.f395accd246ae52d
Tokens authenticate as the username system:bootstrap:<token id> and are members
of the group system:bootstrappers. Additional groups may be specified in the
token's Secret.
Expired tokens can be deleted automatically by enabling the tokencleaner
controller on the controller manager.
--controllers=*,tokencleaner
Bootstrap Token Secret Format
Each valid token is backed by a secret in the kube-system namespace. You can
find the full design doc
here.
Here is what the secret looks like.
apiVersion:v1kind:Secretmetadata:# Name MUST be of form "bootstrap-token-<token id>"name:bootstrap-token-07401bnamespace:kube-system# Type MUST be 'bootstrap.kubernetes.io/token'type:bootstrap.kubernetes.io/tokenstringData:# Human readable description. Optional.description:"The default bootstrap token generated by 'kubeadm init'."# Token ID and secret. Required.token-id:07401btoken-secret:f395accd246ae52d# Expiration. Optional.expiration:2017-03-10T03:22:11Z# Allowed usages.usage-bootstrap-authentication:"true"usage-bootstrap-signing:"true"# Extra groups to authenticate the token as. Must start with "system:bootstrappers:"auth-extra-groups:system:bootstrappers:worker,system:bootstrappers:ingress
The type of the secret must be bootstrap.kubernetes.io/token and the name must
be bootstrap-token-<token id>. It must also exist in the kube-system
namespace.
The usage-bootstrap-* members indicate what this secret is intended to be used
for. A value must be set to true to be enabled.
usage-bootstrap-authentication indicates that the token can be used to
authenticate to the API server as a bearer token.
usage-bootstrap-signing indicates that the token may be used to sign the
cluster-info ConfigMap as described below.
The expiration field controls the expiry of the token. Expired tokens are
rejected when used for authentication and ignored during ConfigMap signing.
The expiry value is encoded as an absolute UTC time using RFC3339. Enable the
tokencleaner controller to automatically delete expired tokens.
Token Management with kubeadm
You can use the kubeadm tool to manage tokens on a running cluster. See the
kubeadm token docs for details.
ConfigMap Signing
In addition to authentication, the tokens can be used to sign a ConfigMap. This
is used early in a cluster bootstrap process before the client trusts the API
server. The signed ConfigMap can be authenticated by the shared token.
Enable ConfigMap signing by enabling the bootstrapsigner controller on the
Controller Manager.
--controllers=*,bootstrapsigner
The ConfigMap that is signed is cluster-info in the kube-public namespace.
The typical flow is that a client reads this ConfigMap while unauthenticated and
ignoring TLS errors. It then validates the payload of the ConfigMap by looking
at a signature embedded in the ConfigMap.
The kubeconfig member of the ConfigMap is a config file with only the cluster
information filled out. The key thing being communicated here is the
certificate-authority-data. This may be expanded in the future.
The signature is a JWS signature using the "detached" mode. To validate the
signature, the user should encode the kubeconfig payload according to JWS
rules (base64 encoded while discarding any trailing =). That encoded payload
is then used to form a whole JWS by inserting it between the 2 dots. You can
verify the JWS using the HS256 scheme (HMAC-SHA256) with the full token (e.g.
07401b.f395accd246ae52d) as the shared secret. Users must verify that HS256
is used.
Warning: Any party with a bootstrapping token can create a valid signature for that
token. When using ConfigMap signing it's discouraged to share the same token with
many clients, since a compromised client can potentially man-in-the middle another
client relying on the signature to bootstrap TLS trust.
The Certificates API enables automation of
X.509 credential provisioning by providing
a programmatic interface for clients of the Kubernetes API to request and obtain
X.509 certificates from a Certificate Authority (CA).
A CertificateSigningRequest (CSR) resource is used to request that a certificate be signed
by a denoted signer, after which the request may be approved or denied before
finally being signed.
Request signing process
The CertificateSigningRequest resource type allows a client to ask for an X.509 certificate
be issued, based on a signing request.
The CertificateSigningRequest object includes a PEM-encoded PKCS#10 signing request in
the spec.request field. The CertificateSigningRequest denotes the signer (the
recipient that the request is being made to) using the spec.signerName field.
Note that spec.signerName is a required key after API version certificates.k8s.io/v1.
Once created, a CertificateSigningRequest must be approved before it can be signed.
Depending on the signer selected, a CertificateSigningRequest may be automatically approved
by a controller.
Otherwise, a CertificateSigningRequest must be manually approved either via the REST API (or client-go)
or by running kubectl certificate approve. Likewise, a CertificateSigningRequest may also be denied,
which tells the configured signer that it must not sign the request.
For certificates that have been approved, the next step is signing. The relevant signing controller
first validates that the signing conditions are met and then creates a certificate.
The signing controller then updates the CertificateSigningRequest, storing the new certificate into
the status.certificate field of the existing CertificateSigningRequest object. The
status.certificate field is either empty or contains a X.509 certificate, encoded in PEM format.
The CertificateSigningRequest status.certificate field is empty until the signer does this.
Once the status.certificate field has been populated, the request has been completed and clients can now
fetch the signed certificate PEM data from the CertificateSigningRequest resource.
The signers can instead deny certificate signing if the approval conditions are not met.
In order to reduce the number of old CertificateSigningRequest resources left in a cluster, a garbage collection
controller runs periodically. The garbage collection removes CertificateSigningRequests that have not changed
state for some duration:
Approved requests: automatically deleted after 1 hour
Denied requests: automatically deleted after 1 hour
Pending requests: automatically deleted after 1 hour
Signers
All signers should provide information about how they work so that clients can predict what will happen to their CSRs.
This includes:
Trust distribution: how trust (CA bundles) are distributed.
Permitted subjects: any restrictions on and behavior when a disallowed subject is requested.
Permitted x509 extensions: including IP subjectAltNames, DNS subjectAltNames, Email subjectAltNames, URI subjectAltNames etc, and behavior when a disallowed extension is requested.
Permitted key usages / extended key usages: any restrictions on and behavior when usages different than the signer-determined usages are specified in the CSR.
Expiration/certificate lifetime: whether it is fixed by the signer, configurable by the admin, determined by the CSR object etc
and the behavior when an expiration is different than the signer-determined expiration that is specified in the CSR.
CA bit allowed/disallowed: and behavior if a CSR contains a request a for a CA certificate when the signer does not permit it.
Commonly, the status.certificate field contains a single PEM-encoded X.509
certificate once the CSR is approved and the certificate is issued. Some
signers store multiple certificates into the status.certificate field. In
that case, the documentation for the signer should specify the meaning of
additional certificates; for example, this might be the certificate plus
intermediates to be presented during TLS handshakes.
The PKCS#10 signing request format doesn't allow to specify a certificate
expiration or lifetime. The expiration or lifetime therefore has to be set
through e.g. an annotation on the CSR object. While it's theoretically
possible for a signer to use that expiration date, there is currently no
known implementation that does. (The built-in signers all use the same
ClusterSigningDuration configuration option, which defaults to 1 year,
and can be changed with the --cluster-signing-duration command-line
flag of the kube-controller-manager.)
Kubernetes signers
Kubernetes provides built-in signers that each have a well-known signerName:
kubernetes.io/kube-apiserver-client: signs certificates that will be honored as client certificates by the API server.
Never auto-approved by kube-controller-manager.
Trust distribution: signed certificates must be honored as client certificates by the API server. The CA bundle is not distributed by any other means.
Permitted subjects - no subject restrictions, but approvers and signers may choose not to approve or sign.
Certain subjects like cluster-admin level users or groups vary between distributions and installations,
but deserve additional scrutiny before approval and signing.
The CertificateSubjectRestriction admission plugin is enabled by default to restrict system:masters,
but it is often not the only cluster-admin subject in a cluster.
Permitted x509 extensions - honors subjectAltName and key usage extensions and discards other extensions.
Permitted key usages - must include ["client auth"]. Must not include key usages beyond ["digital signature", "key encipherment", "client auth"].
Expiration/certificate lifetime - set by the --cluster-signing-duration option for the
kube-controller-manager implementation of this signer.
CA bit allowed/disallowed - not allowed.
kubernetes.io/kube-apiserver-client-kubelet: signs client certificates that will be honored as client certificates by the
API server.
May be auto-approved by kube-controller-manager.
Trust distribution: signed certificates must be honored as client certificates by the API server. The CA bundle
is not distributed by any other means.
Permitted subjects - organizations are exactly ["system:nodes"], common name starts with "system:node:".
Permitted x509 extensions - honors key usage extensions, forbids subjectAltName extensions and drops other extensions.
Expiration/certificate lifetime - set by the --cluster-signing-duration option for the
kube-controller-manager implementation of this signer.
CA bit allowed/disallowed - not allowed.
kubernetes.io/kubelet-serving: signs serving certificates that are honored as a valid kubelet serving certificate
by the API server, but has no other guarantees.
Never auto-approved by kube-controller-manager.
Trust distribution: signed certificates must be honored by the API server as valid to terminate connections to a kubelet.
The CA bundle is not distributed by any other means.
Permitted subjects - organizations are exactly ["system:nodes"], common name starts with "system:node:".
Permitted x509 extensions - honors key usage and DNSName/IPAddress subjectAltName extensions, forbids EmailAddress and
URI subjectAltName extensions, drops other extensions. At least one DNS or IP subjectAltName must be present.
Expiration/certificate lifetime - set by the --cluster-signing-duration option for the
kube-controller-manager implementation of this signer.
CA bit allowed/disallowed - not allowed.
kubernetes.io/legacy-unknown: has no guarantees for trust at all. Some third-party distributions of Kubernetes
may honor client certificates signed by it. The stable CertificateSigningRequest API (version certificates.k8s.io/v1 and later)
does not allow to set the signerName as kubernetes.io/legacy-unknown.
Never auto-approved by kube-controller-manager.
Trust distribution: None. There is no standard trust or distribution for this signer in a Kubernetes cluster.
Permitted subjects - any
Permitted x509 extensions - honors subjectAltName and key usage extensions and discards other extensions.
Permitted key usages - any
Expiration/certificate lifetime - set by the --cluster-signing-duration option for the
kube-controller-manager implementation of this signer.
CA bit allowed/disallowed - not allowed.
Note: Failures for all of these are only reported in kube-controller-manager logs.
Distribution of trust happens out of band for these signers. Any trust outside of those described above are strictly
coincidental. For instance, some distributions may honor kubernetes.io/legacy-unknown as client certificates for the
kube-apiserver, but this is not a standard.
None of these usages are related to ServiceAccount token secrets .data[ca.crt] in any way. That CA bundle is only
guaranteed to verify a connection to the API server using the default service (kubernetes.default.svc).
Authorization
To allow creating a CertificateSigningRequest and retrieving any CertificateSigningRequest:
apiVersion:rbac.authorization.k8s.io/v1kind:ClusterRolemetadata:name:csr-approverrules:- apiGroups:- certificates.k8s.ioresources:- certificatesigningrequestsverbs:- get- list- watch- apiGroups:- certificates.k8s.ioresources:- certificatesigningrequests/approvalverbs:- update- apiGroups:- certificates.k8s.ioresources:- signersresourceNames:- example.com/my-signer-name# example.com/* can be used to authorize for all signers in the 'example.com' domainverbs:- approve
apiVersion:rbac.authorization.k8s.io/v1kind:ClusterRolemetadata:name:csr-signerrules:- apiGroups:- certificates.k8s.ioresources:- certificatesigningrequestsverbs:- get- list- watch- apiGroups:- certificates.k8s.ioresources:- certificatesigningrequests/statusverbs:- update- apiGroups:- certificates.k8s.ioresources:- signersresourceNames:- example.com/my-signer-name# example.com/* can be used to authorize for all signers in the 'example.com' domainverbs:- sign
Normal user
A few steps are required in order to get a normal user to be able to
authenticate and invoke an API. First, this user must have certificate issued
by the Kubernetes cluster, and then present that Certificate to the API call
as the Certificate Header or through the kubectl.
Create private key
The following scripts show how to generate PKI private key and CSR. It is
important to set CN and O attribute of the CSR. CN is the name of the user and
O is the group that this user will belong to. You can refer to
RBAC for standard groups.
The kube-controller-manager ships with a built-in approver for certificates with
a signerName of kubernetes.io/kube-apiserver-client-kubelet that delegates various
permissions on CSRs for node credentials to authorization.
The kube-controller-manager POSTs SubjectAccessReview resources to the API server
in order to check authorization for certificate approval.
Approval or rejection using kubectl
A Kubernetes administrator (with appropriate permissions) can manually approve
(or deny) CertificateSigningRequests by using the kubectl certificate approve and kubectl certificate deny commands.
Users of the REST API can approve CSRs by submitting an UPDATE request to the approval
subresource of the CSR to be approved. For example, you could write an
operator that watches for a particular
kind of CSR and then sends an UPDATE to approve them.
When you make an approval or rejection request, set either the Approved or Denied
status condition based on the state you determine:
For Approved CSRs:
apiVersion:certificates.k8s.io/v1kind:CertificateSigningRequest...status:conditions:- lastUpdateTime:"2020-02-08T11:37:35Z"lastTransitionTime:"2020-02-08T11:37:35Z"message:Approved by my custom approver controllerreason:ApprovedByMyPolicy# You can set this to any stringtype:Approved
For Denied CSRs:
apiVersion:certificates.k8s.io/v1kind:CertificateSigningRequest...status:conditions:- lastUpdateTime:"2020-02-08T11:37:35Z"lastTransitionTime:"2020-02-08T11:37:35Z"message:Denied by my custom approver controllerreason:DeniedByMyPolicy# You can set this to any stringtype:Denied
It's usual to set status.conditions.reason to a machine-friendly reason
code using TitleCase; this is a convention but you can set it to anything
you like. If you want to add a note for human consumption, use the
status.conditions.message field.
Signing
Control plane signer
The Kubernetes control plane implements each of the
Kubernetes signers,
as part of the kube-controller-manager.
Note: Prior to Kubernetes v1.18, the kube-controller-manager would sign any CSRs that
were marked as approved.
API-based signers
Users of the REST API can sign CSRs by submitting an UPDATE request to the status
subresource of the CSR to be signed.
As part of this request, the status.certificate field should be set to contain the
signed certificate. This field contains one or more PEM-encoded certificates.
All PEM blocks must have the "CERTIFICATE" label, contain no headers,
and the encoded data must be a BER-encoded ASN.1 Certificate structure
as described in section 4 of RFC5280.
Non-PEM content may appear before or after the CERTIFICATE PEM blocks and is unvalidated,
to allow for explanatory text as described in section 5.2 of RFC7468.
When encoded in JSON or YAML, this field is base-64 encoded.
A CertificateSigningRequest containing the example certificate above would look like this:
View the source code for the kube-controller-manager built in signer
View the source code for the kube-controller-manager built in approver
For details of X.509 itself, refer to RFC 5280 section 3.1
For information on the syntax of PKCS#10 certificate signing requests, refer to RFC 2986
3.4 - Using Admission Controllers
This page provides an overview of Admission Controllers.
What are they?
An admission controller is a piece of code that intercepts requests to the
Kubernetes API server prior to persistence of the object, but after the request
is authenticated and authorized. The controllers consist of the
list below, are compiled into the
kube-apiserver binary, and may only be configured by the cluster
administrator. In that list, there are two special controllers:
MutatingAdmissionWebhook and ValidatingAdmissionWebhook. These execute the
mutating and validating (respectively)
admission control webhooks
which are configured in the API.
Admission controllers may be "validating", "mutating", or both. Mutating
controllers may modify the objects they admit; validating controllers may not.
Admission controllers limit requests to create, delete, modify or connect to (proxy). They do not support read requests.
The admission control process proceeds in two phases. In the first phase,
mutating admission controllers are run. In the second phase, validating
admission controllers are run. Note again that some of the controllers are
both.
If any of the controllers in either phase reject the request, the entire
request is rejected immediately and an error is returned to the end-user.
Finally, in addition to sometimes mutating the object in question, admission
controllers may sometimes have side effects, that is, mutate related
resources as part of request processing. Incrementing quota usage is the
canonical example of why this is necessary. Any such side-effect needs a
corresponding reclamation or reconciliation process, as a given admission
controller does not know for sure that a given request will pass all of the
other admission controllers.
Why do I need them?
Many advanced features in Kubernetes require an admission controller to be enabled in order
to properly support the feature. As a result, a Kubernetes API server that is not properly
configured with the right set of admission controllers is an incomplete server and will not
support all the features you expect.
How do I turn on an admission controller?
The Kubernetes API server flag enable-admission-plugins takes a comma-delimited list of admission control plugins to invoke prior to modifying objects in the cluster.
For example, the following command line enables the NamespaceLifecycle and the LimitRanger
admission control plugins:
Note: Depending on the way your Kubernetes cluster is deployed and how the API server is
started, you may need to apply the settings in different ways. For example, you may
have to modify the systemd unit file if the API server is deployed as a systemd
service, you may modify the manifest file for the API server if Kubernetes is deployed
in a self-hosted way.
How do I turn off an admission controller?
The Kubernetes API server flag disable-admission-plugins takes a comma-delimited list of admission control plugins to be disabled, even if they are in the list of plugins enabled by default.
This admission controller allows all pods into the cluster. It is deprecated because its behavior is the same as if there were no admission controller at all.
AlwaysDeny
FEATURE STATE:Kubernetes v1.13 [deprecated]
Rejects all requests. AlwaysDeny is DEPRECATED as it has no real meaning.
AlwaysPullImages
This admission controller modifies every new Pod to force the image pull policy to Always. This is useful in a
multitenant cluster so that users can be assured that their private images can only be used by those
who have the credentials to pull them. Without this admission controller, once an image has been pulled to a
node, any pod from any user can use it by knowing the image's name (assuming the Pod is
scheduled onto the right node), without any authorization check against the image. When this admission controller
is enabled, images are always pulled prior to starting containers, which means valid credentials are
required.
CertificateApproval
This admission controller observes requests to 'approve' CertificateSigningRequest resources and performs additional
authorization checks to ensure the approving user has permission to approve certificate requests with the
spec.signerName requested on the CertificateSigningRequest resource.
See Certificate Signing Requests for more
information on the permissions required to perform different actions on CertificateSigningRequest resources.
CertificateSigning
This admission controller observes updates to the status.certificate field of CertificateSigningRequest resources
and performs an additional authorization checks to ensure the signing user has permission to sign certificate
requests with the spec.signerName requested on the CertificateSigningRequest resource.
See Certificate Signing Requests for more
information on the permissions required to perform different actions on CertificateSigningRequest resources.
CertificateSubjectRestrictions
This admission controller observes creation of CertificateSigningRequest resources that have a spec.signerName
of kubernetes.io/kube-apiserver-client. It rejects any request that specifies a 'group' (or 'organization attribute')
of system:masters.
DefaultIngressClass
This admission controller observes creation of Ingress objects that do not request any specific
ingress class and automatically adds a default ingress class to them. This way, users that do not
request any special ingress class do not need to care about them at all and they will get the
default one.
This admission controller does not do anything when no default ingress class is configured. When more than one ingress
class is marked as default, it rejects any creation of Ingress with an error and an administrator
must revisit their IngressClass objects and mark only one as default (with the annotation
"ingressclass.kubernetes.io/is-default-class"). This admission controller ignores any Ingress
updates; it acts only on creation.
See the ingress documentation for more about ingress
classes and how to mark one as default.
DefaultStorageClass
This admission controller observes creation of PersistentVolumeClaim objects that do not request any specific storage class
and automatically adds a default storage class to them.
This way, users that do not request any special storage class do not need to care about them at all and they
will get the default one.
This admission controller does not do anything when no default storage class is configured. When more than one storage
class is marked as default, it rejects any creation of PersistentVolumeClaim with an error and an administrator
must revisit their StorageClass objects and mark only one as default.
This admission controller ignores any PersistentVolumeClaim updates; it acts only on creation.
See persistent volume documentation about persistent volume claims and
storage classes and how to mark a storage class as default.
DefaultTolerationSeconds
This admission controller sets the default forgiveness toleration for pods to tolerate
the taints notready:NoExecute and unreachable:NoExecute based on the k8s-apiserver input parameters
default-not-ready-toleration-seconds and default-unreachable-toleration-seconds if the pods don't already
have toleration for taints node.kubernetes.io/not-ready:NoExecute or
node.kubernetes.io/unreachable:NoExecute.
The default value for default-not-ready-toleration-seconds and default-unreachable-toleration-seconds is 5 minutes.
DenyEscalatingExec
FEATURE STATE:Kubernetes v1.13 [deprecated]
This admission controller will deny exec and attach commands to pods that run with escalated privileges that
allow host access. This includes pods that run as privileged, have access to the host IPC namespace, and
have access to the host PID namespace.
The DenyEscalatingExec admission plugin is deprecated.
Use of a policy-based admission plugin (like PodSecurityPolicy or a custom admission plugin)
which can be targeted at specific users or Namespaces and also protects against creation of overly privileged Pods
is recommended instead.
DenyExecOnPrivileged
FEATURE STATE:Kubernetes v1.13 [deprecated]
This admission controller will intercept all requests to exec a command in a pod if that pod has a privileged container.
This functionality has been merged into DenyEscalatingExec.
The DenyExecOnPrivileged admission plugin is deprecated.
Use of a policy-based admission plugin (like PodSecurityPolicy or a custom admission plugin)
which can be targeted at specific users or Namespaces and also protects against creation of overly privileged Pods
is recommended instead.
DenyServiceExternalIPs
This admission controller rejects all net-new usage of the Service field externalIPs. This
feature is very powerful (allows network traffic interception) and not well
controlled by policy. When enabled, users of the cluster may not create new
Services which use externalIPs and may not add new values to externalIPs on
existing Service objects. Existing uses of externalIPs are not affected,
and users may remove values from externalIPs on existing Service objects.
Most users do not need this feature at all, and cluster admins should consider disabling it.
Clusters that do need to use this feature should consider using some custom policy to manage usage
of it.
EventRateLimit
FEATURE STATE:Kubernetes v1.13 [alpha]
This admission controller mitigates the problem where the API server gets flooded by
event requests. The cluster admin can specify event rate limits by:
Enabling the EventRateLimit admission controller;
Referencing an EventRateLimit configuration file from the file provided to the API
server's command line flag --admission-control-config-file:
# Deprecated in v1.17 in favor of apiserver.config.k8s.io/v1apiVersion:apiserver.k8s.io/v1alpha1kind:AdmissionConfigurationplugins:- name:EventRateLimitpath:eventconfig.yaml...
There are four types of limits that can be specified in the configuration:
Server: All event requests received by the API server share a single bucket.
Namespace: Each namespace has a dedicated bucket.
User: Each user is allocated a bucket.
SourceAndObject: A bucket is assigned by each combination of source and
involved object of the event.
Below is a sample eventconfig.yaml for such a configuration:
This plug-in facilitates creation of dedicated nodes with extended resources.
If operators want to create dedicated nodes with extended resources (like GPUs, FPGAs etc.), they are expected to
taint the node with the extended resource
name as the key. This admission controller, if enabled, automatically
adds tolerations for such taints to pods requesting extended resources, so users don't have to manually
add these tolerations.
ImagePolicyWebhook
The ImagePolicyWebhook admission controller allows a backend webhook to make admission decisions.
Configuration File Format
ImagePolicyWebhook uses a configuration file to set options for the behavior of the backend.
This file may be json or yaml and has the following format:
imagePolicy:kubeConfigFile:/path/to/kubeconfig/for/backend# time in s to cache approvalallowTTL:50# time in s to cache denialdenyTTL:50# time in ms to wait between retriesretryBackoff:500# determines behavior if the webhook backend failsdefaultAllow:true
Reference the ImagePolicyWebhook configuration file from the file provided to the API server's command line flag --admission-control-config-file:
# Deprecated in v1.17 in favor of apiserver.config.k8s.io/v1apiVersion:apiserver.k8s.io/v1alpha1kind:AdmissionConfigurationplugins:- name:ImagePolicyWebhookpath:imagepolicyconfig.yaml...
Alternatively, you can embed the configuration directly in the file:
# Deprecated in v1.17 in favor of apiserver.config.k8s.io/v1apiVersion:apiserver.k8s.io/v1alpha1kind:AdmissionConfigurationplugins:- name:ImagePolicyWebhookconfiguration:imagePolicy:kubeConfigFile:<path-to-kubeconfig-file>allowTTL:50denyTTL:50retryBackoff:500defaultAllow:true
The ImagePolicyWebhook config file must reference a
kubeconfig
formatted file which sets up the connection to the backend.
It is required that the backend communicate over TLS.
The kubeconfig file's cluster field must point to the remote service, and the user field must contain the returned authorizer.
# clusters refers to the remote service.clusters:- name:name-of-remote-imagepolicy-servicecluster:certificate-authority:/path/to/ca.pem # CA for verifying the remote service.server:https://images.example.com/policy# URL of remote service to query. Must use 'https'.# users refers to the API server's webhook configuration.users:- name:name-of-api-serveruser:client-certificate:/path/to/cert.pem# cert for the webhook admission controller to useclient-key:/path/to/key.pem # key matching the cert
For additional HTTP configuration, refer to the
kubeconfig documentation.
Request Payloads
When faced with an admission decision, the API Server POSTs a JSON serialized imagepolicy.k8s.io/v1alpha1ImageReview object describing the action. This object contains fields describing the containers being admitted, as well as any pod annotations that match *.image-policy.k8s.io/*.
Note that webhook API objects are subject to the same versioning compatibility rules as other Kubernetes API objects. Implementers should be aware of looser compatibility promises for alpha objects and check the "apiVersion" field of the request to ensure correct deserialization. Additionally, the API Server must enable the imagepolicy.k8s.io/v1alpha1 API extensions group (--runtime-config=imagepolicy.k8s.io/v1alpha1=true).
The remote service is expected to fill the ImageReviewStatus field of the request and respond to either allow or disallow access. The response body's "spec" field is ignored and may be omitted. A permissive response would return:
For further documentation refer to the imagepolicy.v1alpha1 API objects and plugin/pkg/admission/imagepolicy/admission.go.
Extending with Annotations
All annotations on a Pod that match *.image-policy.k8s.io/* are sent to the webhook. Sending annotations allows users who are aware of the image policy backend to send extra information to it, and for different backends implementations to accept different information.
Examples of information you might put here are:
request to "break glass" to override a policy, in case of emergency.
a ticket number from a ticket system that documents the break-glass request
provide a hint to the policy server as to the imageID of the image being provided, to save it a lookup
In any case, the annotations are provided by the user and are not validated by Kubernetes in any way. In the future, if an annotation is determined to be widely useful, it may be promoted to a named field of ImageReviewSpec.
LimitPodHardAntiAffinityTopology
This admission controller denies any pod that defines AntiAffinity topology key other than
kubernetes.io/hostname in requiredDuringSchedulingRequiredDuringExecution.
LimitRanger
This admission controller will observe the incoming request and ensure that it does not violate any of the constraints
enumerated in the LimitRange object in a Namespace. If you are using LimitRange objects in
your Kubernetes deployment, you MUST use this admission controller to enforce those constraints. LimitRanger can also
be used to apply default resource requests to Pods that don't specify any; currently, the default LimitRanger
applies a 0.1 CPU requirement to all Pods in the default namespace.
This admission controller calls any mutating webhooks which match the request. Matching
webhooks are called in serial; each one may modify the object if it desires.
This admission controller (as implied by the name) only runs in the mutating phase.
If a webhook called by this has side effects (for example, decrementing quota) it
must have a reconciliation system, as it is not guaranteed that subsequent
webhooks or validating admission controllers will permit the request to finish.
If you disable the MutatingAdmissionWebhook, you must also disable the
MutatingWebhookConfiguration object in the admissionregistration.k8s.io/v1
group/version via the --runtime-config flag (both are on by default in
versions >= 1.9).
Use caution when authoring and installing mutating webhooks
Users may be confused when the objects they try to create are different from
what they get back.
Built in control loops may break when the objects they try to create are
different when read back.
Setting originally unset fields is less likely to cause problems than
overwriting fields set in the original request. Avoid doing the latter.
Future changes to control loops for built-in resources or third-party resources
may break webhooks that work well today. Even when the webhook installation API
is finalized, not all possible webhook behaviors will be guaranteed to be supported
indefinitely.
NamespaceAutoProvision
This admission controller examines all incoming requests on namespaced resources and checks
if the referenced namespace does exist.
It creates a namespace if it cannot be found.
This admission controller is useful in deployments that do not want to restrict creation of
a namespace prior to its usage.
NamespaceExists
This admission controller checks all requests on namespaced resources other than Namespace itself.
If the namespace referenced from a request doesn't exist, the request is rejected.
NamespaceLifecycle
This admission controller enforces that a Namespace that is undergoing termination cannot have new objects created in it,
and ensures that requests in a non-existent Namespace are rejected. This admission controller also prevents deletion of
three system reserved namespaces default, kube-system, kube-public.
A Namespace deletion kicks off a sequence of operations that remove all objects (pods, services, etc.) in that
namespace. In order to enforce integrity of that process, we strongly recommend running this admission controller.
NodeRestriction
This admission controller limits the Node and Pod objects a kubelet can modify. In order to be limited by this admission controller,
kubelets must use credentials in the system:nodes group, with a username in the form system:node:<nodeName>.
Such kubelets will only be allowed to modify their own Node API object, and only modify Pod API objects that are bound to their node.
In Kubernetes 1.11+, kubelets are not allowed to update or remove taints from their Node API object.
In Kubernetes 1.13+, the NodeRestriction admission plugin prevents kubelets from deleting their Node API object,
and enforces kubelet modification of labels under the kubernetes.io/ or k8s.io/ prefixes as follows:
Prevents kubelets from adding/removing/updating labels with a node-restriction.kubernetes.io/ prefix.
This label prefix is reserved for administrators to label their Node objects for workload isolation purposes,
and kubelets will not be allowed to modify labels with that prefix.
Allows kubelets to add/remove/update these labels and label prefixes:
Use of any other labels under the kubernetes.io or k8s.io prefixes by kubelets is reserved, and may be disallowed or allowed by the NodeRestriction admission plugin in the future.
Future versions may add additional restrictions to ensure kubelets have the minimal set of permissions required to operate correctly.
OwnerReferencesPermissionEnforcement
This admission controller protects the access to the metadata.ownerReferences of an object
so that only users with "delete" permission to the object can change it.
This admission controller also protects the access to metadata.ownerReferences[x].blockOwnerDeletion
of an object, so that only users with "update" permission to the finalizers
subresource of the referenced owner can change it.
PersistentVolumeClaimResize
This admission controller implements additional validations for checking incoming PersistentVolumeClaim resize requests.
Note: Support for volume resizing is available as an alpha feature. Admins must set the feature gate ExpandPersistentVolumes
to true to enable resizing.
After enabling the ExpandPersistentVolumes feature gate, enabling the PersistentVolumeClaimResize admission
controller is recommended, too. This admission controller prevents resizing of all claims by default unless a claim's StorageClass
explicitly enables resizing by setting allowVolumeExpansion to true.
For example: all PersistentVolumeClaims created from the following StorageClass support volume expansion:
This admission controller automatically attaches region or zone labels to PersistentVolumes
as defined by the cloud provider (for example, GCE or AWS).
It helps ensure the Pods and the PersistentVolumes mounted are in the same
region and/or zone.
If the admission controller doesn't support automatic labelling your PersistentVolumes, you
may need to add the labels manually to prevent pods from mounting volumes from
a different zone. PersistentVolumeLabel is DEPRECATED and labeling persistent volumes has been taken over by
the cloud-controller-manager.
Starting from 1.11, this admission controller is disabled by default.
PodNodeSelector
FEATURE STATE:Kubernetes v1.5 [alpha]
This admission controller defaults and limits what node selectors may be used within a namespace by reading a namespace annotation and a global configuration.
Configuration File Format
PodNodeSelector uses a configuration file to set options for the behavior of the backend.
Note that the configuration file format will move to a versioned file in a future release.
This file may be json or yaml and has the following format:
# Deprecated in v1.17 in favor of apiserver.config.k8s.io/v1apiVersion:apiserver.k8s.io/v1alpha1kind:AdmissionConfigurationplugins:- name:PodNodeSelectorpath:podnodeselector.yaml...
Configuration Annotation Format
PodNodeSelector uses the annotation key scheduler.alpha.kubernetes.io/node-selector to assign node selectors to namespaces.
This admission controller has the following behavior:
If the Namespace has an annotation with a key scheduler.alpha.kubernetes.io/node-selector, use its value as the
node selector.
If the namespace lacks such an annotation, use the clusterDefaultNodeSelector defined in the PodNodeSelector
plugin configuration file as the node selector.
Evaluate the pod's node selector against the namespace node selector for conflicts. Conflicts result in rejection.
Evaluate the pod's node selector against the namespace-specific allowed selector defined the plugin configuration file.
Conflicts result in rejection.
Note: PodNodeSelector allows forcing pods to run on specifically labeled nodes. Also see the PodTolerationRestriction
admission plugin, which allows preventing pods from running on specifically tainted nodes.
PodSecurityPolicy
This admission controller acts on creation and modification of the pod and determines if it should be admitted
based on the requested security context and the available Pod Security Policies.
The PodTolerationRestriction admission controller verifies any conflict between tolerations of a pod and the tolerations of its namespace.
It rejects the pod request if there is a conflict.
It then merges the tolerations annotated on the namespace into the tolerations of the pod.
The resulting tolerations are checked against a list of allowed tolerations annotated to the namespace.
If the check succeeds, the pod request is admitted otherwise it is rejected.
If the namespace of the pod does not have any associated default tolerations or allowed
tolerations annotated, the cluster-level default tolerations or cluster-level list of allowed tolerations are used
instead if they are specified.
Tolerations to a namespace are assigned via the scheduler.alpha.kubernetes.io/defaultTolerations annotation key.
The list of allowed tolerations can be added via the scheduler.alpha.kubernetes.io/tolerationsWhitelist annotation key.
The priority admission controller uses the priorityClassName field and populates the integer value of the priority. If the priority class is not found, the Pod is rejected.
ResourceQuota
This admission controller will observe the incoming request and ensure that it does not violate any of the constraints
enumerated in the ResourceQuota object in a Namespace. If you are using ResourceQuota
objects in your Kubernetes deployment, you MUST use this admission controller to enforce quota constraints.
If you enable the PodOverheadfeature gate, and define a RuntimeClass with Pod overhead configured, this admission controller checks incoming
Pods. When enabled, this admission controller rejects any Pod create requests that have the overhead already set.
For Pods that have a RuntimeClass is configured and selected in their .spec, this admission controller sets .spec.overhead in the Pod based on the value defined in the corresponding RuntimeClass.
Note: The .spec.overhead field for Pod and the .overhead field for RuntimeClass are both in beta. If you do not enable the PodOverhead feature gate, all Pods are treated as if .spec.overhead is unset.
This admission controller implements automation for
serviceAccounts.
We strongly recommend using this admission controller if you intend to make use of Kubernetes ServiceAccount objects.
StorageObjectInUseProtection
The StorageObjectInUseProtection plugin adds the kubernetes.io/pvc-protection or kubernetes.io/pv-protection
finalizers to newly created Persistent Volume Claims (PVCs) or Persistent Volumes (PV).
In case a user deletes a PVC or PV the PVC or PV is not removed until the finalizer is removed
from the PVC or PV by PVC or PV Protection Controller.
Refer to the
Storage Object in Use Protection
for more detailed information.
TaintNodesByCondition
FEATURE STATE:Kubernetes v1.12 [beta]
This admission controller taints newly created Nodes as NotReady and NoSchedule. That tainting avoids a race condition that could cause Pods to be scheduled on new Nodes before their taints were updated to accurately reflect their reported conditions.
ValidatingAdmissionWebhook
This admission controller calls any validating webhooks which match the request. Matching
webhooks are called in parallel; if any of them rejects the request, the request
fails. This admission controller only runs in the validation phase; the webhooks it calls may not
mutate the object, as opposed to the webhooks called by the MutatingAdmissionWebhook admission controller.
If a webhook called by this has side effects (for example, decrementing quota) it
must have a reconciliation system, as it is not guaranteed that subsequent
webhooks or other validating admission controllers will permit the request to finish.
If you disable the ValidatingAdmissionWebhook, you must also disable the
ValidatingWebhookConfiguration object in the admissionregistration.k8s.io/v1
group/version via the --runtime-config flag (both are on by default in
versions 1.9 and later).
Is there a recommended set of admission controllers to use?
Yes. The recommended admission controllers are enabled by default (shown here), so you do not need to explicitly specify them. You can enable additional admission controllers beyond the default set using the --enable-admission-plugins flag (order doesn't matter).
Note:--admission-control was deprecated in 1.10 and replaced with --enable-admission-plugins.
3.5 - Dynamic Admission Control
In addition to compiled-in admission plugins,
admission plugins can be developed as extensions and run as webhooks configured at runtime.
This page describes how to build, configure, use, and monitor admission webhooks.
What are admission webhooks?
Admission webhooks are HTTP callbacks that receive admission requests and do
something with them. You can define two types of admission webhooks,
validating admission webhook
and
mutating admission webhook.
Mutating admission webhooks are invoked first, and can modify objects sent to the API server to enforce custom defaults.
After all object modifications are complete, and after the incoming object is validated by the API server,
validating admission webhooks are invoked and can reject requests to enforce custom policies.
Note: Admission webhooks that need to guarantee they see the final state of the object in order to enforce policy
should use a validating admission webhook, since objects can be modified after being seen by mutating webhooks.
Experimenting with admission webhooks
Admission webhooks are essentially part of the cluster control-plane. You should
write and deploy them with great caution. Please read the user
guides for
instructions if you intend to write/deploy production-grade admission webhooks.
In the following, we describe how to quickly experiment with admission webhooks.
Prerequisites
Ensure that the Kubernetes cluster is at least as new as v1.16 (to use admissionregistration.k8s.io/v1),
or v1.9 (to use admissionregistration.k8s.io/v1beta1).
Ensure that MutatingAdmissionWebhook and ValidatingAdmissionWebhook
admission controllers are enabled.
Here
is a recommended set of admission controllers to enable in general.
Ensure that the admissionregistration.k8s.io/v1 or admissionregistration.k8s.io/v1beta1 API is enabled.
Write an admission webhook server
Please refer to the implementation of the admission webhook
server
that is validated in a Kubernetes e2e test. The webhook handles the
AdmissionReview request sent by the apiservers, and sends back its decision
as an AdmissionReview object in the same version it received.
See the webhook request section for details on the data sent to webhooks.
See the webhook response section for the data expected from webhooks.
The example admission webhook server leaves the ClientAuth field
empty,
which defaults to NoClientCert. This means that the webhook server does not
authenticate the identity of the clients, supposedly apiservers. If you need
mutual TLS or other ways to authenticate the clients, see
how to authenticate apiservers.
Deploy the admission webhook service
The webhook server in the e2e test is deployed in the Kubernetes cluster, via
the deployment API.
The test also creates a service
as the front-end of the webhook server. See
code.
You may also deploy your webhooks outside of the cluster. You will need to update
your webhook configurations accordingly.
The following is an example ValidatingWebhookConfiguration, a mutating webhook configuration is similar.
See the webhook configuration section for details about each config field.
apiVersion:admissionregistration.k8s.io/v1kind:ValidatingWebhookConfigurationmetadata:name:"pod-policy.example.com"webhooks:- name:"pod-policy.example.com"rules:- apiGroups:[""]apiVersions:["v1"]operations:["CREATE"]resources:["pods"]scope:"Namespaced"clientConfig:service:namespace:"example-namespace"name:"example-service"caBundle:"Ci0tLS0tQk...<`caBundle` is a PEM encoded CA bundle which will be used to validate the webhook's server certificate.>...tLS0K"admissionReviewVersions:["v1","v1beta1"]sideEffects:NonetimeoutSeconds:5
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:ValidatingWebhookConfigurationmetadata:name:"pod-policy.example.com"webhooks:- name:"pod-policy.example.com"rules:- apiGroups:[""]apiVersions:["v1"]operations:["CREATE"]resources:["pods"]scope:"Namespaced"clientConfig:service:namespace:"example-namespace"name:"example-service"caBundle:"Ci0tLS0tQk...<`caBundle` is a PEM encoded CA bundle which will be used to validate the webhook's server certificate>...tLS0K"admissionReviewVersions:["v1beta1"]timeoutSeconds:5
The scope field specifies if only cluster-scoped resources ("Cluster") or namespace-scoped
resources ("Namespaced") will match this rule. "∗" means that there are no scope restrictions.
Note: When using clientConfig.service, the server cert must be valid for
<svc_name>.<svc_namespace>.svc.
Note: Default timeout for a webhook call is 10 seconds for webhooks registered created using admissionregistration.k8s.io/v1,
and 30 seconds for webhooks created using admissionregistration.k8s.io/v1beta1. Starting in kubernetes 1.14 you
can set the timeout and it is encouraged to use a small timeout for webhooks.
If the webhook call times out, the request is handled according to the webhook's
failure policy.
When an apiserver receives a request that matches one of the rules, the
apiserver sends an admissionReview request to webhook as specified in the
clientConfig.
After you create the webhook configuration, the system will take a few seconds
to honor the new configuration.
Authenticate apiservers
If your admission webhooks require authentication, you can configure the
apiservers to use basic auth, bearer token, or a cert to authenticate itself to
the webhooks. There are three steps to complete the configuration.
When starting the apiserver, specify the location of the admission control
configuration file via the --admission-control-config-file flag.
In the admission control configuration file, specify where the
MutatingAdmissionWebhook controller and ValidatingAdmissionWebhook controller
should read the credentials. The credentials are stored in kubeConfig files
(yes, the same schema that's used by kubectl), so the field name is
kubeConfigFile. Here is an example admission control configuration file:
# Deprecated in v1.17 in favor of apiserver.config.k8s.io/v1apiVersion:apiserver.k8s.io/v1alpha1kind:AdmissionConfigurationplugins:- name:ValidatingAdmissionWebhookconfiguration:# Deprecated in v1.17 in favor of apiserver.config.k8s.io/v1, kind=WebhookAdmissionConfigurationapiVersion:apiserver.config.k8s.io/v1alpha1kind:WebhookAdmissionkubeConfigFile:"<path-to-kubeconfig-file>"- name:MutatingAdmissionWebhookconfiguration:# Deprecated in v1.17 in favor of apiserver.config.k8s.io/v1, kind=WebhookAdmissionConfigurationapiVersion:apiserver.config.k8s.io/v1alpha1kind:WebhookAdmissionkubeConfigFile:"<path-to-kubeconfig-file>"
apiVersion:v1kind:Configusers:# name should be set to the DNS name of the service or the host (including port) of the URL the webhook is configured to speak to.# If a non-443 port is used for services, it must be included in the name when configuring 1.16+ API servers.## For a webhook configured to speak to a service on the default port (443), specify the DNS name of the service:# - name: webhook1.ns1.svc# user: ...## For a webhook configured to speak to a service on non-default port (e.g. 8443), specify the DNS name and port of the service in 1.16+:# - name: webhook1.ns1.svc:8443# user: ...# and optionally create a second stanza using only the DNS name of the service for compatibility with 1.15 API servers:# - name: webhook1.ns1.svc# user: ...## For webhooks configured to speak to a URL, match the host (and port) specified in the webhook's URL. Examples:# A webhook with `url: https://www.example.com`:# - name: www.example.com# user: ...## A webhook with `url: https://www.example.com:443`:# - name: www.example.com:443# user: ...## A webhook with `url: https://www.example.com:8443`:# - name: www.example.com:8443# user: ...#- name:'webhook1.ns1.svc'user:client-certificate-data:"<pem encoded certificate>"client-key-data:"<pem encoded key>"# The `name` supports using * to wildcard-match prefixing segments.- name:'*.webhook-company.org'user:password:"<password>"username:"<name>"# '*' is the default match.- name:'*'user:token:"<token>"
Of course you need to set up the webhook server to handle these authentications.
Webhook request and response
Request
Webhooks are sent a POST request, with Content-Type: application/json,
with an AdmissionReview API object in the admission.k8s.io API group
serialized to JSON as the body.
Webhooks can specify what versions of AdmissionReview objects they accept
with the admissionReviewVersions field in their configuration:
admissionReviewVersions is a required field when creating
admissionregistration.k8s.io/v1 webhook configurations.
Webhooks are required to support at least one AdmissionReview
version understood by the current and previous API server.
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:ValidatingWebhookConfiguration...webhooks:- name:my-webhook.example.comadmissionReviewVersions:["v1beta1"]...
If no admissionReviewVersions are specified, the default when creating
admissionregistration.k8s.io/v1beta1 webhook configurations is v1beta1.
API servers send the first AdmissionReview version in the admissionReviewVersions list they support.
If none of the versions in the list are supported by the API server, the configuration will not be allowed to be created.
If an API server encounters a webhook configuration that was previously created and does not support any of the AdmissionReview
versions the API server knows how to send, attempts to call to the webhook will fail and be subject to the failure policy.
This example shows the data contained in an AdmissionReview object
for a request to update the scale subresource of an apps/v1Deployment:
{"apiVersion": "admission.k8s.io/v1","kind": "AdmissionReview","request": {# Random uid uniquely identifying this admission call"uid": "705ab4f5-6393-11e8-b7cc-42010a800002",# Fully-qualified group/version/kind of the incoming object"kind": {"group":"autoscaling","version":"v1","kind":"Scale"},# Fully-qualified group/version/kind of the resource being modified"resource": {"group":"apps","version":"v1","resource":"deployments"},# subresource, if the request is to a subresource"subResource": "scale",# Fully-qualified group/version/kind of the incoming object in the original request to the API server.# This only differs from `kind` if the webhook specified `matchPolicy: Equivalent` and the# original request to the API server was converted to a version the webhook registered for."requestKind": {"group":"autoscaling","version":"v1","kind":"Scale"},# Fully-qualified group/version/kind of the resource being modified in the original request to the API server.# This only differs from `resource` if the webhook specified `matchPolicy: Equivalent` and the# original request to the API server was converted to a version the webhook registered for."requestResource": {"group":"apps","version":"v1","resource":"deployments"},# subresource, if the request is to a subresource# This only differs from `subResource` if the webhook specified `matchPolicy: Equivalent` and the# original request to the API server was converted to a version the webhook registered for."requestSubResource": "scale",# Name of the resource being modified"name": "my-deployment",# Namespace of the resource being modified, if the resource is namespaced (or is a Namespace object)"namespace": "my-namespace",# operation can be CREATE, UPDATE, DELETE, or CONNECT"operation": "UPDATE","userInfo": {# Username of the authenticated user making the request to the API server"username": "admin",# UID of the authenticated user making the request to the API server"uid": "014fbff9a07c",# Group memberships of the authenticated user making the request to the API server"groups": ["system:authenticated","my-admin-group"],# Arbitrary extra info associated with the user making the request to the API server.# This is populated by the API server authentication layer and should be included# if any SubjectAccessReview checks are performed by the webhook."extra": {"some-key":["some-value1","some-value2"]}},# object is the new object being admitted.# It is null for DELETE operations."object": {"apiVersion":"autoscaling/v1","kind":"Scale",...},# oldObject is the existing object.# It is null for CREATE and CONNECT operations."oldObject": {"apiVersion":"autoscaling/v1","kind":"Scale",...},# options contains the options for the operation being admitted, like meta.k8s.io/v1 CreateOptions, UpdateOptions, or DeleteOptions.# It is null for CONNECT operations."options": {"apiVersion":"meta.k8s.io/v1","kind":"UpdateOptions",...},# dryRun indicates the API request is running in dry run mode and will not be persisted.# Webhooks with side effects should avoid actuating those side effects when dryRun is true.# See http://k8s.io/docs/reference/using-api/api-concepts/#make-a-dry-run-request for more details."dryRun": false}}
{# Deprecated in v1.16 in favor of admission.k8s.io/v1"apiVersion": "admission.k8s.io/v1beta1","kind": "AdmissionReview","request": {# Random uid uniquely identifying this admission call"uid": "705ab4f5-6393-11e8-b7cc-42010a800002",# Fully-qualified group/version/kind of the incoming object"kind": {"group":"autoscaling","version":"v1","kind":"Scale"},# Fully-qualified group/version/kind of the resource being modified"resource": {"group":"apps","version":"v1","resource":"deployments"},# subresource, if the request is to a subresource"subResource": "scale",# Fully-qualified group/version/kind of the incoming object in the original request to the API server.# This only differs from `kind` if the webhook specified `matchPolicy: Equivalent` and the# original request to the API server was converted to a version the webhook registered for.# Only sent by v1.15+ API servers."requestKind": {"group":"autoscaling","version":"v1","kind":"Scale"},# Fully-qualified group/version/kind of the resource being modified in the original request to the API server.# This only differs from `resource` if the webhook specified `matchPolicy: Equivalent` and the# original request to the API server was converted to a version the webhook registered for.# Only sent by v1.15+ API servers."requestResource": {"group":"apps","version":"v1","resource":"deployments"},# subresource, if the request is to a subresource# This only differs from `subResource` if the webhook specified `matchPolicy: Equivalent` and the# original request to the API server was converted to a version the webhook registered for.# Only sent by v1.15+ API servers."requestSubResource": "scale",# Name of the resource being modified"name": "my-deployment",# Namespace of the resource being modified, if the resource is namespaced (or is a Namespace object)"namespace": "my-namespace",# operation can be CREATE, UPDATE, DELETE, or CONNECT"operation": "UPDATE","userInfo": {# Username of the authenticated user making the request to the API server"username": "admin",# UID of the authenticated user making the request to the API server"uid": "014fbff9a07c",# Group memberships of the authenticated user making the request to the API server"groups": ["system:authenticated","my-admin-group"],# Arbitrary extra info associated with the user making the request to the API server.# This is populated by the API server authentication layer and should be included# if any SubjectAccessReview checks are performed by the webhook."extra": {"some-key":["some-value1","some-value2"]}},# object is the new object being admitted.# It is null for DELETE operations."object": {"apiVersion":"autoscaling/v1","kind":"Scale",...},# oldObject is the existing object.# It is null for CREATE and CONNECT operations (and for DELETE operations in API servers prior to v1.15.0)"oldObject": {"apiVersion":"autoscaling/v1","kind":"Scale",...},# options contains the options for the operation being admitted, like meta.k8s.io/v1 CreateOptions, UpdateOptions, or DeleteOptions.# It is null for CONNECT operations.# Only sent by v1.15+ API servers."options": {"apiVersion":"meta.k8s.io/v1","kind":"UpdateOptions",...},# dryRun indicates the API request is running in dry run mode and will not be persisted.# Webhooks with side effects should avoid actuating those side effects when dryRun is true.# See http://k8s.io/docs/reference/using-api/api-concepts/#make-a-dry-run-request for more details."dryRun": false}}
Response
Webhooks respond with a 200 HTTP status code, Content-Type: application/json,
and a body containing an AdmissionReview object (in the same version they were sent),
with the response stanza populated, serialized to JSON.
At a minimum, the response stanza must contain the following fields:
uid, copied from the request.uid sent to the webhook
allowed, either set to true or false
Example of a minimal response from a webhook to allow a request:
When rejecting a request, the webhook can customize the http code and message returned to the user using the status field.
The specified status object is returned to the user.
See the API documentation for details about the status type.
Example of a response to forbid a request, customizing the HTTP status code and message presented to the user:
{
"apiVersion": "admission.k8s.io/v1",
"kind": "AdmissionReview",
"response": {
"uid": "<value from request.uid>",
"allowed": false,
"status": {
"code": 403,
"message": "You cannot do this because it is Tuesday and your name starts with A"
}
}
}
{
"apiVersion": "admission.k8s.io/v1beta1",
"kind": "AdmissionReview",
"response": {
"uid": "<value from request.uid>",
"allowed": false,
"status": {
"code": 403,
"message": "You cannot do this because it is Tuesday and your name starts with A"
}
}
}
When allowing a request, a mutating admission webhook may optionally modify the incoming object as well.
This is done using the patch and patchType fields in the response.
The only currently supported patchType is JSONPatch.
See JSON patch documentation for more details.
For patchType: JSONPatch, the patch field contains a base64-encoded array of JSON patch operations.
As an example, a single patch operation that would set spec.replicas would be [{"op": "add", "path": "/spec/replicas", "value": 3}]
Base64-encoded, this would be W3sib3AiOiAiYWRkIiwgInBhdGgiOiAiL3NwZWMvcmVwbGljYXMiLCAidmFsdWUiOiAzfV0=
Starting in v1.19, admission webhooks can optionally return warning messages that are returned to the requesting client
in HTTP Warning headers with a warning code of 299. Warnings can be sent with allowed or rejected admission responses.
If you're implementing a webhook that returns a warning:
Don't include a "Warning:" prefix in the message
Use warning messages to describe problems the client making the API request should correct or be aware of
Limit warnings to 120 characters if possible
Caution: Individual warning messages over 256 characters may be truncated by the API server before being returned to clients.
If more than 4096 characters of warning messages are added (from all sources), additional warning messages are ignored.
{
"apiVersion": "admission.k8s.io/v1",
"kind": "AdmissionReview",
"response": {
"uid": "<value from request.uid>",
"allowed": true,
"warnings": [
"duplicate envvar entries specified with name MY_ENV",
"memory request less than 4MB specified for container mycontainer, which will not start successfully"
]
}
}
{
"apiVersion": "admission.k8s.io/v1beta1",
"kind": "AdmissionReview",
"response": {
"uid": "<value from request.uid>",
"allowed": true,
"warnings": [
"duplicate envvar entries specified with name MY_ENV",
"memory request less than 4MB specified for container mycontainer, which will not start successfully"
]
}
}
Webhook configuration
To register admission webhooks, create MutatingWebhookConfiguration or ValidatingWebhookConfiguration API objects.
The name of a MutatingWebhookConfiguration or a ValidatingWebhookConfiguration object must be a valid
DNS subdomain name.
Each configuration can contain one or more webhooks.
If multiple webhooks are specified in a single configuration, each should be given a unique name.
This is required in admissionregistration.k8s.io/v1, but strongly recommended when using admissionregistration.k8s.io/v1beta1,
in order to make resulting audit logs and metrics easier to match up to active configurations.
Each webhook defines the following things.
Matching requests: rules
Each webhook must specify a list of rules used to determine if a request to the API server should be sent to the webhook.
Each rule specifies one or more operations, apiGroups, apiVersions, and resources, and a resource scope:
operations lists one or more operations to match. Can be "CREATE", "UPDATE", "DELETE", "CONNECT", or "*" to match all.
apiGroups lists one or more API groups to match. "" is the core API group. "*" matches all API groups.
apiVersions lists one or more API versions to match. "*" matches all API versions.
resources lists one or more resources to match.
"*" matches all resources, but not subresources.
"*/*" matches all resources and subresources.
"pods/*" matches all subresources of pods.
"*/status" matches all status subresources.
scope specifies a scope to match. Valid values are "Cluster", "Namespaced", and "*". Subresources match the scope of their parent resource. Supported in v1.14+. Default is "*", matching pre-1.14 behavior.
"Cluster" means that only cluster-scoped resources will match this rule (Namespace API objects are cluster-scoped).
"Namespaced" means that only namespaced resources will match this rule.
"*" means that there are no scope restrictions.
If an incoming request matches one of the specified operations, groups, versions, resources, and scope for any of a webhook's rules, the request is sent to the webhook.
Here are other examples of rules that could be used to specify which resources should be intercepted.
Match CREATE or UPDATE requests to apps/v1 and apps/v1beta1deployments and replicasets:
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:ValidatingWebhookConfiguration...webhooks:- name:my-webhook.example.comrules:- operations:["CREATE","UPDATE"]apiGroups:["apps"]apiVersions:["v1","v1beta1"]resources:["deployments","replicasets"]scope:"Namespaced"...
Match create requests for all resources (but not subresources) in all API groups and versions:
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:ValidatingWebhookConfiguration...webhooks:- name:my-webhook.example.comrules:- operations:["CREATE"]apiGroups:["*"]apiVersions:["*"]resources:["*"]scope:"*"...
Match update requests for all status subresources in all API groups and versions:
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:ValidatingWebhookConfiguration...webhooks:- name:my-webhook.example.comrules:- operations:["UPDATE"]apiGroups:["*"]apiVersions:["*"]resources:["*/status"]scope:"*"...
Matching requests: objectSelector
In v1.15+, webhooks may optionally limit which requests are intercepted based on the labels of the
objects they would be sent, by specifying an objectSelector. If specified, the objectSelector
is evaluated against both the object and oldObject that would be sent to the webhook,
and is considered to match if either object matches the selector.
A null object (oldObject in the case of create, or newObject in the case of delete),
or an object that cannot have labels (like a DeploymentRollback or a PodProxyOptions object)
is not considered to match.
Use the object selector only if the webhook is opt-in, because end users may skip the admission webhook by setting the labels.
This example shows a mutating webhook that would match a CREATE of any resource with the label foo: bar:
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:MutatingWebhookConfiguration...webhooks:- name:my-webhook.example.comobjectSelector:matchLabels:foo:barrules:- operations:["CREATE"]apiGroups:["*"]apiVersions:["*"]resources:["*"]scope:"*"...
Webhooks may optionally limit which requests for namespaced resources are intercepted,
based on the labels of the containing namespace, by specifying a namespaceSelector.
The namespaceSelector decides whether to run the webhook on a request for a namespaced resource
(or a Namespace object), based on whether the namespace's labels match the selector.
If the object itself is a namespace, the matching is performed on object.metadata.labels.
If the object is a cluster scoped resource other than a Namespace, namespaceSelector has no effect.
This example shows a mutating webhook that matches a CREATE of any namespaced resource inside a namespace
that does not have a "runlevel" label of "0" or "1":
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:MutatingWebhookConfiguration...webhooks:- name:my-webhook.example.comnamespaceSelector:matchExpressions:- key:runleveloperator:NotInvalues:["0","1"]rules:- operations:["CREATE"]apiGroups:["*"]apiVersions:["*"]resources:["*"]scope:"Namespaced"...
This example shows a validating webhook that matches a CREATE of any namespaced resource inside a namespace
that is associated with the "environment" of "prod" or "staging":
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:ValidatingWebhookConfiguration...webhooks:- name:my-webhook.example.comnamespaceSelector:matchExpressions:- key:environmentoperator:Invalues:["prod","staging"]rules:- operations:["CREATE"]apiGroups:["*"]apiVersions:["*"]resources:["*"]scope:"Namespaced"...
API servers can make objects available via multiple API groups or versions.
For example, the Kubernetes API server may allow creating and modifying Deployment objects
via extensions/v1beta1, apps/v1beta1, apps/v1beta2, and apps/v1 APIs.
For example, if a webhook only specified a rule for some API groups/versions (like apiGroups:["apps"], apiVersions:["v1","v1beta1"]),
and a request was made to modify the resource via another API group/version (like extensions/v1beta1),
the request would not be sent to the webhook.
In v1.15+, matchPolicy lets a webhook define how its rules are used to match incoming requests.
Allowed values are Exact or Equivalent.
Exact means a request should be intercepted only if it exactly matches a specified rule.
Equivalent means a request should be intercepted if modifies a resource listed in rules, even via another API group or version.
In the example given above, the webhook that only registered for apps/v1 could use matchPolicy:
matchPolicy: Exact would mean the extensions/v1beta1 request would not be sent to the webhook
matchPolicy: Equivalent means the extensions/v1beta1 request would be sent to the webhook (with the objects converted to a version the webhook had specified: apps/v1)
Specifying Equivalent is recommended, and ensures that webhooks continue to intercept the
resources they expect when upgrades enable new versions of the resource in the API server.
When a resource stops being served by the API server, it is no longer considered equivalent to other versions of that resource that are still served.
For example, extensions/v1beta1 deployments were first deprecated and then removed (in Kubernetes v1.16).
Since that removal, a webhook with a apiGroups:["extensions"], apiVersions:["v1beta1"], resources:["deployments"] rule
does not intercept deployments created via apps/v1 APIs. For that reason, webhooks should prefer registering
for stable versions of resources.
This example shows a validating webhook that intercepts modifications to deployments (no matter the API group or version),
and is always sent an apps/v1Deployment object:
Admission webhooks created using admissionregistration.k8s.io/v1 default to Equivalent.
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:ValidatingWebhookConfiguration...webhooks:- name:my-webhook.example.commatchPolicy:Equivalentrules:- operations:["CREATE","UPDATE","DELETE"]apiGroups:["apps"]apiVersions:["v1"]resources:["deployments"]scope:"Namespaced"...
Admission webhooks created using admissionregistration.k8s.io/v1beta1 default to Exact.
Contacting the webhook
Once the API server has determined a request should be sent to a webhook,
it needs to know how to contact the webhook. This is specified in the clientConfig
stanza of the webhook configuration.
Webhooks can either be called via a URL or a service reference,
and can optionally include a custom CA bundle to use to verify the TLS connection.
URL
url gives the location of the webhook, in standard URL form
(scheme://host:port/path).
The host should not refer to a service running in the cluster; use
a service reference by specifying the service field instead.
The host might be resolved via external DNS in some apiservers
(e.g., kube-apiserver cannot resolve in-cluster DNS as that would
be a layering violation). host may also be an IP address.
Please note that using localhost or 127.0.0.1 as a host is
risky unless you take great care to run this webhook on all hosts
which run an apiserver which might need to make calls to this
webhook. Such installations are likely to be non-portable or not readily
run in a new cluster.
The scheme must be "https"; the URL must begin with "https://".
Attempting to use a user or basic auth (for example "user:password@") is not allowed.
Fragments ("#...") and query parameters ("?...") are also not allowed.
Here is an example of a mutating webhook configured to call a URL
(and expects the TLS certificate to be verified using system trust roots, so does not specify a caBundle):
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:MutatingWebhookConfiguration...webhooks:- name:my-webhook.example.comclientConfig:url:"https://my-webhook.example.com:9443/my-webhook-path"...
Service reference
The service stanza inside clientConfig is a reference to the service for this webhook.
If the webhook is running within the cluster, then you should use service instead of url.
The service namespace and name are required. The port is optional and defaults to 443.
The path is optional and defaults to "/".
Here is an example of a mutating webhook configured to call a service on port "1234"
at the subpath "/my-path", and to verify the TLS connection against the ServerName
my-service-name.my-service-namespace.svc using a custom CA bundle:
apiVersion:admissionregistration.k8s.io/v1kind:MutatingWebhookConfiguration...webhooks:- name:my-webhook.example.comclientConfig:caBundle:"Ci0tLS0tQk...<base64-encoded PEM bundle containing the CA that signed the webhook's serving certificate>...tLS0K"service:namespace:my-service-namespacename:my-service-namepath:/my-pathport:1234...
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:MutatingWebhookConfiguration...webhooks:- name:my-webhook.example.comclientConfig:caBundle:"Ci0tLS0tQk...<`caBundle` is a PEM encoded CA bundle which will be used to validate the webhook's server certificate>...tLS0K"service:namespace:my-service-namespacename:my-service-namepath:/my-pathport:1234...
Side effects
Webhooks typically operate only on the content of the AdmissionReview sent to them.
Some webhooks, however, make out-of-band changes as part of processing admission requests.
Webhooks that make out-of-band changes ("side effects") must also have a reconciliation mechanism
(like a controller) that periodically determines the actual state of the world, and adjusts
the out-of-band data modified by the admission webhook to reflect reality.
This is because a call to an admission webhook does not guarantee the admitted object will be persisted as is, or at all.
Later webhooks can modify the content of the object, a conflict could be encountered while writing to storage,
or the server could power off before persisting the object.
Additionally, webhooks with side effects must skip those side-effects when dryRun: true admission requests are handled.
A webhook must explicitly indicate that it will not have side-effects when run with dryRun,
or the dry-run request will not be sent to the webhook and the API request will fail instead.
Webhooks indicate whether they have side effects using the sideEffects field in the webhook configuration:
Unknown: no information is known about the side effects of calling the webhook.
If a request with dryRun: true would trigger a call to this webhook, the request will instead fail, and the webhook will not be called.
None: calling the webhook will have no side effects.
Some: calling the webhook will possibly have side effects.
If a request with the dry-run attribute would trigger a call to this webhook, the request will instead fail, and the webhook will not be called.
NoneOnDryRun: calling the webhook will possibly have side effects,
but if a request with dryRun: true is sent to the webhook, the webhook will suppress the side effects (the webhook is dryRun-aware).
Allowed values:
In admissionregistration.k8s.io/v1beta1, sideEffects may be set to Unknown, None, Some, or NoneOnDryRun, and defaults to Unknown.
In admissionregistration.k8s.io/v1, sideEffects must be set to None or NoneOnDryRun.
Here is an example of a validating webhook indicating it has no side effects on dryRun: true requests:
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:ValidatingWebhookConfiguration...webhooks:- name:my-webhook.example.comsideEffects:NoneOnDryRun...
Timeouts
Because webhooks add to API request latency, they should evaluate as quickly as possible.
timeoutSeconds allows configuring how long the API server should wait for a webhook to respond
before treating the call as a failure.
If the timeout expires before the webhook responds, the webhook call will be ignored or
the API call will be rejected based on the failure policy.
The timeout value must be between 1 and 30 seconds.
Here is an example of a validating webhook with a custom timeout of 2 seconds:
Admission webhooks created using admissionregistration.k8s.io/v1 default timeouts to 10 seconds.
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:ValidatingWebhookConfiguration...webhooks:- name:my-webhook.example.comtimeoutSeconds:2...
Admission webhooks created using admissionregistration.k8s.io/v1 default timeouts to 30 seconds.
Reinvocation policy
A single ordering of mutating admissions plugins (including webhooks) does not work for all cases
(see https://issue.k8s.io/64333 as an example). A mutating webhook can add a new sub-structure
to the object (like adding a container to a pod), and other mutating plugins which have already
run may have opinions on those new structures (like setting an imagePullPolicy on all containers).
In v1.15+, to allow mutating admission plugins to observe changes made by other plugins,
built-in mutating admission plugins are re-run if a mutating webhook modifies an object,
and mutating webhooks can specify a reinvocationPolicy to control whether they are reinvoked as well.
reinvocationPolicy may be set to Never or IfNeeded. It defaults to Never.
Never: the webhook must not be called more than once in a single admission evaluation
IfNeeded: the webhook may be called again as part of the admission evaluation if the object
being admitted is modified by other admission plugins after the initial webhook call.
The important elements to note are:
The number of additional invocations is not guaranteed to be exactly one.
If additional invocations result in further modifications to the object, webhooks are not guaranteed to be invoked again.
Webhooks that use this option may be reordered to minimize the number of additional invocations.
To validate an object after all mutations are guaranteed complete, use a validating admission webhook instead (recommended for webhooks with side-effects).
Here is an example of a mutating webhook opting into being re-invoked if later admission plugins modify the object:
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:MutatingWebhookConfiguration...webhooks:- name:my-webhook.example.comreinvocationPolicy:IfNeeded...
Mutating webhooks must be idempotent, able to successfully process an object they have already admitted
and potentially modified. This is true for all mutating admission webhooks, since any change they can make
in an object could already exist in the user-provided object, but it is essential for webhooks that opt into reinvocation.
Failure policy
failurePolicy defines how unrecognized errors and timeout errors from the admission webhook
are handled. Allowed values are Ignore or Fail.
Ignore means that an error calling the webhook is ignored and the API request is allowed to continue.
Fail means that an error calling the webhook causes the admission to fail and the API request to be rejected.
Here is a mutating webhook configured to reject an API request if errors are encountered calling the admission webhook:
Admission webhooks created using admissionregistration.k8s.io/v1 default failurePolicy to Fail.
# Deprecated in v1.16 in favor of admissionregistration.k8s.io/v1apiVersion:admissionregistration.k8s.io/v1beta1kind:MutatingWebhookConfiguration...webhooks:- name:my-webhook.example.comfailurePolicy:Fail...
Admission webhooks created using admissionregistration.k8s.io/v1beta1 default failurePolicy to Ignore.
Monitoring admission webhooks
The API server provides ways to monitor admission webhook behaviors. These
monitoring mechanisms help cluster admins to answer questions like:
Which mutating webhook mutated the object in a API request?
What change did the mutating webhook applied to the object?
Which webhooks are frequently rejecting API requests? What's the reason for a
rejection?
Mutating webhook auditing annotations
Sometimes it's useful to know which mutating webhook mutated the object in a API request, and what change did the
webhook apply.
In v1.16+, kube-apiserver performs auditing on each mutating webhook
invocation. Each invocation generates an auditing annotation
capturing if a request object is mutated by the invocation, and optionally generates an annotation capturing the applied
patch from the webhook admission response. The annotations are set in the audit event for given request on given stage of
its execution, which is then pre-processed according to a certain policy and written to a backend.
The audit level of a event determines which annotations get recorded:
At Metadata audit level or higher, an annotation with key
mutation.webhook.admission.k8s.io/round_{round idx}_index_{order idx} gets logged with JSON payload indicating
a webhook gets invoked for given request and whether it mutated the object or not.
For example, the following annotation gets recorded for a webhook being reinvoked. The webhook is ordered the third in the
mutating webhook chain, and didn't mutated the request object during the invocation.
# the audit event recorded{"kind": "Event","apiVersion": "audit.k8s.io/v1","annotations": {"mutation.webhook.admission.k8s.io/round_1_index_2": "{\"configuration\":\"my-mutating-webhook-configuration.example.com\",\"webhook\":\"my-webhook.example.com\",\"mutated\": false}"# other annotations...}# other fields...}
# the annotation value deserialized{"configuration": "my-mutating-webhook-configuration.example.com","webhook": "my-webhook.example.com","mutated": false}
The following annotation gets recorded for a webhook being invoked in the first round. The webhook is ordered the first in the mutating webhook chain, and mutated the request object during the invocation.
# the audit event recorded{"kind": "Event","apiVersion": "audit.k8s.io/v1","annotations": {"mutation.webhook.admission.k8s.io/round_0_index_0": "{\"configuration\":\"my-mutating-webhook-configuration.example.com\",\"webhook\":\"my-webhook-always-mutate.example.com\",\"mutated\": true}"# other annotations...}# other fields...}
# the annotation value deserialized{"configuration": "my-mutating-webhook-configuration.example.com","webhook": "my-webhook-always-mutate.example.com","mutated": true}
At Request audit level or higher, an annotation with key
patch.webhook.admission.k8s.io/round_{round idx}_index_{order idx} gets logged with JSON payload indicating
a webhook gets invoked for given request and what patch gets applied to the request object.
For example, the following annotation gets recorded for a webhook being reinvoked. The webhook is ordered the fourth in the
mutating webhook chain, and responded with a JSON patch which got applied to the request object.
# the audit event recorded{"kind": "Event","apiVersion": "audit.k8s.io/v1","annotations": {"patch.webhook.admission.k8s.io/round_1_index_3": "{\"configuration\":\"my-other-mutating-webhook-configuration.example.com\",\"webhook\":\"my-webhook-always-mutate.example.com\",\"patch\":[{\"op\":\"add\",\"path\":\"/data/mutation-stage\",\"value\":\"yes\"}],\"patchType\":\"JSONPatch\"}"# other annotations...}# other fields...}
# the annotation value deserialized{"configuration": "my-other-mutating-webhook-configuration.example.com","webhook": "my-webhook-always-mutate.example.com","patchType": "JSONPatch","patch": [{"op": "add","path": "/data/mutation-stage","value": "yes"}]}
Admission webhook metrics
Kube-apiserver exposes Prometheus metrics from the /metrics endpoint, which can be used for monitoring and
diagnosing API server status. The following metrics record status related to admission webhooks.
API server admission webhook rejection count
Sometimes it's useful to know which admission webhooks are frequently rejecting API requests, and the
reason for a rejection.
In v1.16+, kube-apiserver exposes a Prometheus counter metric recording admission webhook rejections. The
metrics are labelled to identify the causes of webhook rejection(s):
name: the name of the webhook that rejected a request.
operation: the operation type of the request, can be one of CREATE,
UPDATE, DELETE and CONNECT.
type: the admission webhook type, can be one of admit and validating.
error_type: identifies if an error occurred during the webhook invocation
that caused the rejection. Its value can be one of:
calling_webhook_error: unrecognized errors or timeout errors from the admission webhook happened and the
webhook's Failure policy is set to Fail.
no_error: no error occurred. The webhook rejected the request with allowed: false in the admission
response. The metrics label rejection_code records the .status.code set in the admission response.
apiserver_internal_error: an API server internal error happened.
rejection_code: the HTTP status code set in the admission response when a
webhook rejected a request.
Example of the rejection count metrics:
# HELP apiserver_admission_webhook_rejection_count [ALPHA] Admission webhook rejection count, identified by name and broken out for each admission type (validating or admit) and operation. Additional labels specify an error type (calling_webhook_error or apiserver_internal_error if an error occurred; no_error otherwise) and optionally a non-zero rejection code if the webhook rejects the request with an HTTP status code (honored by the apiserver when the code is greater or equal to 400). Codes greater than 600 are truncated to 600, to keep the metrics cardinality bounded.
# TYPE apiserver_admission_webhook_rejection_count counter
apiserver_admission_webhook_rejection_count{error_type="calling_webhook_error",name="always-timeout-webhook.example.com",operation="CREATE",rejection_code="0",type="validating"} 1
apiserver_admission_webhook_rejection_count{error_type="calling_webhook_error",name="invalid-admission-response-webhook.example.com",operation="CREATE",rejection_code="0",type="validating"} 1
apiserver_admission_webhook_rejection_count{error_type="no_error",name="deny-unwanted-configmap-data.example.com",operation="CREATE",rejection_code="400",type="validating"} 13
Best practices and warnings
Idempotence
An idempotent mutating admission webhook is able to successfully process an object it has already admitted
and potentially modified. The admission can be applied multiple times without changing the result beyond
the initial application.
Example of idempotent mutating admission webhooks:
For a CREATE pod request, set the field .spec.securityContext.runAsNonRoot of the
pod to true, to enforce security best practices.
For a CREATE pod request, if the field .spec.containers[].resources.limits
of a container is not set, set default resource limits.
For a CREATE pod request, inject a sidecar container with name foo-sidecar if no container with the name foo-sidecar already exists.
In the cases above, the webhook can be safely reinvoked, or admit an object that already has the fields set.
Example of non-idempotent mutating admission webhooks:
For a CREATE pod request, inject a sidecar container with name foo-sidecar
suffixed with the current timestamp (e.g. foo-sidecar-19700101-000000).
For a CREATE/UPDATE pod request, reject if the pod has label "env" set,
otherwise add an "env": "prod" label to the pod.
For a CREATE pod request, blindly append a sidecar container named
foo-sidecar without looking to see if there is already a foo-sidecar
container in the pod.
In the first case above, reinvoking the webhook can result in the same sidecar being injected multiple times to a pod, each time
with a different container name. Similarly the webhook can inject duplicated containers if the sidecar already exists in
a user-provided pod.
In the second case above, reinvoking the webhook will result in the webhook failing on its own output.
In the third case above, reinvoking the webhook will result in duplicated containers in the pod spec, which makes
the request invalid and rejected by the API server.
Intercepting all versions of an object
It is recommended that admission webhooks should always intercept all versions of an object by setting .webhooks[].matchPolicy
to Equivalent. It is also recommended that admission webhooks should prefer registering for stable versions of resources.
Failure to intercept all versions of an object can result in admission policies not being enforced for requests in certain
versions. See Matching requests: matchPolicy for examples.
Availability
It is recommended that admission webhooks should evaluate as quickly as possible (typically in milliseconds), since they add to API request latency.
It is encouraged to use a small timeout for webhooks. See Timeouts for more detail.
It is recommended that admission webhooks should leverage some format of load-balancing, to provide high availability and
performance benefits. If a webhook is running within the cluster, you can run multiple webhook backends behind a service
to leverage the load-balancing that service supports.
Guaranteeing the final state of the object is seen
Admission webhooks that need to guarantee they see the final state of the object in order to enforce policy
should use a validating admission webhook, since objects can be modified after being seen by mutating webhooks.
For example, a mutating admission webhook is configured to inject a sidecar container with name "foo-sidecar" on every
CREATE pod request. If the sidecar must be present, a validating admisson webhook should also be configured to intercept CREATE pod requests, and validate
that a container with name "foo-sidecar" with the expected configuration exists in the to-be-created object.
Avoiding deadlocks in self-hosted webhooks
A webhook running inside the cluster might cause deadlocks for its own deployment if it is configured
to intercept resources required to start its own pods.
For example, a mutating admission webhook is configured to admit CREATE pod requests only if a certain label is set in the
pod (e.g. "env": "prod"). The webhook server runs in a deployment which doesn't set the "env" label.
When a node that runs the webhook server pods
becomes unhealthy, the webhook deployment will try to reschedule the pods to another node. However the requests will
get rejected by the existing webhook server since the "env" label is unset, and the migration cannot happen.
It is recommended to exclude the namespace where your webhook is running with a namespaceSelector.
Side effects
It is recommended that admission webhooks should avoid side effects if possible, which means the webhooks operate only on the
content of the AdmissionReview sent to them, and do not make out-of-band changes. The .webhooks[].sideEffects field should
be set to None if a webhook doesn't have any side effect.
If side effects are required during the admission evaluation, they must be suppressed when processing an
AdmissionReview object with dryRun set to true, and the .webhooks[].sideEffects field should be
set to NoneOnDryRun. See Side effects for more detail.
Avoiding operating on the kube-system namespace
The kube-system namespace contains objects created by the Kubernetes system,
e.g. service accounts for the control plane components, pods like kube-dns.
Accidentally mutating or rejecting requests in the kube-system namespace may
cause the control plane components to stop functioning or introduce unknown behavior.
If your admission webhooks don't intend to modify the behavior of the Kubernetes control
plane, exclude the kube-system namespace from being intercepted using a
namespaceSelector.
Support for authorization and user accounts is planned but incomplete. Sometimes
incomplete features are referred to in order to better describe service accounts.
User accounts versus service accounts
Kubernetes distinguishes between the concept of a user account and a service account
for a number of reasons:
User accounts are for humans. Service accounts are for processes, which run
in pods.
User accounts are intended to be global. Names must be unique across all
namespaces of a cluster. Service accounts are namespaced.
Typically, a cluster's user accounts might be synced from a corporate
database, where new user account creation requires special privileges and is
tied to complex business processes. Service account creation is intended to be
more lightweight, allowing cluster users to create service accounts for
specific tasks by following the principle of least privilege.
Auditing considerations for humans and service accounts may differ.
A config bundle for a complex system may include definition of various service
accounts for components of that system. Because service accounts can be created
without many constraints and have namespaced names, such config is portable.
Service account automation
Three separate components cooperate to implement the automation around service accounts:
A ServiceAccount admission controller
A Token controller
A ServiceAccount controller
ServiceAccount Admission Controller
The modification of pods is implemented via a plugin
called an Admission Controller.
It is part of the API server.
It acts synchronously to modify pods as they are created or updated. When this plugin is active
(and it is by default on most distributions), then it does the following when a pod is created or modified:
If the pod does not have a ServiceAccount set, it sets the ServiceAccount to default.
It ensures that the ServiceAccount referenced by the pod exists, and otherwise rejects it.
If the pod does not contain any ImagePullSecrets, then ImagePullSecrets of the ServiceAccount are added to the pod.
It adds a volume to the pod which contains a token for API access.
It adds a volumeSource to each container of the pod mounted at /var/run/secrets/kubernetes.io/serviceaccount.
Bound Service Account Token Volume
FEATURE STATE:Kubernetes v1.21 [beta]
When the BoundServiceAccountTokenVolumefeature gate is enabled, the service account admission controller will
add a projected service account token volume instead of a secret volume. The service account token will expire after 1 hour by default or the pod is deleted. See more details about projected volume.
This feature depends on the RootCAConfigMap feature gate enabled which publish a "kube-root-ca.crt" ConfigMap to every namespace. This ConfigMap contains a CA bundle used for verifying connections to the kube-apiserver.
If the pod does not have a serviceAccountName set, it sets the
serviceAccountName to default.
It ensures that the serviceAccountName referenced by the pod exists, and
otherwise rejects it.
If the pod does not contain any imagePullSecrets, then imagePullSecrets
of the ServiceAccount referenced by serviceAccountName are added to the pod.
It adds a volume to the pod which contains a token for API access
if neither the ServiceAccount automountServiceAccountToken nor the Pod's
automountServiceAccountToken is set to false.
It adds a volumeSource to each container of the pod mounted at
/var/run/secrets/kubernetes.io/serviceaccount, if the previous step has
created a volume for ServiceAccount token.
You can migrate a service account volume to a projected volume when
the BoundServiceAccountTokenVolume feature gate is enabled.
The service account token will expire after 1 hour or the pod is deleted. See
more details about
projected volume.
Token Controller
TokenController runs as part of kube-controller-manager. It acts asynchronously. It:
watches ServiceAccount creation and creates a corresponding
ServiceAccount token Secret to allow API access.
watches ServiceAccount deletion and deletes all corresponding ServiceAccount
token Secrets.
watches ServiceAccount token Secret addition, and ensures the referenced
ServiceAccount exists, and adds a token to the Secret if needed.
watches Secret deletion and removes a reference from the corresponding
ServiceAccount if needed.
You must pass a service account private key file to the token controller in
the kube-controller-manager using the --service-account-private-key-file
flag. The private key is used to sign generated service account tokens.
Similarly, you must pass the corresponding public key to the kube-apiserver
using the --service-account-key-file flag. The public key will be used to
verify the tokens during authentication.
To create additional API tokens
A controller loop ensures a Secret with an API token exists for each
ServiceAccount. To create additional API tokens for a ServiceAccount, create a
Secret of type kubernetes.io/service-account-token with an annotation
referencing the ServiceAccount, and the controller will update it with a
generated token:
Below is a sample configuration for such a Secret:
To delete/invalidate a ServiceAccount token Secret
kubectl delete secret mysecretname
ServiceAccount controller
A ServiceAccount controller manages the ServiceAccounts inside namespaces, and
ensures a ServiceAccount named "default" exists in every active namespace.
3.7 - Authorization Overview
Learn more about Kubernetes authorization, including details about creating
policies using the supported authorization modules.
In Kubernetes, you must be authenticated (logged in) before your request can be
authorized (granted permission to access). For information about authentication,
see Controlling Access to the Kubernetes API.
Kubernetes expects attributes that are common to REST API requests. This means
that Kubernetes authorization works with existing organization-wide or
cloud-provider-wide access control systems which may handle other APIs besides
the Kubernetes API.
Determine Whether a Request is Allowed or Denied
Kubernetes authorizes API requests using the API server. It evaluates all of the
request attributes against all policies and allows or denies the request. All
parts of an API request must be allowed by some policy in order to proceed. This
means that permissions are denied by default.
(Although Kubernetes uses the API server, access controls and policies that
depend on specific fields of specific kinds of objects are handled by Admission
Controllers.)
When multiple authorization modules are configured, each is checked in sequence.
If any authorizer approves or denies a request, that decision is immediately
returned and no other authorizer is consulted. If all modules have no opinion on
the request, then the request is denied. A deny returns an HTTP status code 403.
Review Your Request Attributes
Kubernetes reviews only the following API request attributes:
user - The user string provided during authentication.
group - The list of group names to which the authenticated user belongs.
extra - A map of arbitrary string keys to string values, provided by the authentication layer.
API - Indicates whether the request is for an API resource.
Request path - Path to miscellaneous non-resource endpoints like /api or /healthz.
API request verb - API verbs like get, list, create, update, patch, watch, delete, and deletecollection are used for resource requests. To determine the request verb for a resource API endpoint, see Determine the request verb.
HTTP request verb - Lowercased HTTP methods like get, post, put, and delete are used for non-resource requests.
Resource - The ID or name of the resource that is being accessed (for resource requests only) -- For resource requests using get, update, patch, and delete verbs, you must provide the resource name.
Subresource - The subresource that is being accessed (for resource requests only).
Namespace - The namespace of the object that is being accessed (for namespaced resource requests only).
API group - The API Group being accessed (for resource requests only). An empty string designates the coreAPI group.
Determine the Request Verb
Non-resource requests
Requests to endpoints other than /api/v1/... or /apis/<group>/<version>/...
are considered "non-resource requests", and use the lower-cased HTTP method of the request as the verb.
For example, a GET request to endpoints like /api or /healthz would use get as the verb.
Resource requests
To determine the request verb for a resource API endpoint, review the HTTP verb
used and whether or not the request acts on an individual resource or a
collection of resources:
HTTP verb
request verb
POST
create
GET, HEAD
get (for individual resources), list (for collections, including full object content), watch (for watching an individual resource or collection of resources)
impersonate verb on users, groups, and serviceaccounts in the core API group, and the userextras in the authentication.k8s.io API group.
Authorization Modes
The Kubernetes API server may authorize a request using one of several authorization modes:
Node - A special-purpose authorization mode that grants permissions to kubelets based on the pods they are scheduled to run. To learn more about using the Node authorization mode, see Node Authorization.
ABAC - Attribute-based access control (ABAC) defines an access control paradigm whereby access rights are granted to users through the use of policies which combine attributes together. The policies can use any type of attributes (user attributes, resource attributes, object, environment attributes, etc). To learn more about using the ABAC mode, see ABAC Mode.
RBAC - Role-based access control (RBAC) is a method of regulating access to computer or network resources based on the roles of individual users within an enterprise. In this context, access is the ability of an individual user to perform a specific task, such as view, create, or modify a file. To learn more about using the RBAC mode, see RBAC Mode
When specified RBAC (Role-Based Access Control) uses the rbac.authorization.k8s.io API group to drive authorization decisions, allowing admins to dynamically configure permission policies through the Kubernetes API.
To enable RBAC, start the apiserver with --authorization-mode=RBAC.
Webhook - A WebHook is an HTTP callback: an HTTP POST that occurs when something happens; a simple event-notification via HTTP POST. A web application implementing WebHooks will POST a message to a URL when certain things happen. To learn more about using the Webhook mode, see Webhook Mode.
Checking API Access
kubectl provides the auth can-i subcommand for quickly querying the API authorization layer.
The command uses the SelfSubjectAccessReview API to determine if the current user can perform
a given action, and works regardless of the authorization mode used.
kubectl auth can-i create deployments --namespace dev
Administrators can combine this with user impersonation
to determine what action other users can perform.
kubectl auth can-i list secrets --namespace dev --as dave
The output is similar to this:
no
SelfSubjectAccessReview is part of the authorization.k8s.io API group, which
exposes the API server authorization to external services. Other resources in
this group include:
SubjectAccessReview - Access review for any user, not only the current one. Useful for delegating authorization decisions to the API server. For example, the kubelet and extension API servers use this to determine user access to their own APIs.
LocalSubjectAccessReview - Like SubjectAccessReview but restricted to a specific namespace.
SelfSubjectRulesReview - A review which returns the set of actions a user can perform within a namespace. Useful for users to quickly summarize their own access, or for UIs to hide/show actions.
These APIs can be queried by creating normal Kubernetes resources, where the response "status"
field of the returned object is the result of the query.
You must include a flag in your policy to indicate which authorization module
your policies include:
The following flags can be used:
--authorization-mode=ABAC Attribute-Based Access Control (ABAC) mode allows you to configure policies using local files.
--authorization-mode=RBAC Role-based access control (RBAC) mode allows you to create and store policies using the Kubernetes API.
--authorization-mode=Webhook WebHook is an HTTP callback mode that allows you to manage authorization using a remote REST endpoint.
--authorization-mode=Node Node authorization is a special-purpose authorization mode that specifically authorizes API requests made by kubelets.
--authorization-mode=AlwaysDeny This flag blocks all requests. Use this flag only for testing.
--authorization-mode=AlwaysAllow This flag allows all requests. Use this flag only if you do not require authorization for your API requests.
You can choose more than one authorization module. Modules are checked in order
so an earlier module has higher priority to allow or deny a request.
Privilege escalation via pod creation
Users who have the ability to create pods in a namespace can potentially
escalate their privileges within that namespace. They can create pods that
access their privileges within that namespace. They can create pods that access
secrets the user cannot themselves read, or that run under a service account
with different/greater permissions.
Caution: System administrators, use care when granting access to pod creation. A user
granted permission to create pods (or controllers that create pods) in the
namespace can: read all secrets in the namespace; read all config maps in the
namespace; and impersonate any service account in the namespace and take any
action the account could take. This applies regardless of authorization mode.
Role-based access control (RBAC) is a method of regulating access to computer or
network resources based on the roles of individual users within your organization.
RBAC authorization uses the rbac.authorization.k8s.ioAPI group to drive authorization
decisions, allowing you to dynamically configure policies through the Kubernetes API.
To enable RBAC, start the API server
with the --authorization-mode flag set to a comma-separated list that includes RBAC;
for example:
The RBAC API declares four kinds of Kubernetes object: Role, ClusterRole,
RoleBinding and ClusterRoleBinding. You can
describe objects,
or amend them, using tools such as kubectl, just like any other Kubernetes object.
Caution: These objects, by design, impose access restrictions. If you are making changes
to a cluster as you learn, see
privilege escalation prevention and bootstrapping
to understand how those restrictions can prevent you making some changes.
Role and ClusterRole
An RBAC Role or ClusterRole contains rules that represent a set of permissions.
Permissions are purely additive (there are no "deny" rules).
A Role always sets permissions within a particular namespace;
when you create a Role, you have to specify the namespace it belongs in.
ClusterRole, by contrast, is a non-namespaced resource. The resources have different names (Role
and ClusterRole) because a Kubernetes object always has to be either namespaced or not namespaced;
it can't be both.
ClusterRoles have several uses. You can use a ClusterRole to:
define permissions on namespaced resources and be granted within individual namespace(s)
define permissions on namespaced resources and be granted across all namespaces
define permissions on cluster-scoped resources
If you want to define a role within a namespace, use a Role; if you want to define
a role cluster-wide, use a ClusterRole.
Role example
Here's an example Role in the "default" namespace that can be used to grant read access to
pods:
apiVersion:rbac.authorization.k8s.io/v1kind:Rolemetadata:namespace:defaultname:pod-readerrules:- apiGroups:[""]# "" indicates the core API groupresources:["pods"]verbs:["get","watch","list"]
ClusterRole example
A ClusterRole can be used to grant the same permissions as a Role.
Because ClusterRoles are cluster-scoped, you can also use them to grant access to:
namespaced resources (like Pods), across all namespaces
For example: you can use a ClusterRole to allow a particular user to run
kubectl get pods --all-namespaces
Here is an example of a ClusterRole that can be used to grant read access to
secrets in any particular namespace,
or across all namespaces (depending on how it is bound):
apiVersion:rbac.authorization.k8s.io/v1kind:ClusterRolemetadata:# "namespace" omitted since ClusterRoles are not namespacedname:secret-readerrules:- apiGroups:[""]## at the HTTP level, the name of the resource for accessing Secret# objects is "secrets"resources:["secrets"]verbs:["get","watch","list"]
The name of a Role or a ClusterRole object must be a valid
path segment name.
RoleBinding and ClusterRoleBinding
A role binding grants the permissions defined in a role to a user or set of users.
It holds a list of subjects (users, groups, or service accounts), and a reference to the
role being granted.
A RoleBinding grants permissions within a specific namespace whereas a ClusterRoleBinding
grants that access cluster-wide.
A RoleBinding may reference any Role in the same namespace. Alternatively, a RoleBinding
can reference a ClusterRole and bind that ClusterRole to the namespace of the RoleBinding.
If you want to bind a ClusterRole to all the namespaces in your cluster, you use a
ClusterRoleBinding.
The name of a RoleBinding or ClusterRoleBinding object must be a valid
path segment name.
RoleBinding examples
Here is an example of a RoleBinding that grants the "pod-reader" Role to the user "jane"
within the "default" namespace.
This allows "jane" to read pods in the "default" namespace.
apiVersion:rbac.authorization.k8s.io/v1# This role binding allows "jane" to read pods in the "default" namespace.# You need to already have a Role named "pod-reader" in that namespace.kind:RoleBindingmetadata:name:read-podsnamespace:defaultsubjects:# You can specify more than one "subject"- kind:Username:jane# "name" is case sensitiveapiGroup:rbac.authorization.k8s.ioroleRef:# "roleRef" specifies the binding to a Role / ClusterRolekind:Role#this must be Role or ClusterRolename:pod-reader# this must match the name of the Role or ClusterRole you wish to bind toapiGroup:rbac.authorization.k8s.io
A RoleBinding can also reference a ClusterRole to grant the permissions defined in that
ClusterRole to resources inside the RoleBinding's namespace. This kind of reference
lets you define a set of common roles across your cluster, then reuse them within
multiple namespaces.
For instance, even though the following RoleBinding refers to a ClusterRole,
"dave" (the subject, case sensitive) will only be able to read Secrets in the "development"
namespace, because the RoleBinding's namespace (in its metadata) is "development".
apiVersion:rbac.authorization.k8s.io/v1# This role binding allows "dave" to read secrets in the "development" namespace.# You need to already have a ClusterRole named "secret-reader".kind:RoleBindingmetadata:name:read-secrets## The namespace of the RoleBinding determines where the permissions are granted.# This only grants permissions within the "development" namespace.namespace:developmentsubjects:- kind:Username:dave# Name is case sensitiveapiGroup:rbac.authorization.k8s.ioroleRef:kind:ClusterRolename:secret-readerapiGroup:rbac.authorization.k8s.io
ClusterRoleBinding example
To grant permissions across a whole cluster, you can use a ClusterRoleBinding.
The following ClusterRoleBinding allows any user in the group "manager" to read
secrets in any namespace.
apiVersion:rbac.authorization.k8s.io/v1# This cluster role binding allows anyone in the "manager" group to read secrets in any namespace.kind:ClusterRoleBindingmetadata:name:read-secrets-globalsubjects:- kind:Groupname:manager# Name is case sensitiveapiGroup:rbac.authorization.k8s.ioroleRef:kind:ClusterRolename:secret-readerapiGroup:rbac.authorization.k8s.io
After you create a binding, you cannot change the Role or ClusterRole that it refers to.
If you try to change a binding's roleRef, you get a validation error. If you do want
to change the roleRef for a binding, you need to remove the binding object and create
a replacement.
There are two reasons for this restriction:
Making roleRef immutable allows granting someone update permission on an existing binding
object, so that they can manage the list of subjects, without being able to change
the role that is granted to those subjects.
A binding to a different role is a fundamentally different binding.
Requiring a binding to be deleted/recreated in order to change the roleRef
ensures the full list of subjects in the binding is intended to be granted
the new role (as opposed to enabling or accidentally modifying only the roleRef
without verifying all of the existing subjects should be given the new role's
permissions).
The kubectl auth reconcile command-line utility creates or updates a manifest file containing RBAC objects,
and handles deleting and recreating binding objects if required to change the role they refer to.
See command usage and examples for more information.
Referring to resources
In the Kubernetes API, most resources are represented and accessed using a string representation of
their object name, such as pods for a Pod. RBAC refers to resources using exactly the same
name that appears in the URL for the relevant API endpoint.
Some Kubernetes APIs involve a
subresource, such as the logs for a Pod. A request for a Pod's logs looks like:
GET /api/v1/namespaces/{namespace}/pods/{name}/log
In this case, pods is the namespaced resource for Pod resources, and log is a
subresource of pods. To represent this in an RBAC role, use a slash (/) to
delimit the resource and subresource. To allow a subject to read pods and
also access the log subresource for each of those Pods, you write:
You can also refer to resources by name for certain requests through the resourceNames list.
When specified, requests can be restricted to individual instances of a resource.
Here is an example that restricts its subject to only get or update a
ConfigMap named my-configmap:
apiVersion:rbac.authorization.k8s.io/v1kind:Rolemetadata:namespace:defaultname:configmap-updaterrules:- apiGroups:[""]## at the HTTP level, the name of the resource for accessing ConfigMap# objects is "configmaps"resources:["configmaps"]resourceNames:["my-configmap"]verbs:["update","get"]
Note: You cannot restrict create or deletecollection requests by resourceName. For create, this
limitation is because the object name is not known at authorization time.
Aggregated ClusterRoles
You can aggregate several ClusterRoles into one combined ClusterRole.
A controller, running as part of the cluster control plane, watches for ClusterRole
objects with an aggregationRule set. The aggregationRule defines a label
selector that the controller
uses to match other ClusterRole objects that should be combined into the rules
field of this one.
Here is an example aggregated ClusterRole:
apiVersion:rbac.authorization.k8s.io/v1kind:ClusterRolemetadata:name:monitoringaggregationRule:clusterRoleSelectors:- matchLabels:rbac.example.com/aggregate-to-monitoring:"true"rules:[]# The control plane automatically fills in the rules
If you create a new ClusterRole that matches the label selector of an existing aggregated ClusterRole,
that change triggers adding the new rules into the aggregated ClusterRole.
Here is an example that adds rules to the "monitoring" ClusterRole, by creating another
ClusterRole labeled rbac.example.com/aggregate-to-monitoring: true.
apiVersion:rbac.authorization.k8s.io/v1kind:ClusterRolemetadata:name:monitoring-endpointslabels:rbac.example.com/aggregate-to-monitoring:"true"# When you create the "monitoring-endpoints" ClusterRole,# the rules below will be added to the "monitoring" ClusterRole.rules:- apiGroups:[""]resources:["services","endpoints","pods"]verbs:["get","list","watch"]
The default user-facing roles use ClusterRole aggregation. This lets you,
as a cluster administrator, include rules for custom resources, such as those served by
CustomResourceDefinitions
or aggregated API servers, to extend the default roles.
For example: the following ClusterRoles let the "admin" and "edit" default roles manage the custom resource
named CronTab, whereas the "view" role can perform only read actions on CronTab resources.
You can assume that CronTab objects are named "crontabs" in URLs as seen by the API server.
apiVersion:rbac.authorization.k8s.io/v1kind:ClusterRolemetadata:name:aggregate-cron-tabs-editlabels:# Add these permissions to the "admin" and "edit" default roles.rbac.authorization.k8s.io/aggregate-to-admin:"true"rbac.authorization.k8s.io/aggregate-to-edit:"true"rules:- apiGroups:["stable.example.com"]resources:["crontabs"]verbs:["get","list","watch","create","update","patch","delete"]---kind:ClusterRoleapiVersion:rbac.authorization.k8s.io/v1metadata:name:aggregate-cron-tabs-viewlabels:# Add these permissions to the "view" default role.rbac.authorization.k8s.io/aggregate-to-view:"true"rules:- apiGroups:["stable.example.com"]resources:["crontabs"]verbs:["get","list","watch"]
Role examples
The following examples are excerpts from Role or ClusterRole objects, showing only
the rules section.
Allow reading "pods" resources in the core
API Group:
rules:- apiGroups:[""]## at the HTTP level, the name of the resource for accessing Pod# objects is "pods"resources:["pods"]verbs:["get","list","watch"]
Allow reading/writing Deployments (at the HTTP level: objects with "deployments"
in the resource part of their URL) in both the "extensions" and "apps" API groups:
rules:- apiGroups:["extensions","apps"]## at the HTTP level, the name of the resource for accessing Deployment# objects is "deployments"resources:["deployments"]verbs:["get","list","watch","create","update","patch","delete"]
Allow reading Pods in the core API group, as well as reading or writing Job
resources in the "batch" or "extensions" API groups:
rules:- apiGroups:[""]## at the HTTP level, the name of the resource for accessing Pod# objects is "pods"resources:["pods"]verbs:["get","list","watch"]- apiGroups:["batch","extensions"]## at the HTTP level, the name of the resource for accessing Job# objects is "jobs"resources:["jobs"]verbs:["get","list","watch","create","update","patch","delete"]
Allow reading a ConfigMap named "my-config" (must be bound with a
RoleBinding to limit to a single ConfigMap in a single namespace):
rules:- apiGroups:[""]## at the HTTP level, the name of the resource for accessing ConfigMap# objects is "configmaps"resources:["configmaps"]resourceNames:["my-config"]verbs:["get"]
Allow reading the resource "nodes" in the core group (because a
Node is cluster-scoped, this must be in a ClusterRole bound with a
ClusterRoleBinding to be effective):
rules:- apiGroups:[""]## at the HTTP level, the name of the resource for accessing Node# objects is "nodes"resources:["nodes"]verbs:["get","list","watch"]
Allow GET and POST requests to the non-resource endpoint /healthz and
all subpaths (must be in a ClusterRole bound with a ClusterRoleBinding
to be effective):
rules:- nonResourceURLs:["/healthz","/healthz/*"]# '*' in a nonResourceURL is a suffix glob matchverbs:["get","post"]
Referring to subjects
A RoleBinding or ClusterRoleBinding binds a role to subjects.
Subjects can be groups, users or
ServiceAccounts.
Kubernetes represents usernames as strings.
These can be: plain names, such as "alice"; email-style names, like "bob@example.com";
or numeric user IDs represented as a string. It is up to you as a cluster administrator
to configure the authentication modules
so that authentication produces usernames in the format you want.
Caution: The prefix system: is reserved for Kubernetes system use, so you should ensure
that you don't have users or groups with names that start with system: by
accident.
Other than this special prefix, the RBAC authorization system does not require any format
for usernames.
In Kubernetes, Authenticator modules provide group information.
Groups, like users, are represented as strings, and that string has no format requirements,
other than that the prefix system: is reserved.
ServiceAccounts have names prefixed
with system:serviceaccount:, and belong to groups that have names prefixed with system:serviceaccounts:.
Note:
system:serviceaccount: (singular) is the prefix for service account usernames.
system:serviceaccounts: (plural) is the prefix for service account groups.
RoleBinding examples
The following examples are RoleBinding excerpts that only
show the subjects section.
API servers create a set of default ClusterRole and ClusterRoleBinding objects.
Many of these are system: prefixed, which indicates that the resource is directly
managed by the cluster control plane.
All of the default ClusterRoles and ClusterRoleBindings are labeled with kubernetes.io/bootstrapping=rbac-defaults.
Caution: Take care when modifying ClusterRoles and ClusterRoleBindings with names
that have a system: prefix.
Modifications to these resources can result in non-functional clusters.
Auto-reconciliation
At each start-up, the API server updates default cluster roles with any missing permissions,
and updates default cluster role bindings with any missing subjects.
This allows the cluster to repair accidental modifications, and helps to keep roles and role bindings
up-to-date as permissions and subjects change in new Kubernetes releases.
To opt out of this reconciliation, set the rbac.authorization.kubernetes.io/autoupdate
annotation on a default cluster role or rolebinding to false.
Be aware that missing default permissions and subjects can result in non-functional clusters.
Auto-reconciliation is enabled by default if the RBAC authorizer is active.
API discovery roles
Default role bindings authorize unauthenticated and authenticated users to read API information that is deemed safe to be publicly accessible (including CustomResourceDefinitions). To disable anonymous unauthenticated access, add --anonymous-auth=false to the API server configuration.
To view the configuration of these roles via kubectl run:
kubectl get clusterroles system:discovery -o yaml
Note: If you edit that ClusterRole, your changes will be overwritten on API server restart
via auto-reconciliation. To avoid that overwriting,
either do not manually edit the role, or disable auto-reconciliation.
Kubernetes RBAC API discovery roles
Default ClusterRole
Default ClusterRoleBinding
Description
system:basic-user
system:authenticated group
Allows a user read-only access to basic information about themselves. Prior to v1.14, this role was also bound to system:unauthenticated by default.
system:discovery
system:authenticated group
Allows read-only access to API discovery endpoints needed to discover and negotiate an API level. Prior to v1.14, this role was also bound to system:unauthenticated by default.
system:public-info-viewer
system:authenticated and system:unauthenticated groups
Allows read-only access to non-sensitive information about the cluster. Introduced in Kubernetes v1.14.
User-facing roles
Some of the default ClusterRoles are not system: prefixed. These are intended to be user-facing roles.
They include super-user roles (cluster-admin), roles intended to be granted cluster-wide
using ClusterRoleBindings, and roles intended to be granted within particular
namespaces using RoleBindings (admin, edit, view).
User-facing ClusterRoles use ClusterRole aggregation to allow admins to include
rules for custom resources on these ClusterRoles. To add rules to the admin, edit, or view roles, create
a ClusterRole with one or more of the following labels:
Allows super-user access to perform any action on any resource.
When used in a ClusterRoleBinding, it gives full control over every resource in the cluster and in all namespaces.
When used in a RoleBinding, it gives full control over every resource in the role binding's namespace, including the namespace itself.
admin
None
Allows admin access, intended to be granted within a namespace using a RoleBinding.
If used in a RoleBinding, allows read/write access to most resources in a namespace,
including the ability to create roles and role bindings within the namespace.
This role does not allow write access to resource quota or to the namespace itself.
edit
None
Allows read/write access to most objects in a namespace.
This role does not allow viewing or modifying roles or role bindings.
However, this role allows accessing Secrets and running Pods as any ServiceAccount in
the namespace, so it can be used to gain the API access levels of any ServiceAccount in
the namespace.
view
None
Allows read-only access to see most objects in a namespace.
It does not allow viewing roles or role bindings.
This role does not allow viewing Secrets, since reading
the contents of Secrets enables access to ServiceAccount credentials
in the namespace, which would allow API access as any ServiceAccount
in the namespace (a form of privilege escalation).
Core component roles
Default ClusterRole
Default ClusterRoleBinding
Description
system:kube-scheduler
system:kube-scheduler user
Allows access to the resources required by the scheduler component.
system:volume-scheduler
system:kube-scheduler user
Allows access to the volume resources required by the kube-scheduler component.
system:kube-controller-manager
system:kube-controller-manager user
Allows access to the resources required by the controller manager component.
The permissions required by individual controllers are detailed in the controller roles.
system:node
None
Allows access to resources required by the kubelet, including read access to all secrets, and write access to all pod status objects.
You should use the Node authorizer and NodeRestriction admission plugin instead of the system:node role, and allow granting API access to kubelets based on the Pods scheduled to run on them.
The system:node role only exists for compatibility with Kubernetes clusters upgraded from versions prior to v1.8.
system:node-proxier
system:kube-proxy user
Allows access to the resources required by the kube-proxy component.
Other component roles
Default ClusterRole
Default ClusterRoleBinding
Description
system:auth-delegator
None
Allows delegated authentication and authorization checks.
This is commonly used by add-on API servers for unified authentication and authorization.
Allows read access to control-plane monitoring endpoints (i.e. kube-apiserver liveness and readiness endpoints (/healthz, /livez, /readyz), the individual health-check endpoints (/healthz/*, /livez/*, /readyz/*), and /metrics). Note that individual health check endpoints and the metric endpoint may expose sensitive information.
Roles for built-in controllers
The Kubernetes controller manager runs
controllers that are built in to the Kubernetes
control plane.
When invoked with --use-service-account-credentials, kube-controller-manager starts each controller
using a separate service account.
Corresponding roles exist for each built-in controller, prefixed with system:controller:.
If the controller manager is not started with --use-service-account-credentials, it runs all control loops
using its own credential, which must be granted all the relevant roles.
These roles include:
The RBAC API prevents users from escalating privileges by editing roles or role bindings.
Because this is enforced at the API level, it applies even when the RBAC authorizer is not in use.
Restrictions on role creation or update
You can only create/update a role if at least one of the following things is true:
You already have all the permissions contained in the role, at the same scope as the object being modified
(cluster-wide for a ClusterRole, within the same namespace or cluster-wide for a Role).
You are granted explicit permission to perform the escalate verb on the roles or clusterroles resource in the rbac.authorization.k8s.io API group.
For example, if user-1 does not have the ability to list Secrets cluster-wide, they cannot create a ClusterRole
containing that permission. To allow a user to create/update roles:
Grant them a role that allows them to create/update Role or ClusterRole objects, as desired.
Grant them permission to include specific permissions in the roles they create/update:
implicitly, by giving them those permissions (if they attempt to create or modify a Role or ClusterRole with permissions they themselves have not been granted, the API request will be forbidden)
or explicitly allow specifying any permission in a Role or ClusterRole by giving them permission to perform the escalate verb on roles or clusterroles resources in the rbac.authorization.k8s.io API group
Restrictions on role binding creation or update
You can only create/update a role binding if you already have all the permissions contained in the referenced role
(at the same scope as the role binding) or if you have been authorized to perform the bind verb on the referenced role.
For example, if user-1 does not have the ability to list Secrets cluster-wide, they cannot create a ClusterRoleBinding
to a role that grants that permission. To allow a user to create/update role bindings:
Grant them a role that allows them to create/update RoleBinding or ClusterRoleBinding objects, as desired.
Grant them permissions needed to bind a particular role:
implicitly, by giving them the permissions contained in the role.
explicitly, by giving them permission to perform the bind verb on the particular Role (or ClusterRole).
For example, this ClusterRole and RoleBinding would allow user-1 to grant other users the admin, edit, and view roles in the namespace user-1-namespace:
apiVersion:rbac.authorization.k8s.io/v1kind:ClusterRolemetadata:name:role-grantorrules:- apiGroups:["rbac.authorization.k8s.io"]resources:["rolebindings"]verbs:["create"]- apiGroups:["rbac.authorization.k8s.io"]resources:["clusterroles"]verbs:["bind"]# omit resourceNames to allow binding any ClusterRoleresourceNames:["admin","edit","view"]---apiVersion:rbac.authorization.k8s.io/v1kind:RoleBindingmetadata:name:role-grantor-bindingnamespace:user-1-namespaceroleRef:apiGroup:rbac.authorization.k8s.iokind:ClusterRolename:role-grantorsubjects:- apiGroup:rbac.authorization.k8s.iokind:Username:user-1
When bootstrapping the first roles and role bindings, it is necessary for the initial user to grant permissions they do not yet have.
To bootstrap initial roles and role bindings:
Use a credential with the "system:masters" group, which is bound to the "cluster-admin" super-user role by the default bindings.
If your API server runs with the insecure port enabled (--insecure-port), you can also make API calls via that port, which does not enforce authentication or authorization.
Command-line utilities
kubectl create role
Creates a Role object defining permissions within a single namespace. Examples:
Create a Role named "pod-reader" that allows users to perform get, watch and list on pods:
kubectl create role pod-reader --verb=get --verb=list --verb=watch --resource=pods
Create a Role named "pod-reader" with resourceNames specified:
kubectl create role pod-reader --verb=get --resource=pods --resource-name=readablepod --resource-name=anotherpod
Create a Role named "foo" with apiGroups specified:
kubectl create role foo --verb=get,list,watch --resource=replicasets.apps
Create a Role named "foo" with subresource permissions:
kubectl create role foo --verb=get,list,watch --resource=pods,pods/status
Create a Role named "my-component-lease-holder" with permissions to get/update a resource with a specific name:
kubectl create role my-component-lease-holder --verb=get,list,watch,update --resource=lease --resource-name=my-component
kubectl create clusterrole
Creates a ClusterRole. Examples:
Create a ClusterRole named "pod-reader" that allows user to perform get, watch and list on pods:
Default RBAC policies grant scoped permissions to control-plane components, nodes,
and controllers, but grant no permissions to service accounts outside the kube-system namespace
(beyond discovery permissions given to all authenticated users).
This allows you to grant particular roles to particular ServiceAccounts as needed.
Fine-grained role bindings provide greater security, but require more effort to administrate.
Broader grants can give unnecessary (and potentially escalating) API access to
ServiceAccounts, but are easier to administrate.
In order from most secure to least secure, the approaches are:
Grant a role to an application-specific service account (best practice)
This requires the application to specify a serviceAccountName in its pod spec,
and for the service account to be created (via the API, application manifest, kubectl create serviceaccount, etc.).
For example, grant read-only permission within "my-namespace" to the "my-sa" service account:
Many add-ons run as the
"default" service account in the kube-system namespace.
To allow those add-ons to run with super-user access, grant cluster-admin
permissions to the "default" service account in the kube-system namespace.
Caution: Enabling this means the kube-system namespace contains Secrets
that grant super-user access to your cluster's API.
Grant a role to all service accounts in a namespace
If you want all applications in a namespace to have a role, no matter what service account they use,
you can grant a role to the service account group for that namespace.
For example, grant read-only permission within "my-namespace" to all service accounts in that namespace:
Grant super-user access to all service accounts cluster-wide (strongly discouraged)
If you don't care about partitioning permissions at all, you can grant super-user access to all service accounts.
Warning: This allows any application full access to your cluster, and also grants
any user with read access to Secrets (or the ability to create any pod)
full access to your cluster.
Clusters that originally ran older Kubernetes versions often used
permissive ABAC policies, including granting full API access to all
service accounts.
Default RBAC policies grant scoped permissions to control-plane components, nodes,
and controllers, but grant no permissions to service accounts outside the kube-system namespace
(beyond discovery permissions given to all authenticated users).
While far more secure, this can be disruptive to existing workloads expecting to automatically receive API permissions.
Here are two approaches for managing this transition:
Parallel authorizers
Run both the RBAC and ABAC authorizers, and specify a policy file that contains
the legacy ABAC policy:
To explain that first command line option in detail: if earlier authorizers, such as Node,
deny a request, then the RBAC authorizer attempts to authorize the API request. If RBAC
also denies that API request, the ABAC authorizer is then run. This means that any request
allowed by either the RBAC or ABAC policies is allowed.
When the kube-apiserver is run with a log level of 5 or higher for the RBAC component
(--vmodule=rbac*=5 or --v=5), you can see RBAC denials in the API server log
(prefixed with RBAC).
You can use that information to determine which roles need to be granted to which users, groups, or service accounts.
Once you have granted roles to service accounts and workloads
are running with no RBAC denial messages in the server logs, you can remove the ABAC authorizer.
Permissive RBAC permissions
You can replicate a permissive ABAC policy using RBAC role bindings.
Warning:
The following policy allows ALL service accounts to act as cluster administrators.
Any application running in a container receives service account credentials automatically,
and could perform any action against the API, including viewing secrets and modifying permissions.
This is not a recommended policy.
After you have transitioned to use RBAC, you should adjust the access controls
for your cluster to ensure that these meet your information security needs.
3.9 - Using ABAC Authorization
Attribute-based access control (ABAC) defines an access control paradigm whereby access rights are granted to users through the use of policies which combine attributes together.
Policy File Format
To enable ABAC mode, specify --authorization-policy-file=SOME_FILENAME and --authorization-mode=ABAC on startup.
The file format is one JSON object per line. There
should be no enclosing list or map, only one map per line.
Each line is a "policy object", where each such object is a map with the following
properties:
Versioning properties:
apiVersion, type string; valid values are "abac.authorization.kubernetes.io/v1beta1". Allows versioning and conversion of the policy format.
kind, type string: valid values are "Policy". Allows versioning and conversion of the policy format.
spec property set to a map with the following properties:
Subject-matching properties:
user, type string; the user-string from --token-auth-file. If you specify user, it must match the username of the authenticated user.
group, type string; if you specify group, it must match one of the groups of the authenticated user. system:authenticated matches all authenticated requests. system:unauthenticated matches all unauthenticated requests.
Resource-matching properties:
apiGroup, type string; an API group.
Ex: extensions
Wildcard: * matches all API groups.
namespace, type string; a namespace.
Ex: kube-system
Wildcard: * matches all resource requests.
resource, type string; a resource type
Ex: pods
Wildcard: * matches all resource requests.
Non-resource-matching properties:
nonResourcePath, type string; non-resource request paths.
Ex: /version or /apis
Wildcard:
* matches all non-resource requests.
/foo/* matches all subpaths of /foo/.
readonly, type boolean, when true, means that the Resource-matching policy only applies to get, list, and watch operations, Non-resource-matching policy only applies to get operation.
Note:
An unset property is the same as a property set to the zero value for its type
(e.g. empty string, 0, false). However, unset should be preferred for
readability.
In the future, policies may be expressed in a JSON format, and managed via a
REST interface.
Authorization Algorithm
A request has attributes which correspond to the properties of a policy object.
When a request is received, the attributes are determined. Unknown attributes
are set to the zero value of its type (e.g. empty string, 0, false).
A property set to "*" will match any value of the corresponding attribute.
The tuple of attributes is checked for a match against every policy in the
policy file. If at least one line matches the request attributes, then the
request is authorized (but may fail later validation).
To permit any authenticated user to do something, write a policy with the
group property set to "system:authenticated".
To permit any unauthenticated user to do something, write a policy with the
group property set to "system:unauthenticated".
To permit a user to do anything, write a policy with the apiGroup, namespace,
resource, and nonResourcePath properties set to "*".
Kubectl
Kubectl uses the /api and /apis endpoints of api-server to discover
served resource types, and validates objects sent to the API by create/update
operations using schema information located at /openapi/v2.
When using ABAC authorization, those special resources have to be explicitly
exposed via the nonResourcePath property in a policy (see examples below):
/api, /api/*, /apis, and /apis/* for API version negotiation.
/version for retrieving the server version via kubectl version.
/swaggerapi/* for create/update operations.
To inspect the HTTP calls involved in a specific kubectl operation you can turn
up the verbosity:
Creating a new namespace leads to the creation of a new service account in the following format:
system:serviceaccount:<namespace>:default
For example, if you wanted to grant the default service account (in the kube-system namespace) full
privilege to the API using ABAC, you would add this line to your policy file:
The apiserver will need to be restarted to pickup the new policy lines.
3.10 - Using Node Authorization
Node authorization is a special-purpose authorization mode that specifically authorizes API requests made by kubelets.
Overview
The Node authorizer allows a kubelet to perform API operations. This includes:
Read operations:
services
endpoints
nodes
pods
secrets, configmaps, persistent volume claims and persistent volumes related to pods bound to the kubelet's node
Write operations:
nodes and node status (enable the NodeRestriction admission plugin to limit a kubelet to modify its own node)
pods and pod status (enable the NodeRestriction admission plugin to limit a kubelet to modify pods bound to itself)
events
Auth-related operations:
read/write access to the certificationsigningrequests API for TLS bootstrapping
the ability to create tokenreviews and subjectaccessreviews for delegated authentication/authorization checks
In future releases, the node authorizer may add or remove permissions to ensure kubelets
have the minimal set of permissions required to operate correctly.
In order to be authorized by the Node authorizer, kubelets must use a credential that identifies them as
being in the system:nodes group, with a username of system:node:<nodeName>.
This group and user name format match the identity created for each kubelet as part of
kubelet TLS bootstrapping.
The value of <nodeName>must match precisely the name of the node as registered by the kubelet. By default, this is the host name as provided by hostname, or overridden via the kubelet option--hostname-override. However, when using the --cloud-provider kubelet option, the specific hostname may be determined by the cloud provider, ignoring the local hostname and the --hostname-override option.
For specifics about how the kubelet determines the hostname, see the kubelet options reference.
To enable the Node authorizer, start the apiserver with --authorization-mode=Node.
To limit the API objects kubelets are able to write, enable the NodeRestriction admission plugin by starting the apiserver with --enable-admission-plugins=...,NodeRestriction,...
Migration considerations
Kubelets outside the system:nodes group
Kubelets outside the system:nodes group would not be authorized by the Node authorization mode,
and would need to continue to be authorized via whatever mechanism currently authorizes them.
The node admission plugin would not restrict requests from these kubelets.
Kubelets with undifferentiated usernames
In some deployments, kubelets have credentials that place them in the system:nodes group,
but do not identify the particular node they are associated with,
because they do not have a username in the system:node:... format.
These kubelets would not be authorized by the Node authorization mode,
and would need to continue to be authorized via whatever mechanism currently authorizes them.
The NodeRestriction admission plugin would ignore requests from these kubelets,
since the default node identifier implementation would not consider that a node identity.
Upgrades from previous versions using RBAC
Upgraded pre-1.7 clusters using RBAC will continue functioning as-is because the system:nodes group binding will already exist.
If a cluster admin wishes to start using the Node authorizer and NodeRestriction admission plugin
to limit node access to the API, that can be done non-disruptively:
Enable the Node authorization mode (--authorization-mode=Node,RBAC) and the NodeRestriction admission plugin
Ensure all kubelets' credentials conform to the group/username requirements
Audit apiserver logs to ensure the Node authorizer is not rejecting requests from kubelets (no persistent NODE DENY messages logged)
Delete the system:node cluster role binding
RBAC Node Permissions
In 1.6, the system:node cluster role was automatically bound to the system:nodes group when using the RBAC Authorization mode.
In 1.7, the automatic binding of the system:nodes group to the system:node role is deprecated
because the node authorizer accomplishes the same purpose with the benefit of additional restrictions
on secret and configmap access. If the Node and RBAC authorization modes are both enabled,
the automatic binding of the system:nodes group to the system:node role is not created in 1.7.
In 1.8, the binding will not be created at all.
When using RBAC, the system:node cluster role will continue to be created,
for compatibility with deployment methods that bind other users or groups to that role.
3.11 - Webhook Mode
A WebHook is an HTTP callback: an HTTP POST that occurs when something happens; a simple event-notification via HTTP POST. A web application implementing WebHooks will POST a message to a URL when certain things happen.
When specified, mode Webhook causes Kubernetes to query an outside REST
service when determining user privileges.
Configuration File Format
Mode Webhook requires a file for HTTP configuration, specify by the
--authorization-webhook-config-file=SOME_FILENAME flag.
The configuration file uses the kubeconfig
file format. Within the file "users" refers to the API Server webhook and
"clusters" refers to the remote service.
A configuration example which uses HTTPS client auth:
# Kubernetes API versionapiVersion:v1# kind of the API objectkind:Config# clusters refers to the remote service.clusters:- name:name-of-remote-authz-servicecluster:# CA for verifying the remote service.certificate-authority:/path/to/ca.pem# URL of remote service to query. Must use 'https'. May not include parameters.server:https://authz.example.com/authorize# users refers to the API Server's webhook configuration.users:- name:name-of-api-serveruser:client-certificate:/path/to/cert.pem# cert for the webhook plugin to useclient-key:/path/to/key.pem # key matching the cert# kubeconfig files require a context. Provide one for the API Server.current-context:webhookcontexts:- context:cluster:name-of-remote-authz-serviceuser:name-of-api-servername:webhook
Request Payloads
When faced with an authorization decision, the API Server POSTs a JSON-
serialized authorization.k8s.io/v1beta1SubjectAccessReview object describing the
action. This object contains fields describing the user attempting to make the
request, and either details about the resource being accessed or requests
attributes.
Note that webhook API objects are subject to the same versioning compatibility rules
as other Kubernetes API objects. Implementers should be aware of looser
compatibility promises for beta objects and check the "apiVersion" field of the
request to ensure correct deserialization. Additionally, the API Server must
enable the authorization.k8s.io/v1beta1 API extensions group (--runtime-config=authorization.k8s.io/v1beta1=true).
The remote service is expected to fill the status field of
the request and respond to either allow or disallow access. The response body's
spec field is ignored and may be omitted. A permissive response would return:
The first method is preferred in most cases, and indicates the authorization
webhook does not allow, or has "no opinion" about the request, but if other
authorizers are configured, they are given a chance to allow the request.
If there are no other authorizers, or none of them allow the request, the
request is forbidden. The webhook would return:
{
"apiVersion": "authorization.k8s.io/v1beta1",
"kind": "SubjectAccessReview",
"status": {
"allowed": false,
"reason": "user does not have read access to the namespace"
}
}
The second method denies immediately, short-circuiting evaluation by other
configured authorizers. This should only be used by webhooks that have
detailed knowledge of the full authorizer configuration of the cluster.
The webhook would return:
{
"apiVersion": "authorization.k8s.io/v1beta1",
"kind": "SubjectAccessReview",
"status": {
"allowed": false,
"denied": true,
"reason": "user does not have read access to the namespace"
}
}
Non-resource paths include: /api, /apis, /metrics,
/logs, /debug, /healthz, /livez, /openapi/v2, /readyz, and
/version. Clients require access to /api, /api/*, /apis, /apis/*,
and /version to discover what resources and versions are present on the server.
Access to other non-resource paths can be disallowed without restricting access
to the REST api.
For further documentation refer to the authorization.v1beta1 API objects and
webhook.go.
4 - Well-Known Labels, Annotations and Taints
Kubernetes reserves all labels and annotations in the kubernetes.io namespace.
This document serves both as a reference to the values and as a coordination point for assigning values.
kubernetes.io/arch
Example: kubernetes.io/arch=amd64
Used on: Node
The Kubelet populates this with runtime.GOARCH as defined by Go. This can be handy if you are mixing arm and x86 nodes.
kubernetes.io/os
Example: kubernetes.io/os=linux
Used on: Node
The Kubelet populates this with runtime.GOOS as defined by Go. This can be handy if you are mixing operating systems in your cluster (for example: mixing Linux and Windows nodes).
kubernetes.io/metadata.name
Example: kubernetes.io/metadata.name=mynamespace
Used on: Namespaces
When the NamespaceDefaultLabelNamefeature gate is enabled,
the Kubernetes API server sets this label on all namespaces. The label value is set to
the name of the namespace.
This is useful if you want to target a specific namespace with a label
selector.
beta.kubernetes.io/arch (deprecated)
This label has been deprecated. Please use kubernetes.io/arch instead.
beta.kubernetes.io/os (deprecated)
This label has been deprecated. Please use kubernetes.io/os instead.
The Kubelet populates this label with the hostname. Note that the hostname can be changed from the "actual" hostname by passing the --hostname-override flag to the kubelet.
This label is also used as part of the topology hierarchy. See topology.kubernetes.io/zone for more information.
This annotation is used to set Pod Deletion Cost
which allows users to influence ReplicaSet downscaling order. The annotation parses into an int32 type.
The Kubelet populates this with the instance type as defined by the cloudprovider.
This will be set only if you are using a cloudprovider. This setting is handy
if you want to target certain workloads to certain instance types, but typically you want
to rely on the Kubernetes scheduler to perform resource-based scheduling. You should aim to schedule based on properties rather than on instance types (for example: require a GPU, instead of requiring a g2.2xlarge).
When a StatefulSet controller creates a Pod for the StatefulSet, the control plane
sets this label on that Pod. The value of the label is the name of the Pod being created.
See Pod Name Label in the
StatefulSet topic for more details.
On Node: The kubelet or the external cloud-controller-manager populates this with the information as provided by the cloudprovider. This will be set only if you are using a cloudprovider. However, you should consider setting this on nodes if it makes sense in your topology.
On PersistentVolume: topology-aware volume provisioners will automatically set node affinity constraints on PersistentVolumes.
A zone represents a logical failure domain. It is common for Kubernetes clusters to span multiple zones for increased availability. While the exact definition of a zone is left to infrastructure implementations, common properties of a zone include very low network latency within a zone, no-cost network traffic within a zone, and failure independence from other zones. For example, nodes within a zone might share a network switch, but nodes in different zones should not.
A region represents a larger domain, made up of one or more zones. It is uncommon for Kubernetes clusters to span multiple regions, While the exact definition of a zone or region is left to infrastructure implementations, common properties of a region include higher network latency between them than within them, non-zero cost for network traffic between them, and failure independence from other zones or regions. For example, nodes within a region might share power infrastructure (e.g. a UPS or generator), but nodes in different regions typically would not.
Kubernetes makes a few assumptions about the structure of zones and regions:
regions and zones are hierarchical: zones are strict subsets of regions and no zone can be in 2 regions
zone names are unique across regions; for example region "africa-east-1" might be comprised of zones "africa-east-1a" and "africa-east-1b"
It should be safe to assume that topology labels do not change. Even though labels are strictly mutable, consumers of them can assume that a given node is not going to be moved between zones without being destroyed and recreated.
Kubernetes can use this information in various ways. For example, the scheduler automatically tries to spread the Pods in a ReplicaSet across nodes in a single-zone cluster (to reduce the impact of node failures, see kubernetes.io/hostname). With multiple-zone clusters, this spreading behavior also applies to zones (to reduce the impact of zone failures). This is achieved via SelectorSpreadPriority.
SelectorSpreadPriority is a best effort placement. If the zones in your cluster are heterogeneous (for example: different numbers of nodes, different types of nodes, or different pod resource requirements), this placement might prevent equal spreading of your Pods across zones. If desired, you can use homogenous zones (same number and types of nodes) to reduce the probability of unequal spreading.
The scheduler (through the VolumeZonePredicate predicate) also will ensure that Pods, that claim a given volume, are only placed into the same zone as that volume. Volumes cannot be attached across zones.
If PersistentVolumeLabel does not support automatic labeling of your PersistentVolumes, you should consider
adding the labels manually (or adding support for PersistentVolumeLabel). With PersistentVolumeLabel, the scheduler prevents Pods from mounting volumes in a different zone. If your infrastructure doesn't have this constraint, you don't need to add the zone labels to the volumes at all.
The label is used to indicate the controller or entity that manages an EndpointSlice. This label aims to enable different EndpointSlice objects to be managed by different controllers or entities within the same cluster.
The label can be set to "true" on an Endpoints resource to indicate that the EndpointSliceMirroring controller should not mirror this resource with EndpointSlices.
The annotation is used to run Windows containers with Hyper-V isolation. To use Hyper-V isolation feature and create a Hyper-V isolated container, the kubelet should be started with feature gates HyperVContainer=true and the Pod should include the annotation experimental.windows.kubernetes.io/isolation-type=hyperv.
Note: You can only set this annotation on Pods that have a single container.
When a single IngressClass resource has this annotation set to "true", new Ingress resource without a class specified will be assigned this default class.
kubernetes.io/ingress.class (deprecated)
Note: Starting in v1.18, this annotation is deprecated in favor of spec.ingressClassName.
The kubelet can set this annotation on a Node to denote its configured IPv4 address.
When kubelet is started with the "external" cloud provider, it sets this annotation on the Node to denote an IP address set from the command line flag (--node-ip). This IP is verified with the cloud provider as valid by the cloud-controller-manager.
The value of the annotation is the container name that is default for this Pod. For example, kubectl logs or kubectl exec without -c or --container flag will use this default container.
In Kubernetes clusters v1.21 (or later), the Endpoints controller adds this annotation to an Endpoints resource if it has more than 1000 endpoints. The annotation indicates that the Endpoints resource is over capacity.
The taints listed below are always used on Nodes
node.kubernetes.io/not-ready
Example: node.kubernetes.io/not-ready:NoExecute
The node controller detects whether a node is ready by monitoring its health and adds or removes this taint accordingly.
node.kubernetes.io/unreachable
Example: node.kubernetes.io/unreachable:NoExecute
The node controller adds the taint to a node corresponding to the NodeConditionReady being Unknown.
The kubelet detects memory pressure based on memory.available and allocatableMemory.available observed on a Node. The observed values are then compared to the corresponding thresholds that can be set on the kubelet to determine if the Node condition and taint should be added/removed.
The kubelet detects disk pressure based on imagefs.available, imagefs.inodesFree, nodefs.available and nodefs.inodesFree(Linux only) observed on a Node. The observed values are then compared to the corresponding thresholds that can be set on the kubelet to determine if the Node condition and taint should be added/removed.
This is initially set by the kubelet when the cloud provider used indicates a requirement for additional network configuration. Only when the route on the cloud is configured properly will the taint be removed by the cloud provider.
The kubelet checks D-value of the size of /proc/sys/kernel/pid_max and the PIDs consumed by Kubernetes on a node to get the number of available PIDs that referred to as the pid.available metric. The metric is then compared to the corresponding threshold that can be set on the kubelet to determine if the node condition and taint should be added/removed.
Sets this taint on a node to mark it as unusable, when kubelet is started with the "external" cloud provider, until a controller from the cloud-controller-manager initializes this node, and then removes the taint.
If a Node is in a cloud provider specified shutdown state, the Node gets tainted accordingly with node.cloudprovider.kubernetes.io/shutdown and the taint effect of NoSchedule.
5 - Kubernetes API
Kubernetes' API is the application that serves Kubernetes functionality through a RESTful interface and stores the state of the cluster.
Kubernetes resources and "records of intent" are all stored as API objects, and modified via RESTful calls to the API. The API allows configuration to be managed in a declarative way. Users can interact with the Kubernetes API directly, or via tools like kubectl. The core Kubernetes API is flexible and can also be extended to support custom resources.
5.1 - Workload Resources
5.1.1 - Pod
Pod is a collection of containers that can run on a host.
apiVersion: v1
import "k8s.io/api/core/v1"
Pod
Pod is a collection of containers that can run on a host. This resource is created by clients and scheduled onto hosts.
List of containers belonging to the pod. Containers cannot currently be added or removed. There must be at least one container in a Pod. Cannot be updated.
List of initialization containers belonging to the pod. Init containers are executed in order prior to containers being started. If any init container fails, the pod is considered to have failed and is handled according to its restartPolicy. The name for an init container or normal container must be unique among all containers. Init containers may not have Lifecycle actions, Readiness probes, Liveness probes, or Startup probes. The resourceRequirements of an init container are taken into account during scheduling by finding the highest request/limit for each resource type, and then using the max of of that value or the sum of the normal containers. Limits are applied to init containers in a similar fashion. Init containers cannot currently be added or removed. Cannot be updated. More info: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/
ImagePullSecrets is an optional list of references to secrets in the same namespace to use for pulling any of the images used by this PodSpec. If specified, these secrets will be passed to individual puller implementations for them to use. For example, in the case of docker, only DockerConfig type secrets are honored. More info: https://kubernetes.io/docs/concepts/containers/images#specifying-imagepullsecrets-on-a-pod
enableServiceLinks (boolean)
EnableServiceLinks indicates whether information about services should be injected into pod's environment variables, matching the syntax of Docker links. Optional: Defaults to true.
NodeName is a request to schedule this pod onto a specific node. If it is non-empty, the scheduler simply schedules this pod onto that node, assuming that it fits resource requirements.
Describes pod anti-affinity scheduling rules (e.g. avoid putting this pod in the same node, zone, etc. as some other pod(s)).
tolerations ([]Toleration)
If specified, the pod's tolerations.
The pod this Toleration is attached to tolerates any taint that matches the triple <key,value,effect> using the matching operator .
tolerations.key (string)
Key is the taint key that the toleration applies to. Empty means match all taint keys. If the key is empty, operator must be Exists; this combination means to match all values and all keys.
tolerations.operator (string)
Operator represents a key's relationship to the value. Valid operators are Exists and Equal. Defaults to Equal. Exists is equivalent to wildcard for value, so that a pod can tolerate all taints of a particular category.
tolerations.value (string)
Value is the taint value the toleration matches to. If the operator is Exists, the value should be empty, otherwise just a regular string.
tolerations.effect (string)
Effect indicates the taint effect to match. Empty means match all taint effects. When specified, allowed values are NoSchedule, PreferNoSchedule and NoExecute.
tolerations.tolerationSeconds (int64)
TolerationSeconds represents the period of time the toleration (which must be of effect NoExecute, otherwise this field is ignored) tolerates the taint. By default, it is not set, which means tolerate the taint forever (do not evict). Zero and negative values will be treated as 0 (evict immediately) by the system.
schedulerName (string)
If specified, the pod will be dispatched by specified scheduler. If not specified, the pod will be dispatched by default scheduler.
runtimeClassName (string)
RuntimeClassName refers to a RuntimeClass object in the node.k8s.io group, which should be used to run this pod. If no RuntimeClass resource matches the named class, the pod will not be run. If unset or empty, the "legacy" RuntimeClass will be used, which is an implicit class with an empty definition that uses the default runtime handler. More info: https://git.k8s.io/enhancements/keps/sig-node/runtime-class.md This is a beta feature as of Kubernetes v1.14.
priorityClassName (string)
If specified, indicates the pod's priority. "system-node-critical" and "system-cluster-critical" are two special keywords which indicate the highest priorities with the former being the highest priority. Any other name must be defined by creating a PriorityClass object with that name. If not specified, the pod priority will be default or zero if there is no default.
priority (int32)
The priority value. Various system components use this field to find the priority of the pod. When Priority Admission Controller is enabled, it prevents users from setting this field. The admission controller populates this field from PriorityClassName. The higher the value, the higher the priority.
Map: unique values on keys topologyKey, whenUnsatisfiable will be kept during a merge
TopologySpreadConstraints describes how a group of pods ought to spread across topology domains. Scheduler will schedule pods in a way which abides by the constraints. All topologySpreadConstraints are ANDed.
TopologySpreadConstraint specifies how to spread matching pods among the given topology.
MaxSkew describes the degree to which pods may be unevenly distributed. When whenUnsatisfiable=DoNotSchedule, it is the maximum permitted difference between the number of matching pods in the target topology and the global minimum. For example, in a 3-zone cluster, MaxSkew is set to 1, and pods with the same labelSelector spread as 1/1/0: | zone1 | zone2 | zone3 | | P | P | | - if MaxSkew is 1, incoming pod can only be scheduled to zone3 to become 1/1/1; scheduling it onto zone1(zone2) would make the ActualSkew(2-0) on zone1(zone2) violate MaxSkew(1). - if MaxSkew is 2, incoming pod can be scheduled onto any zone. When whenUnsatisfiable=ScheduleAnyway, it is used to give higher precedence to topologies that satisfy it. It's a required field. Default value is 1 and 0 is not allowed.
TopologyKey is the key of node labels. Nodes that have a label with this key and identical values are considered to be in the same topology. We consider each <key, value> as a "bucket", and try to put balanced number of pods into each bucket. It's a required field.
WhenUnsatisfiable indicates how to deal with a pod if it doesn't satisfy the spread constraint. - DoNotSchedule (default) tells the scheduler not to schedule it. - ScheduleAnyway tells the scheduler to schedule the pod in any location,
but giving higher precedence to topologies that would help reduce the
skew.
A constraint is considered "Unsatisfiable" for an incoming pod if and only if every possible node assigment for that pod would violate "MaxSkew" on some topology. For example, in a 3-zone cluster, MaxSkew is set to 1, and pods with the same labelSelector spread as 3/1/1: | zone1 | zone2 | zone3 | | P P P | P | P | If WhenUnsatisfiable is set to DoNotSchedule, incoming pod can only be scheduled to zone2(zone3) to become 3/2/1(3/1/2) as ActualSkew(2-1) on zone2(zone3) satisfies MaxSkew(1). In other words, the cluster can still be imbalanced, but scheduler won't make it more imbalanced. It's a required field.
LabelSelector is used to find matching pods. Pods that match this label selector are counted to determine the number of pods in their corresponding topology domain.
Optional duration in seconds the pod needs to terminate gracefully. May be decreased in delete request. Value must be non-negative integer. The value zero indicates stop immediately via the kill signal (no opportunity to shut down). If this value is nil, the default grace period will be used instead. The grace period is the duration in seconds after the processes running in the pod are sent a termination signal and the time when the processes are forcibly halted with a kill signal. Set this value longer than the expected cleanup time for your process. Defaults to 30 seconds.
activeDeadlineSeconds (int64)
Optional duration in seconds the pod may be active on the node relative to StartTime before the system will actively try to mark it failed and kill associated containers. Value must be a positive integer.
PodReadinessGate contains the reference to a pod condition
readinessGates.conditionType (string), required
ConditionType refers to a condition in the pod's condition list with matching type.
Hostname and Name resolution
hostname (string)
Specifies the hostname of the Pod If not specified, the pod's hostname will be set to a system-defined value.
setHostnameAsFQDN (boolean)
If true the pod's hostname will be configured as the pod's FQDN, rather than the leaf name (the default). In Linux containers, this means setting the FQDN in the hostname field of the kernel (the nodename field of struct utsname). In Windows containers, this means setting the registry value of hostname for the registry key HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\Tcpip\Parameters to FQDN. If a pod does not have FQDN, this has no effect. Default to false.
subdomain (string)
If specified, the fully qualified Pod hostname will be "<hostname>.<subdomain>.<pod namespace>.svc.<cluster domain>". If not specified, the pod will not have a domainname at all.
hostAliases ([]HostAlias)
Patch strategy: merge on key ip
HostAliases is an optional list of hosts and IPs that will be injected into the pod's hosts file if specified. This is only valid for non-hostNetwork pods.
HostAlias holds the mapping between IP and hostnames that will be injected as an entry in the pod's hosts file.
hostAliases.hostnames ([]string)
Hostnames for the above IP address.
hostAliases.ip (string)
IP address of the host file entry.
dnsConfig (PodDNSConfig)
Specifies the DNS parameters of a pod. Parameters specified here will be merged to the generated DNS configuration based on DNSPolicy.
PodDNSConfig defines the DNS parameters of a pod in addition to those generated from DNSPolicy.
dnsConfig.nameservers ([]string)
A list of DNS name server IP addresses. This will be appended to the base nameservers generated from DNSPolicy. Duplicated nameservers will be removed.
dnsConfig.options ([]PodDNSConfigOption)
A list of DNS resolver options. This will be merged with the base options generated from DNSPolicy. Duplicated entries will be removed. Resolution options given in Options will override those that appear in the base DNSPolicy.
PodDNSConfigOption defines DNS resolver options of a pod.
dnsConfig.options.name (string)
Required.
dnsConfig.options.value (string)
dnsConfig.searches ([]string)
A list of DNS search domains for host-name lookup. This will be appended to the base search paths generated from DNSPolicy. Duplicated search paths will be removed.
dnsPolicy (string)
Set DNS policy for the pod. Defaults to "ClusterFirst". Valid values are 'ClusterFirstWithHostNet', 'ClusterFirst', 'Default' or 'None'. DNS parameters given in DNSConfig will be merged with the policy selected with DNSPolicy. To have DNS options set along with hostNetwork, you have to specify DNS policy explicitly to 'ClusterFirstWithHostNet'.
Hosts namespaces
hostNetwork (boolean)
Host networking requested for this pod. Use the host's network namespace. If this option is set, the ports that will be used must be specified. Default to false.
hostPID (boolean)
Use the host's pid namespace. Optional: Default to false.
hostIPC (boolean)
Use the host's ipc namespace. Optional: Default to false.
shareProcessNamespace (boolean)
Share a single process namespace between all of the containers in a pod. When this is set containers will be able to view and signal processes from other containers in the same pod, and the first process in each container will not be assigned PID 1. HostPID and ShareProcessNamespace cannot both be set. Optional: Default to false.
AutomountServiceAccountToken indicates whether a service account token should be automatically mounted.
Security context
securityContext (PodSecurityContext)
SecurityContext holds pod-level security attributes and common container settings. Optional: Defaults to empty. See type description for default values of each field.
PodSecurityContext holds pod-level security attributes and common container settings. Some fields are also present in container.securityContext. Field values of container.securityContext take precedence over field values of PodSecurityContext.
securityContext.runAsUser (int64)
The UID to run the entrypoint of the container process. Defaults to user specified in image metadata if unspecified. May also be set in SecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence for that container.
securityContext.runAsNonRoot (boolean)
Indicates that the container must run as a non-root user. If true, the Kubelet will validate the image at runtime to ensure that it does not run as UID 0 (root) and fail to start the container if it does. If unset or false, no such validation will be performed. May also be set in SecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
securityContext.runAsGroup (int64)
The GID to run the entrypoint of the container process. Uses runtime default if unset. May also be set in SecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence for that container.
securityContext.supplementalGroups ([]int64)
A list of groups applied to the first process run in each container, in addition to the container's primary GID. If unspecified, no groups will be added to any container.
securityContext.fsGroup (int64)
A special supplemental group that applies to all containers in a pod. Some volume types allow the Kubelet to change the ownership of that volume to be owned by the pod:
The owning GID will be the FSGroup 2. The setgid bit is set (new files created in the volume will be owned by FSGroup) 3. The permission bits are OR'd with rw-rw----
If unset, the Kubelet will not modify the ownership and permissions of any volume.
securityContext.fsGroupChangePolicy (string)
fsGroupChangePolicy defines behavior of changing ownership and permission of the volume before being exposed inside Pod. This field will only apply to volume types which support fsGroup based ownership(and permissions). It will have no effect on ephemeral volume types such as: secret, configmaps and emptydir. Valid values are "OnRootMismatch" and "Always". If not specified, "Always" is used.
securityContext.seccompProfile (SeccompProfile)
The seccomp options to use by the containers in this pod.
SeccompProfile defines a pod/container's seccomp profile settings. Only one profile source may be set.
type indicates which kind of seccomp profile will be applied. Valid options are:
Localhost - a profile defined in a file on the node should be used. RuntimeDefault - the container runtime default profile should be used. Unconfined - no profile should be applied.
localhostProfile indicates a profile defined in a file on the node should be used. The profile must be preconfigured on the node to work. Must be a descending path, relative to the kubelet's configured seccomp profile location. Must only be set if type is "Localhost".
securityContext.seLinuxOptions (SELinuxOptions)
The SELinux context to be applied to all containers. If unspecified, the container runtime will allocate a random SELinux context for each container. May also be set in SecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence for that container.
SELinuxOptions are the labels to be applied to the container
securityContext.seLinuxOptions.level (string)
Level is SELinux level label that applies to the container.
securityContext.seLinuxOptions.role (string)
Role is a SELinux role label that applies to the container.
securityContext.seLinuxOptions.type (string)
Type is a SELinux type label that applies to the container.
securityContext.seLinuxOptions.user (string)
User is a SELinux user label that applies to the container.
securityContext.sysctls ([]Sysctl)
Sysctls hold a list of namespaced sysctls used for the pod. Pods with unsupported sysctls (by the container runtime) might fail to launch.
The Windows specific settings applied to all containers. If unspecified, the options within a container's SecurityContext will be used. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
WindowsSecurityContextOptions contain Windows-specific options and credentials.
GMSACredentialSpec is where the GMSA admission webhook (https://github.com/kubernetes-sigs/windows-gmsa) inlines the contents of the GMSA credential spec named by the GMSACredentialSpecName field.
The UserName in Windows to run the entrypoint of the container process. Defaults to the user specified in image metadata if unspecified. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
Beta level
preemptionPolicy (string)
PreemptionPolicy is the Policy for preempting pods with lower priority. One of Never, PreemptLowerPriority. Defaults to PreemptLowerPriority if unset. This field is beta-level, gated by the NonPreemptingPriority feature-gate.
Overhead represents the resource overhead associated with running a pod for a given RuntimeClass. This field will be autopopulated at admission time by the RuntimeClass admission controller. If the RuntimeClass admission controller is enabled, overhead must not be set in Pod create requests. The RuntimeClass admission controller will reject Pod create requests which have the overhead already set. If RuntimeClass is configured and selected in the PodSpec, Overhead will be set to the value defined in the corresponding RuntimeClass, otherwise it will remain unset and treated as zero. More info: https://git.k8s.io/enhancements/keps/sig-node/20190226-pod-overhead.md This field is alpha-level as of Kubernetes v1.16, and is only honored by servers that enable the PodOverhead feature.
List of ephemeral containers run in this pod. Ephemeral containers may be run in an existing pod to perform user-initiated actions such as debugging. This list cannot be specified when creating a pod, and it cannot be modified by updating the pod spec. In order to add an ephemeral container to an existing pod, use the pod's ephemeralcontainers subresource. This field is alpha-level and is only honored by servers that enable the EphemeralContainers feature.
Deprecated
serviceAccount (string)
DeprecatedServiceAccount is a depreciated alias for ServiceAccountName. Deprecated: Use serviceAccountName instead.
Container
A single application container that you want to run within a pod.
name (string), required
Name of the container specified as a DNS_LABEL. Each container in a pod must have a unique name (DNS_LABEL). Cannot be updated.
Image
image (string)
Docker image name. More info: https://kubernetes.io/docs/concepts/containers/images This field is optional to allow higher level config management to default or override container images in workload controllers like Deployments and StatefulSets.
Entrypoint array. Not executed within a shell. The docker image's ENTRYPOINT is used if this is not provided. Variable references $(VAR_NAME) are expanded using the container's environment. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not. Cannot be updated. More info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell
args ([]string)
Arguments to the entrypoint. The docker image's CMD is used if this is not provided. Variable references $(VAR_NAME) are expanded using the container's environment. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not. Cannot be updated. More info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell
workingDir (string)
Container's working directory. If not specified, the container runtime's default will be used, which might be configured in the container image. Cannot be updated.
Ports
ports ([]ContainerPort)
Patch strategy: merge on key containerPort
Map: unique values on keys containerPort, protocol will be kept during a merge
List of ports to expose from the container. Exposing a port here gives the system additional information about the network connections a container uses, but is primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default "0.0.0.0" address inside a container will be accessible from the network. Cannot be updated.
ContainerPort represents a network port in a single container.
ports.containerPort (int32), required
Number of port to expose on the pod's IP address. This must be a valid port number, 0 < x < 65536.
ports.hostIP (string)
What host IP to bind the external port to.
ports.hostPort (int32)
Number of port to expose on the host. If specified, this must be a valid port number, 0 < x < 65536. If HostNetwork is specified, this must match ContainerPort. Most containers do not need this.
ports.name (string)
If specified, this must be an IANA_SVC_NAME and unique within the pod. Each named port in a pod must have a unique name. Name for the port that can be referred to by services.
ports.protocol (string)
Protocol for port. Must be UDP, TCP, or SCTP. Defaults to "TCP".
Environment variables
env ([]EnvVar)
Patch strategy: merge on key name
List of environment variables to set in the container. Cannot be updated.
EnvVar represents an environment variable present in a Container.
env.name (string), required
Name of the environment variable. Must be a C_IDENTIFIER.
env.value (string)
Variable references $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not. Defaults to "".
env.valueFrom (EnvVarSource)
Source for the environment variable's value. Cannot be used if value is not empty.
EnvVarSource represents a source for the value of an EnvVar.
Selects a field of the pod: supports metadata.name, metadata.namespace, metadata.labels['\<KEY>'], metadata.annotations['\<KEY>'], spec.nodeName, spec.serviceAccountName, status.hostIP, status.podIP, status.podIPs.
Selects a resource of the container: only resources limits and requests (limits.cpu, limits.memory, limits.ephemeral-storage, requests.cpu, requests.memory and requests.ephemeral-storage) are currently supported.
env.valueFrom.secretKeyRef (SecretKeySelector)
Selects a key of a secret in the pod's namespace
SecretKeySelector selects a key of a Secret.
env.valueFrom.secretKeyRef.key (string), required
The key of the secret to select from. Must be a valid secret key.
Specify whether the Secret or its key must be defined
envFrom ([]EnvFromSource)
List of sources to populate environment variables in the container. The keys defined within a source must be a C_IDENTIFIER. All invalid keys will be reported as an event when the container is starting. When a key exists in multiple sources, the value associated with the last source will take precedence. Values defined by an Env with a duplicate key will take precedence. Cannot be updated.
EnvFromSource represents the source of a set of ConfigMaps
envFrom.configMapRef (ConfigMapEnvSource)
The ConfigMap to select from
*ConfigMapEnvSource selects a ConfigMap to populate the environment variables with.
The contents of the target ConfigMap's Data field will represent the key-value pairs as environment variables.*
Pod volumes to mount into the container's filesystem. Cannot be updated.
VolumeMount describes a mounting of a Volume within a container.
volumeMounts.mountPath (string), required
Path within the container at which the volume should be mounted. Must not contain ':'.
volumeMounts.name (string), required
This must match the Name of a Volume.
volumeMounts.mountPropagation (string)
mountPropagation determines how mounts are propagated from the host to container and the other way around. When not set, MountPropagationNone is used. This field is beta in 1.10.
volumeMounts.readOnly (boolean)
Mounted read-only if true, read-write otherwise (false or unspecified). Defaults to false.
volumeMounts.subPath (string)
Path within the volume from which the container's volume should be mounted. Defaults to "" (volume's root).
volumeMounts.subPathExpr (string)
Expanded path within the volume from which the container's volume should be mounted. Behaves similarly to SubPath but environment variable references $(VAR_NAME) are expanded using the container's environment. Defaults to "" (volume's root). SubPathExpr and SubPath are mutually exclusive.
volumeDevices ([]VolumeDevice)
Patch strategy: merge on key devicePath
volumeDevices is the list of block devices to be used by the container.
volumeDevice describes a mapping of a raw block device within a container.
volumeDevices.devicePath (string), required
devicePath is the path inside of the container that the device will be mapped to.
volumeDevices.name (string), required
name must match the name of a persistentVolumeClaim in the pod
Actions that the management system should take in response to container lifecycle events. Cannot be updated.
Lifecycle describes actions that the management system should take in response to container lifecycle events. For the PostStart and PreStop lifecycle handlers, management of the container blocks until the action is complete, unless the container process fails, in which case the handler is aborted.
PreStop is called immediately before a container is terminated due to an API request or management event such as liveness/startup probe failure, preemption, resource contention, etc. The handler is not called if the container crashes or exits. The reason for termination is passed to the handler. The Pod's termination grace period countdown begins before the PreStop hooked is executed. Regardless of the outcome of the handler, the container will eventually terminate within the Pod's termination grace period. Other management of the container blocks until the hook completes or until the termination grace period is reached. More info: https://kubernetes.io/docs/concepts/containers/container-lifecycle-hooks/#container-hooks
terminationMessagePath (string)
Optional: Path at which the file to which the container's termination message will be written is mounted into the container's filesystem. Message written is intended to be brief final status, such as an assertion failure message. Will be truncated by the node if greater than 4096 bytes. The total message length across all containers will be limited to 12kb. Defaults to /dev/termination-log. Cannot be updated.
terminationMessagePolicy (string)
Indicate how the termination message should be populated. File will use the contents of terminationMessagePath to populate the container status message on both success and failure. FallbackToLogsOnError will use the last chunk of container log output if the termination message file is empty and the container exited with an error. The log output is limited to 2048 bytes or 80 lines, whichever is smaller. Defaults to File. Cannot be updated.
StartupProbe indicates that the Pod has successfully initialized. If specified, no other probes are executed until this completes successfully. If this probe fails, the Pod will be restarted, just as if the livenessProbe failed. This can be used to provide different probe parameters at the beginning of a Pod's lifecycle, when it might take a long time to load data or warm a cache, than during steady-state operation. This cannot be updated. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle#container-probes
SecurityContext holds security configuration that will be applied to a container. Some fields are present in both SecurityContext and PodSecurityContext. When both are set, the values in SecurityContext take precedence.
securityContext.runAsUser (int64)
The UID to run the entrypoint of the container process. Defaults to user specified in image metadata if unspecified. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
securityContext.runAsNonRoot (boolean)
Indicates that the container must run as a non-root user. If true, the Kubelet will validate the image at runtime to ensure that it does not run as UID 0 (root) and fail to start the container if it does. If unset or false, no such validation will be performed. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
securityContext.runAsGroup (int64)
The GID to run the entrypoint of the container process. Uses runtime default if unset. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
securityContext.readOnlyRootFilesystem (boolean)
Whether this container has a read-only root filesystem. Default is false.
securityContext.procMount (string)
procMount denotes the type of proc mount to use for the containers. The default is DefaultProcMount which uses the container runtime defaults for readonly paths and masked paths. This requires the ProcMountType feature flag to be enabled.
securityContext.privileged (boolean)
Run container in privileged mode. Processes in privileged containers are essentially equivalent to root on the host. Defaults to false.
AllowPrivilegeEscalation controls whether a process can gain more privileges than its parent process. This bool directly controls if the no_new_privs flag will be set on the container process. AllowPrivilegeEscalation is true always when the container is: 1) run as Privileged 2) has CAP_SYS_ADMIN
securityContext.capabilities (Capabilities)
The capabilities to add/drop when running containers. Defaults to the default set of capabilities granted by the container runtime.
Adds and removes POSIX capabilities from running containers.
securityContext.capabilities.add ([]string)
Added capabilities
securityContext.capabilities.drop ([]string)
Removed capabilities
securityContext.seccompProfile (SeccompProfile)
The seccomp options to use by this container. If seccomp options are provided at both the pod & container level, the container options override the pod options.
SeccompProfile defines a pod/container's seccomp profile settings. Only one profile source may be set.
type indicates which kind of seccomp profile will be applied. Valid options are:
Localhost - a profile defined in a file on the node should be used. RuntimeDefault - the container runtime default profile should be used. Unconfined - no profile should be applied.
localhostProfile indicates a profile defined in a file on the node should be used. The profile must be preconfigured on the node to work. Must be a descending path, relative to the kubelet's configured seccomp profile location. Must only be set if type is "Localhost".
securityContext.seLinuxOptions (SELinuxOptions)
The SELinux context to be applied to the container. If unspecified, the container runtime will allocate a random SELinux context for each container. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
SELinuxOptions are the labels to be applied to the container
securityContext.seLinuxOptions.level (string)
Level is SELinux level label that applies to the container.
securityContext.seLinuxOptions.role (string)
Role is a SELinux role label that applies to the container.
securityContext.seLinuxOptions.type (string)
Type is a SELinux type label that applies to the container.
securityContext.seLinuxOptions.user (string)
User is a SELinux user label that applies to the container.
The Windows specific settings applied to all containers. If unspecified, the options from the PodSecurityContext will be used. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
WindowsSecurityContextOptions contain Windows-specific options and credentials.
GMSACredentialSpec is where the GMSA admission webhook (https://github.com/kubernetes-sigs/windows-gmsa) inlines the contents of the GMSA credential spec named by the GMSACredentialSpecName field.
The UserName in Windows to run the entrypoint of the container process. Defaults to the user specified in image metadata if unspecified. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
Debugging
stdin (boolean)
Whether this container should allocate a buffer for stdin in the container runtime. If this is not set, reads from stdin in the container will always result in EOF. Default is false.
stdinOnce (boolean)
Whether the container runtime should close the stdin channel after it has been opened by a single attach. When stdin is true the stdin stream will remain open across multiple attach sessions. If stdinOnce is set to true, stdin is opened on container start, is empty until the first client attaches to stdin, and then remains open and accepts data until the client disconnects, at which time stdin is closed and remains closed until the container is restarted. If this flag is false, a container processes that reads from stdin will never receive an EOF. Default is false
tty (boolean)
Whether this container should allocate a TTY for itself, also requires 'stdin' to be true. Default is false.
Handler
Handler defines a specific action that should be taken
exec (ExecAction)
One and only one of the following should be specified. Exec specifies the action to take.
ExecAction describes a "run in container" action.
exec.command ([]string)
Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
httpGet (HTTPGetAction)
HTTPGet specifies the http request to perform.
HTTPGetAction describes an action based on HTTP Get requests.
httpGet.port (IntOrString), required
Name or number of the port to access on the container. Number must be in the range 1 to 65535. Name must be an IANA_SVC_NAME.
IntOrString is a type that can hold an int32 or a string. When used in JSON or YAML marshalling and unmarshalling, it produces or consumes the inner type. This allows you to have, for example, a JSON field that can accept a name or number.
httpGet.host (string)
Host name to connect to, defaults to the pod IP. You probably want to set "Host" in httpHeaders instead.
httpGet.httpHeaders ([]HTTPHeader)
Custom headers to set in the request. HTTP allows repeated headers.
HTTPHeader describes a custom header to be used in HTTP probes
httpGet.httpHeaders.name (string), required
The header field name
httpGet.httpHeaders.value (string), required
The header field value
httpGet.path (string)
Path to access on the HTTP server.
httpGet.scheme (string)
Scheme to use for connecting to the host. Defaults to HTTP.
tcpSocket (TCPSocketAction)
TCPSocket specifies an action involving a TCP port. TCP hooks not yet supported
TCPSocketAction describes an action based on opening a socket
tcpSocket.port (IntOrString), required
Number or name of the port to access on the container. Number must be in the range 1 to 65535. Name must be an IANA_SVC_NAME.
IntOrString is a type that can hold an int32 or a string. When used in JSON or YAML marshalling and unmarshalling, it produces or consumes the inner type. This allows you to have, for example, a JSON field that can accept a name or number.
tcpSocket.host (string)
Optional: Host name to connect to, defaults to the pod IP.
NodeAffinity
Node affinity is a group of node affinity scheduling rules.
The scheduler will prefer to schedule pods to nodes that satisfy the affinity expressions specified by this field, but it may choose a node that violates one or more of the expressions. The node that is most preferred is the one with the greatest sum of weights, i.e. for each node that meets all of the scheduling requirements (resource request, requiredDuringScheduling affinity expressions, etc.), compute a sum by iterating through the elements of this field and adding "weight" to the sum if the node matches the corresponding matchExpressions; the node(s) with the highest sum are the most preferred.
An empty preferred scheduling term matches all objects with implicit weight 0 (i.e. it's a no-op). A null preferred scheduling term matches no objects (i.e. is also a no-op).
A node selector term, associated with the corresponding weight.
A null or empty node selector term matches no objects. The requirements of them are ANDed. The TopologySelectorTerm type implements a subset of the NodeSelectorTerm.
If the affinity requirements specified by this field are not met at scheduling time, the pod will not be scheduled onto the node. If the affinity requirements specified by this field cease to be met at some point during pod execution (e.g. due to an update), the system may or may not try to eventually evict the pod from its node.
A node selector represents the union of the results of one or more label queries over a set of nodes; that is, it represents the OR of the selectors represented by the node selector terms.
Required. A list of node selector terms. The terms are ORed.
A null or empty node selector term matches no objects. The requirements of them are ANDed. The TopologySelectorTerm type implements a subset of the NodeSelectorTerm.
The scheduler will prefer to schedule pods to nodes that satisfy the affinity expressions specified by this field, but it may choose a node that violates one or more of the expressions. The node that is most preferred is the one with the greatest sum of weights, i.e. for each node that meets all of the scheduling requirements (resource request, requiredDuringScheduling affinity expressions, etc.), compute a sum by iterating through the elements of this field and adding "weight" to the sum if the node has pods which matches the corresponding podAffinityTerm; the node(s) with the highest sum are the most preferred.
The weights of all of the matched WeightedPodAffinityTerm fields are added per-node to find the most preferred node(s)
Required. A pod affinity term, associated with the corresponding weight.
Defines a set of pods (namely those matching the labelSelector relative to the given namespace(s)) that this pod should be co-located (affinity) or not co-located (anti-affinity) with, where co-located is defined as running on a node whose value of the label with key matches that of any node on which a pod of the set of pods is running
This pod should be co-located (affinity) or not co-located (anti-affinity) with the pods matching the labelSelector in the specified namespaces, where co-located is defined as running on a node whose value of the label with key topologyKey matches that of any node on which any of the selected pods is running. Empty topologyKey is not allowed.
A label query over the set of namespaces that the term applies to. The term is applied to the union of the namespaces selected by this field and the ones listed in the namespaces field. null selector and null or empty namespaces list means "this pod's namespace". An empty selector ({}) matches all namespaces. This field is alpha-level and is only honored when PodAffinityNamespaceSelector feature is enabled.
namespaces specifies a static list of namespace names that the term applies to. The term is applied to the union of the namespaces listed in this field and the ones selected by namespaceSelector. null or empty namespaces list and null namespaceSelector means "this pod's namespace"
If the affinity requirements specified by this field are not met at scheduling time, the pod will not be scheduled onto the node. If the affinity requirements specified by this field cease to be met at some point during pod execution (e.g. due to a pod label update), the system may or may not try to eventually evict the pod from its node. When there are multiple elements, the lists of nodes corresponding to each podAffinityTerm are intersected, i.e. all terms must be satisfied.
Defines a set of pods (namely those matching the labelSelector relative to the given namespace(s)) that this pod should be co-located (affinity) or not co-located (anti-affinity) with, where co-located is defined as running on a node whose value of the label with key matches that of any node on which a pod of the set of pods is running
This pod should be co-located (affinity) or not co-located (anti-affinity) with the pods matching the labelSelector in the specified namespaces, where co-located is defined as running on a node whose value of the label with key topologyKey matches that of any node on which any of the selected pods is running. Empty topologyKey is not allowed.
A label query over the set of namespaces that the term applies to. The term is applied to the union of the namespaces selected by this field and the ones listed in the namespaces field. null selector and null or empty namespaces list means "this pod's namespace". An empty selector ({}) matches all namespaces. This field is alpha-level and is only honored when PodAffinityNamespaceSelector feature is enabled.
namespaces specifies a static list of namespace names that the term applies to. The term is applied to the union of the namespaces listed in this field and the ones selected by namespaceSelector. null or empty namespaces list and null namespaceSelector means "this pod's namespace"
PodAntiAffinity
Pod anti affinity is a group of inter pod anti affinity scheduling rules.
The scheduler will prefer to schedule pods to nodes that satisfy the anti-affinity expressions specified by this field, but it may choose a node that violates one or more of the expressions. The node that is most preferred is the one with the greatest sum of weights, i.e. for each node that meets all of the scheduling requirements (resource request, requiredDuringScheduling anti-affinity expressions, etc.), compute a sum by iterating through the elements of this field and adding "weight" to the sum if the node has pods which matches the corresponding podAffinityTerm; the node(s) with the highest sum are the most preferred.
The weights of all of the matched WeightedPodAffinityTerm fields are added per-node to find the most preferred node(s)
Required. A pod affinity term, associated with the corresponding weight.
Defines a set of pods (namely those matching the labelSelector relative to the given namespace(s)) that this pod should be co-located (affinity) or not co-located (anti-affinity) with, where co-located is defined as running on a node whose value of the label with key matches that of any node on which a pod of the set of pods is running
This pod should be co-located (affinity) or not co-located (anti-affinity) with the pods matching the labelSelector in the specified namespaces, where co-located is defined as running on a node whose value of the label with key topologyKey matches that of any node on which any of the selected pods is running. Empty topologyKey is not allowed.
A label query over the set of namespaces that the term applies to. The term is applied to the union of the namespaces selected by this field and the ones listed in the namespaces field. null selector and null or empty namespaces list means "this pod's namespace". An empty selector ({}) matches all namespaces. This field is alpha-level and is only honored when PodAffinityNamespaceSelector feature is enabled.
namespaces specifies a static list of namespace names that the term applies to. The term is applied to the union of the namespaces listed in this field and the ones selected by namespaceSelector. null or empty namespaces list and null namespaceSelector means "this pod's namespace"
If the anti-affinity requirements specified by this field are not met at scheduling time, the pod will not be scheduled onto the node. If the anti-affinity requirements specified by this field cease to be met at some point during pod execution (e.g. due to a pod label update), the system may or may not try to eventually evict the pod from its node. When there are multiple elements, the lists of nodes corresponding to each podAffinityTerm are intersected, i.e. all terms must be satisfied.
Defines a set of pods (namely those matching the labelSelector relative to the given namespace(s)) that this pod should be co-located (affinity) or not co-located (anti-affinity) with, where co-located is defined as running on a node whose value of the label with key matches that of any node on which a pod of the set of pods is running
This pod should be co-located (affinity) or not co-located (anti-affinity) with the pods matching the labelSelector in the specified namespaces, where co-located is defined as running on a node whose value of the label with key topologyKey matches that of any node on which any of the selected pods is running. Empty topologyKey is not allowed.
A label query over the set of namespaces that the term applies to. The term is applied to the union of the namespaces selected by this field and the ones listed in the namespaces field. null selector and null or empty namespaces list means "this pod's namespace". An empty selector ({}) matches all namespaces. This field is alpha-level and is only honored when PodAffinityNamespaceSelector feature is enabled.
namespaces specifies a static list of namespace names that the term applies to. The term is applied to the union of the namespaces listed in this field and the ones selected by namespaceSelector. null or empty namespaces list and null namespaceSelector means "this pod's namespace"
Probe
Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic.
exec (ExecAction)
One and only one of the following should be specified. Exec specifies the action to take.
ExecAction describes a "run in container" action.
exec.command ([]string)
Command is the command line to execute inside the container, the working directory for the command is root ('/') in the container's filesystem. The command is simply exec'd, it is not run inside a shell, so traditional shell instructions ('|', etc) won't work. To use a shell, you need to explicitly call out to that shell. Exit status of 0 is treated as live/healthy and non-zero is unhealthy.
httpGet (HTTPGetAction)
HTTPGet specifies the http request to perform.
HTTPGetAction describes an action based on HTTP Get requests.
httpGet.port (IntOrString), required
Name or number of the port to access on the container. Number must be in the range 1 to 65535. Name must be an IANA_SVC_NAME.
IntOrString is a type that can hold an int32 or a string. When used in JSON or YAML marshalling and unmarshalling, it produces or consumes the inner type. This allows you to have, for example, a JSON field that can accept a name or number.
httpGet.host (string)
Host name to connect to, defaults to the pod IP. You probably want to set "Host" in httpHeaders instead.
httpGet.httpHeaders ([]HTTPHeader)
Custom headers to set in the request. HTTP allows repeated headers.
HTTPHeader describes a custom header to be used in HTTP probes
httpGet.httpHeaders.name (string), required
The header field name
httpGet.httpHeaders.value (string), required
The header field value
httpGet.path (string)
Path to access on the HTTP server.
httpGet.scheme (string)
Scheme to use for connecting to the host. Defaults to HTTP.
tcpSocket (TCPSocketAction)
TCPSocket specifies an action involving a TCP port. TCP hooks not yet supported
TCPSocketAction describes an action based on opening a socket
tcpSocket.port (IntOrString), required
Number or name of the port to access on the container. Number must be in the range 1 to 65535. Name must be an IANA_SVC_NAME.
IntOrString is a type that can hold an int32 or a string. When used in JSON or YAML marshalling and unmarshalling, it produces or consumes the inner type. This allows you to have, for example, a JSON field that can accept a name or number.
tcpSocket.host (string)
Optional: Host name to connect to, defaults to the pod IP.
Optional duration in seconds the pod needs to terminate gracefully upon probe failure. The grace period is the duration in seconds after the processes running in the pod are sent a termination signal and the time when the processes are forcibly halted with a kill signal. Set this value longer than the expected cleanup time for your process. If this value is nil, the pod's terminationGracePeriodSeconds will be used. Otherwise, this value overrides the value provided by the pod spec. Value must be non-negative integer. The value zero indicates stop immediately via the kill signal (no opportunity to shut down). This is an alpha field and requires enabling ProbeTerminationGracePeriod feature gate.
periodSeconds (int32)
How often (in seconds) to perform the probe. Default to 10 seconds. Minimum value is 1.
Minimum consecutive failures for the probe to be considered failed after having succeeded. Defaults to 3. Minimum value is 1.
successThreshold (int32)
Minimum consecutive successes for the probe to be considered successful after having failed. Defaults to 1. Must be 1 for liveness and startup. Minimum value is 1.
PodStatus
PodStatus represents information about the status of a pod. Status may trail the actual state of a system, especially if the node that hosts the pod cannot contact the control plane.
nominatedNodeName (string)
nominatedNodeName is set only when this pod preempts other pods on the node, but it cannot be scheduled right away as preemption victims receive their graceful termination periods. This field does not guarantee that the pod will be scheduled on this node. Scheduler may decide to place the pod elsewhere if other nodes become available sooner. Scheduler may also decide to give the resources on this node to a higher priority pod that is created after preemption. As a result, this field may be different than PodSpec.nodeName when the pod is scheduled.
hostIP (string)
IP address of the host to which the pod is assigned. Empty if not yet scheduled.
startTime (Time)
RFC 3339 date and time at which the object was acknowledged by the Kubelet. This is before the Kubelet pulled the container image(s) for the pod.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
phase (string)
The phase of a Pod is a simple, high-level summary of where the Pod is in its lifecycle. The conditions array, the reason and message fields, and the individual container status arrays contain more detail about the pod's status. There are five possible phase values:
Pending: The pod has been accepted by the Kubernetes system, but one or more of the container images has not been created. This includes time before being scheduled as well as time spent downloading images over the network, which could take a while. Running: The pod has been bound to a node, and all of the containers have been created. At least one container is still running, or is in the process of starting or restarting. Succeeded: All containers in the pod have terminated in success, and will not be restarted. Failed: All containers in the pod have terminated, and at least one container has terminated in failure. The container either exited with non-zero status or was terminated by the system. Unknown: For some reason the state of the pod could not be obtained, typically due to an error in communicating with the host of the pod.
A human readable message indicating details about why the pod is in this condition.
reason (string)
A brief CamelCase message indicating details about why the pod is in this state. e.g. 'Evicted'
podIP (string)
IP address allocated to the pod. Routable at least within the cluster. Empty if not yet allocated.
podIPs ([]PodIP)
Patch strategy: merge on key ip
podIPs holds the IP addresses allocated to the pod. If this field is specified, the 0th entry must match the podIP field. Pods may be allocated at most 1 value for each of IPv4 and IPv6. This list is empty if no IPs have been allocated yet.
IP address information for entries in the (plural) PodIPs field. Each entry includes:
IP: An IP address allocated to the pod. Routable at least within the cluster.
podIPs.ip (string)
ip is an IP address (IPv4 or IPv6) assigned to the pod
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
conditions.lastTransitionTime (Time)
Last time the condition transitioned from one status to another.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
conditions.message (string)
Human-readable message indicating details about last transition.
conditions.reason (string)
Unique, one-word, CamelCase reason for the condition's last transition.
Container's ID in the format 'docker://<container_id>'.
initContainerStatuses.state (ContainerState)
Details about the container's current condition.
ContainerState holds a possible state of container. Only one of its members may be specified. If none of them is specified, the default one is ContainerStateWaiting.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time at which previous execution of the container started
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Details about the container's last termination condition.
ContainerState holds a possible state of container. Only one of its members may be specified. If none of them is specified, the default one is ContainerStateWaiting.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time at which previous execution of the container started
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
The number of times the container has been restarted, currently based on the number of dead containers that have not yet been removed. Note that this is calculated from dead containers. But those containers are subject to garbage collection. This value will get capped at 5 by GC.
initContainerStatuses.started (boolean)
Specifies whether the container has passed its startup probe. Initialized as false, becomes true after startupProbe is considered successful. Resets to false when the container is restarted, or if kubelet loses state temporarily. Is always true when no startupProbe is defined.
Container's ID in the format 'docker://<container_id>'.
containerStatuses.state (ContainerState)
Details about the container's current condition.
ContainerState holds a possible state of container. Only one of its members may be specified. If none of them is specified, the default one is ContainerStateWaiting.
ContainerStateRunning is a running state of a container.
containerStatuses.state.running.startedAt (Time)
Time at which the container was last (re-)started
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time at which previous execution of the container started
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
ContainerStateWaiting is a waiting state of a container.
containerStatuses.state.waiting.message (string)
Message regarding why the container is not yet running.
containerStatuses.state.waiting.reason (string)
(brief) reason the container is not yet running.
containerStatuses.lastState (ContainerState)
Details about the container's last termination condition.
ContainerState holds a possible state of container. Only one of its members may be specified. If none of them is specified, the default one is ContainerStateWaiting.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time at which previous execution of the container started
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Specifies whether the container has passed its readiness probe.
containerStatuses.restartCount (int32), required
The number of times the container has been restarted, currently based on the number of dead containers that have not yet been removed. Note that this is calculated from dead containers. But those containers are subject to garbage collection. This value will get capped at 5 by GC.
containerStatuses.started (boolean)
Specifies whether the container has passed its startup probe. Initialized as false, becomes true after startupProbe is considered successful. Resets to false when the container is restarted, or if kubelet loses state temporarily. Is always true when no startupProbe is defined.
ephemeralContainerStatuses ([]ContainerStatus)
Status for any ephemeral containers that have run in this pod. This field is alpha-level and is only populated by servers that enable the EphemeralContainers feature.
ContainerStatus contains details for the current status of this container.
Container's ID in the format 'docker://<container_id>'.
ephemeralContainerStatuses.state (ContainerState)
Details about the container's current condition.
ContainerState holds a possible state of container. Only one of its members may be specified. If none of them is specified, the default one is ContainerStateWaiting.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time at which previous execution of the container started
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Details about the container's last termination condition.
ContainerState holds a possible state of container. Only one of its members may be specified. If none of them is specified, the default one is ContainerStateWaiting.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time at which previous execution of the container started
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
The number of times the container has been restarted, currently based on the number of dead containers that have not yet been removed. Note that this is calculated from dead containers. But those containers are subject to garbage collection. This value will get capped at 5 by GC.
ephemeralContainerStatuses.started (boolean)
Specifies whether the container has passed its startup probe. Initialized as false, becomes true after startupProbe is considered successful. Resets to false when the container is restarted, or if kubelet loses state temporarily. Is always true when no startupProbe is defined.
The container for which to stream logs. Defaults to only container if there is one container in the pod.
follow (in query): boolean
Follow the log stream of the pod. Defaults to false.
insecureSkipTLSVerifyBackend (in query): boolean
insecureSkipTLSVerifyBackend indicates that the apiserver should not confirm the validity of the serving certificate of the backend it is connecting to. This will make the HTTPS connection between the apiserver and the backend insecure. This means the apiserver cannot verify the log data it is receiving came from the real kubelet. If the kubelet is configured to verify the apiserver's TLS credentials, it does not mean the connection to the real kubelet is vulnerable to a man in the middle attack (e.g. an attacker could not intercept the actual log data coming from the real kubelet).
limitBytes (in query): integer
If set, the number of bytes to read from the server before terminating the log output. This may not display a complete final line of logging, and may return slightly more or slightly less than the specified limit.
Return previous terminated container logs. Defaults to false.
sinceSeconds (in query): integer
A relative time in seconds before the current time from which to show logs. If this value precedes the time a pod was started, only logs since the pod start will be returned. If this value is in the future, no logs will be returned. Only one of sinceSeconds or sinceTime may be specified.
tailLines (in query): integer
If set, the number of lines from the end of the logs to show. If not specified, logs are shown from the creation of the container or sinceSeconds or sinceTime
timestamps (in query): boolean
If true, add an RFC3339 or RFC3339Nano timestamp at the beginning of every line of log output. Defaults to false.
Response
200 (string): OK
401: Unauthorized
get read status of the specified Pod
HTTP Request
GET /api/v1/namespaces/{namespace}/pods/{name}/status
A list of ephemeral containers associated with this pod. New ephemeral containers may be appended to this list, but existing ephemeral containers may not be removed or modified.
EphemeralContainer
An EphemeralContainer is a container that may be added temporarily to an existing pod for user-initiated activities such as debugging. Ephemeral containers have no resource or scheduling guarantees, and they will not be restarted when they exit or when a pod is removed or restarted. If an ephemeral container causes a pod to exceed its resource allocation, the pod may be evicted. Ephemeral containers may not be added by directly updating the pod spec. They must be added via the pod's ephemeralcontainers subresource, and they will appear in the pod spec once added. This is an alpha feature enabled by the EphemeralContainers feature flag.
name (string), required
Name of the ephemeral container specified as a DNS_LABEL. This name must be unique among all containers, init containers and ephemeral containers.
targetContainerName (string)
If set, the name of the container from PodSpec that this ephemeral container targets. The ephemeral container will be run in the namespaces (IPC, PID, etc) of this container. If not set then the ephemeral container is run in whatever namespaces are shared for the pod. Note that the container runtime must support this feature.
Entrypoint array. Not executed within a shell. The docker image's ENTRYPOINT is used if this is not provided. Variable references $(VAR_NAME) are expanded using the container's environment. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not. Cannot be updated. More info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell
args ([]string)
Arguments to the entrypoint. The docker image's CMD is used if this is not provided. Variable references $(VAR_NAME) are expanded using the container's environment. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not. Cannot be updated. More info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell
workingDir (string)
Container's working directory. If not specified, the container runtime's default will be used, which might be configured in the container image. Cannot be updated.
Environment variables
env ([]EnvVar)
Patch strategy: merge on key name
List of environment variables to set in the container. Cannot be updated.
EnvVar represents an environment variable present in a Container.
env.name (string), required
Name of the environment variable. Must be a C_IDENTIFIER.
env.value (string)
Variable references $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not. Defaults to "".
env.valueFrom (EnvVarSource)
Source for the environment variable's value. Cannot be used if value is not empty.
EnvVarSource represents a source for the value of an EnvVar.
Selects a field of the pod: supports metadata.name, metadata.namespace, metadata.labels['\<KEY>'], metadata.annotations['\<KEY>'], spec.nodeName, spec.serviceAccountName, status.hostIP, status.podIP, status.podIPs.
Selects a resource of the container: only resources limits and requests (limits.cpu, limits.memory, limits.ephemeral-storage, requests.cpu, requests.memory and requests.ephemeral-storage) are currently supported.
env.valueFrom.secretKeyRef (SecretKeySelector)
Selects a key of a secret in the pod's namespace
SecretKeySelector selects a key of a Secret.
env.valueFrom.secretKeyRef.key (string), required
The key of the secret to select from. Must be a valid secret key.
Specify whether the Secret or its key must be defined
envFrom ([]EnvFromSource)
List of sources to populate environment variables in the container. The keys defined within a source must be a C_IDENTIFIER. All invalid keys will be reported as an event when the container is starting. When a key exists in multiple sources, the value associated with the last source will take precedence. Values defined by an Env with a duplicate key will take precedence. Cannot be updated.
EnvFromSource represents the source of a set of ConfigMaps
envFrom.configMapRef (ConfigMapEnvSource)
The ConfigMap to select from
*ConfigMapEnvSource selects a ConfigMap to populate the environment variables with.
The contents of the target ConfigMap's Data field will represent the key-value pairs as environment variables.*
Pod volumes to mount into the container's filesystem. Cannot be updated.
VolumeMount describes a mounting of a Volume within a container.
volumeMounts.mountPath (string), required
Path within the container at which the volume should be mounted. Must not contain ':'.
volumeMounts.name (string), required
This must match the Name of a Volume.
volumeMounts.mountPropagation (string)
mountPropagation determines how mounts are propagated from the host to container and the other way around. When not set, MountPropagationNone is used. This field is beta in 1.10.
volumeMounts.readOnly (boolean)
Mounted read-only if true, read-write otherwise (false or unspecified). Defaults to false.
volumeMounts.subPath (string)
Path within the volume from which the container's volume should be mounted. Defaults to "" (volume's root).
volumeMounts.subPathExpr (string)
Expanded path within the volume from which the container's volume should be mounted. Behaves similarly to SubPath but environment variable references $(VAR_NAME) are expanded using the container's environment. Defaults to "" (volume's root). SubPathExpr and SubPath are mutually exclusive.
volumeDevices ([]VolumeDevice)
Patch strategy: merge on key devicePath
volumeDevices is the list of block devices to be used by the container.
volumeDevice describes a mapping of a raw block device within a container.
volumeDevices.devicePath (string), required
devicePath is the path inside of the container that the device will be mapped to.
volumeDevices.name (string), required
name must match the name of a persistentVolumeClaim in the pod
Lifecycle
terminationMessagePath (string)
Optional: Path at which the file to which the container's termination message will be written is mounted into the container's filesystem. Message written is intended to be brief final status, such as an assertion failure message. Will be truncated by the node if greater than 4096 bytes. The total message length across all containers will be limited to 12kb. Defaults to /dev/termination-log. Cannot be updated.
terminationMessagePolicy (string)
Indicate how the termination message should be populated. File will use the contents of terminationMessagePath to populate the container status message on both success and failure. FallbackToLogsOnError will use the last chunk of container log output if the termination message file is empty and the container exited with an error. The log output is limited to 2048 bytes or 80 lines, whichever is smaller. Defaults to File. Cannot be updated.
Debugging
stdin (boolean)
Whether this container should allocate a buffer for stdin in the container runtime. If this is not set, reads from stdin in the container will always result in EOF. Default is false.
stdinOnce (boolean)
Whether the container runtime should close the stdin channel after it has been opened by a single attach. When stdin is true the stdin stream will remain open across multiple attach sessions. If stdinOnce is set to true, stdin is opened on container start, is empty until the first client attaches to stdin, and then remains open and accepts data until the client disconnects, at which time stdin is closed and remains closed until the container is restarted. If this flag is false, a container processes that reads from stdin will never receive an EOF. Default is false
tty (boolean)
Whether this container should allocate a TTY for itself, also requires 'stdin' to be true. Default is false.
Not allowed
ports ([]ContainerPort)
Ports are not allowed for ephemeral containers.
ContainerPort represents a network port in a single container.
ports.containerPort (int32), required
Number of port to expose on the pod's IP address. This must be a valid port number, 0 < x < 65536.
ports.hostIP (string)
What host IP to bind the external port to.
ports.hostPort (int32)
Number of port to expose on the host. If specified, this must be a valid port number, 0 < x < 65536. If HostNetwork is specified, this must match ContainerPort. Most containers do not need this.
ports.name (string)
If specified, this must be an IANA_SVC_NAME and unique within the pod. Each named port in a pod must have a unique name. Name for the port that can be referred to by services.
ports.protocol (string)
Protocol for port. Must be UDP, TCP, or SCTP. Defaults to "TCP".
resources (ResourceRequirements)
Resources are not allowed for ephemeral containers. Ephemeral containers use spare resources already allocated to the pod.
ResourceRequirements describes the compute resource requirements.
Lifecycle is not allowed for ephemeral containers.
Lifecycle describes actions that the management system should take in response to container lifecycle events. For the PostStart and PreStop lifecycle handlers, management of the container blocks until the action is complete, unless the container process fails, in which case the handler is aborted.
PreStop is called immediately before a container is terminated due to an API request or management event such as liveness/startup probe failure, preemption, resource contention, etc. The handler is not called if the container crashes or exits. The reason for termination is passed to the handler. The Pod's termination grace period countdown begins before the PreStop hooked is executed. Regardless of the outcome of the handler, the container will eventually terminate within the Pod's termination grace period. Other management of the container blocks until the hook completes or until the termination grace period is reached. More info: https://kubernetes.io/docs/concepts/containers/container-lifecycle-hooks/#container-hooks
SecurityContext is not allowed for ephemeral containers.
SecurityContext holds security configuration that will be applied to a container. Some fields are present in both SecurityContext and PodSecurityContext. When both are set, the values in SecurityContext take precedence.
securityContext.runAsUser (int64)
The UID to run the entrypoint of the container process. Defaults to user specified in image metadata if unspecified. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
securityContext.runAsNonRoot (boolean)
Indicates that the container must run as a non-root user. If true, the Kubelet will validate the image at runtime to ensure that it does not run as UID 0 (root) and fail to start the container if it does. If unset or false, no such validation will be performed. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
securityContext.runAsGroup (int64)
The GID to run the entrypoint of the container process. Uses runtime default if unset. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
securityContext.readOnlyRootFilesystem (boolean)
Whether this container has a read-only root filesystem. Default is false.
securityContext.procMount (string)
procMount denotes the type of proc mount to use for the containers. The default is DefaultProcMount which uses the container runtime defaults for readonly paths and masked paths. This requires the ProcMountType feature flag to be enabled.
securityContext.privileged (boolean)
Run container in privileged mode. Processes in privileged containers are essentially equivalent to root on the host. Defaults to false.
AllowPrivilegeEscalation controls whether a process can gain more privileges than its parent process. This bool directly controls if the no_new_privs flag will be set on the container process. AllowPrivilegeEscalation is true always when the container is: 1) run as Privileged 2) has CAP_SYS_ADMIN
securityContext.capabilities (Capabilities)
The capabilities to add/drop when running containers. Defaults to the default set of capabilities granted by the container runtime.
Adds and removes POSIX capabilities from running containers.
securityContext.capabilities.add ([]string)
Added capabilities
securityContext.capabilities.drop ([]string)
Removed capabilities
securityContext.seccompProfile (SeccompProfile)
The seccomp options to use by this container. If seccomp options are provided at both the pod & container level, the container options override the pod options.
SeccompProfile defines a pod/container's seccomp profile settings. Only one profile source may be set.
type indicates which kind of seccomp profile will be applied. Valid options are:
Localhost - a profile defined in a file on the node should be used. RuntimeDefault - the container runtime default profile should be used. Unconfined - no profile should be applied.
localhostProfile indicates a profile defined in a file on the node should be used. The profile must be preconfigured on the node to work. Must be a descending path, relative to the kubelet's configured seccomp profile location. Must only be set if type is "Localhost".
securityContext.seLinuxOptions (SELinuxOptions)
The SELinux context to be applied to the container. If unspecified, the container runtime will allocate a random SELinux context for each container. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
SELinuxOptions are the labels to be applied to the container
securityContext.seLinuxOptions.level (string)
Level is SELinux level label that applies to the container.
securityContext.seLinuxOptions.role (string)
Role is a SELinux role label that applies to the container.
securityContext.seLinuxOptions.type (string)
Type is a SELinux type label that applies to the container.
securityContext.seLinuxOptions.user (string)
User is a SELinux user label that applies to the container.
The Windows specific settings applied to all containers. If unspecified, the options from the PodSecurityContext will be used. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
WindowsSecurityContextOptions contain Windows-specific options and credentials.
GMSACredentialSpec is where the GMSA admission webhook (https://github.com/kubernetes-sigs/windows-gmsa) inlines the contents of the GMSA credential spec named by the GMSACredentialSpecName field.
The UserName in Windows to run the entrypoint of the container process. Defaults to the user specified in image metadata if unspecified. May also be set in PodSecurityContext. If set in both SecurityContext and PodSecurityContext, the value specified in SecurityContext takes precedence.
ReplicationControllerSpec is the specification of a replication controller.
selector (map[string]string)
Selector is a label query over pods that should match the Replicas count. If Selector is empty, it is defaulted to the labels present on the Pod template. Label keys and values that must match in order to be controlled by this replication controller, if empty defaulted to labels on Pod template. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/#label-selectors
Minimum number of seconds for which a newly created pod should be ready without any of its container crashing, for it to be considered available. Defaults to 0 (pod will be considered available as soon as it is ready)
ReplicationControllerStatus
ReplicationControllerStatus represents the current status of a replication controller.
The number of available replicas (ready for at least minReadySeconds) for this replication controller.
readyReplicas (int32)
The number of ready replicas for this replication controller.
fullyLabeledReplicas (int32)
The number of pods that have labels matching the labels of the pod template of the replication controller.
conditions ([]ReplicationControllerCondition)
Patch strategy: merge on key type
Represents the latest available observations of a replication controller's current state.
ReplicationControllerCondition describes the state of a replication controller at a certain point.
conditions.status (string), required
Status of the condition, one of True, False, Unknown.
conditions.type (string), required
Type of replication controller condition.
conditions.lastTransitionTime (Time)
The last time the condition transitioned from one status to another.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
conditions.message (string)
A human readable message indicating details about the transition.
conditions.reason (string)
The reason for the condition's last transition.
observedGeneration (int64)
ObservedGeneration reflects the generation of the most recently observed replication controller.
ReplicationControllerList
ReplicationControllerList is a collection of replication controllers.
Minimum number of seconds for which a newly created pod should be ready without any of its container crashing, for it to be considered available. Defaults to 0 (pod will be considered available as soon as it is ready)
ReplicaSetStatus
ReplicaSetStatus represents the current status of a ReplicaSet.
The number of available replicas (ready for at least minReadySeconds) for this replica set.
readyReplicas (int32)
The number of ready replicas for this replica set.
fullyLabeledReplicas (int32)
The number of pods that have labels matching the labels of the pod template of the replicaset.
conditions ([]ReplicaSetCondition)
Patch strategy: merge on key type
Represents the latest available observations of a replica set's current state.
ReplicaSetCondition describes the state of a replica set at a certain point.
conditions.status (string), required
Status of the condition, one of True, False, Unknown.
conditions.type (string), required
Type of replica set condition.
conditions.lastTransitionTime (Time)
The last time the condition transitioned from one status to another.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
conditions.message (string)
A human readable message indicating details about the transition.
conditions.reason (string)
The reason for the condition's last transition.
observedGeneration (int64)
ObservedGeneration reflects the generation of the most recently observed ReplicaSet.
Label selector for pods. Existing ReplicaSets whose pods are selected by this will be the ones affected by this deployment. It must match the pod template's labels.
Number of desired pods. This is a pointer to distinguish between explicit zero and not specified. Defaults to 1.
minReadySeconds (int32)
Minimum number of seconds for which a newly created pod should be ready without any of its container crashing, for it to be considered available. Defaults to 0 (pod will be considered available as soon as it is ready)
strategy (DeploymentStrategy)
Patch strategy: retainKeys
The deployment strategy to use to replace existing pods with new ones.
DeploymentStrategy describes how to replace existing pods with new ones.
strategy.type (string)
Type of deployment. Can be "Recreate" or "RollingUpdate". Default is RollingUpdate.
strategy.rollingUpdate (RollingUpdateDeployment)
Rolling update config params. Present only if DeploymentStrategyType = RollingUpdate.
Spec to control the desired behavior of rolling update.
strategy.rollingUpdate.maxSurge (IntOrString)
The maximum number of pods that can be scheduled above the desired number of pods. Value can be an absolute number (ex: 5) or a percentage of desired pods (ex: 10%). This can not be 0 if MaxUnavailable is 0. Absolute number is calculated from percentage by rounding up. Defaults to 25%. Example: when this is set to 30%, the new ReplicaSet can be scaled up immediately when the rolling update starts, such that the total number of old and new pods do not exceed 130% of desired pods. Once old pods have been killed, new ReplicaSet can be scaled up further, ensuring that total number of pods running at any time during the update is at most 130% of desired pods.
IntOrString is a type that can hold an int32 or a string. When used in JSON or YAML marshalling and unmarshalling, it produces or consumes the inner type. This allows you to have, for example, a JSON field that can accept a name or number.
The maximum number of pods that can be unavailable during the update. Value can be an absolute number (ex: 5) or a percentage of desired pods (ex: 10%). Absolute number is calculated from percentage by rounding down. This can not be 0 if MaxSurge is 0. Defaults to 25%. Example: when this is set to 30%, the old ReplicaSet can be scaled down to 70% of desired pods immediately when the rolling update starts. Once new pods are ready, old ReplicaSet can be scaled down further, followed by scaling up the new ReplicaSet, ensuring that the total number of pods available at all times during the update is at least 70% of desired pods.
IntOrString is a type that can hold an int32 or a string. When used in JSON or YAML marshalling and unmarshalling, it produces or consumes the inner type. This allows you to have, for example, a JSON field that can accept a name or number.
revisionHistoryLimit (int32)
The number of old ReplicaSets to retain to allow rollback. This is a pointer to distinguish between explicit zero and not specified. Defaults to 10.
progressDeadlineSeconds (int32)
The maximum time in seconds for a deployment to make progress before it is considered to be failed. The deployment controller will continue to process failed deployments and a condition with a ProgressDeadlineExceeded reason will be surfaced in the deployment status. Note that progress will not be estimated during the time a deployment is paused. Defaults to 600s.
paused (boolean)
Indicates that the deployment is paused.
DeploymentStatus
DeploymentStatus is the most recently observed status of the Deployment.
replicas (int32)
Total number of non-terminated pods targeted by this deployment (their labels match the selector).
availableReplicas (int32)
Total number of available pods (ready for at least minReadySeconds) targeted by this deployment.
readyReplicas (int32)
Total number of ready pods targeted by this deployment.
unavailableReplicas (int32)
Total number of unavailable pods targeted by this deployment. This is the total number of pods that are still required for the deployment to have 100% available capacity. They may either be pods that are running but not yet available or pods that still have not been created.
updatedReplicas (int32)
Total number of non-terminated pods targeted by this deployment that have the desired template spec.
collisionCount (int32)
Count of hash collisions for the Deployment. The Deployment controller uses this field as a collision avoidance mechanism when it needs to create the name for the newest ReplicaSet.
conditions ([]DeploymentCondition)
Patch strategy: merge on key type
Represents the latest available observations of a deployment's current state.
DeploymentCondition describes the state of a deployment at a certain point.
conditions.status (string), required
Status of the condition, one of True, False, Unknown.
conditions.type (string), required
Type of deployment condition.
conditions.lastTransitionTime (Time)
Last time the condition transitioned from one status to another.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
conditions.lastUpdateTime (Time)
The last time this condition was updated.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
conditions.message (string)
A human readable message indicating details about the transition.
conditions.reason (string)
The reason for the condition's last transition.
observedGeneration (int64)
The generation observed by the deployment controller.
Status is the current status of Pods in this StatefulSet. This data may be out of date by some window of time.
StatefulSetSpec
A StatefulSetSpec is the specification of a StatefulSet.
serviceName (string), required
serviceName is the name of the service that governs this StatefulSet. This service must exist before the StatefulSet, and is responsible for the network identity of the set. Pods get DNS/hostnames that follow the pattern: pod-specific-string.serviceName.default.svc.cluster.local where "pod-specific-string" is managed by the StatefulSet controller.
template is the object that describes the pod that will be created if insufficient replicas are detected. Each pod stamped out by the StatefulSet will fulfill this Template, but have a unique identity from the rest of the StatefulSet.
replicas (int32)
replicas is the desired number of replicas of the given Template. These are replicas in the sense that they are instantiations of the same Template, but individual replicas also have a consistent identity. If unspecified, defaults to 1.
updateStrategy (StatefulSetUpdateStrategy)
updateStrategy indicates the StatefulSetUpdateStrategy that will be employed to update Pods in the StatefulSet when a revision is made to Template.
StatefulSetUpdateStrategy indicates the strategy that the StatefulSet controller will use to perform updates. It includes any additional parameters necessary to perform the update for the indicated strategy.
updateStrategy.type (string)
Type indicates the type of the StatefulSetUpdateStrategy. Default is RollingUpdate.
RollingUpdate is used to communicate parameters when Type is RollingUpdateStatefulSetStrategyType.
RollingUpdateStatefulSetStrategy is used to communicate parameter for RollingUpdateStatefulSetStrategyType.
updateStrategy.rollingUpdate.partition (int32)
Partition indicates the ordinal at which the StatefulSet should be partitioned. Default value is 0.
podManagementPolicy (string)
podManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down. The default policy is OrderedReady, where pods are created in increasing order (pod-0, then pod-1, etc) and the controller will wait until each pod is ready before continuing. When scaling down, the pods are removed in the opposite order. The alternative policy is Parallel which will create pods in parallel to match the desired scale without waiting, and on scale down will delete all pods at once.
revisionHistoryLimit (int32)
revisionHistoryLimit is the maximum number of revisions that will be maintained in the StatefulSet's revision history. The revision history consists of all revisions not represented by a currently applied StatefulSetSpec version. The default value is 10.
volumeClaimTemplates is a list of claims that pods are allowed to reference. The StatefulSet controller is responsible for mapping network identities to claims in a way that maintains the identity of a pod. Every claim in this list must have at least one matching (by name) volumeMount in one container in the template. A claim in this list takes precedence over any volumes in the template, with the same name.
StatefulSetStatus
StatefulSetStatus represents the current state of a StatefulSet.
replicas (int32), required
replicas is the number of Pods created by the StatefulSet controller.
readyReplicas (int32)
readyReplicas is the number of Pods created by the StatefulSet controller that have a Ready Condition.
currentReplicas (int32)
currentReplicas is the number of Pods created by the StatefulSet controller from the StatefulSet version indicated by currentRevision.
updatedReplicas (int32)
updatedReplicas is the number of Pods created by the StatefulSet controller from the StatefulSet version indicated by updateRevision.
collisionCount (int32)
collisionCount is the count of hash collisions for the StatefulSet. The StatefulSet controller uses this field as a collision avoidance mechanism when it needs to create the name for the newest ControllerRevision.
conditions ([]StatefulSetCondition)
Patch strategy: merge on key type
Represents the latest available observations of a statefulset's current state.
StatefulSetCondition describes the state of a statefulset at a certain point.
conditions.status (string), required
Status of the condition, one of True, False, Unknown.
conditions.type (string), required
Type of statefulset condition.
conditions.lastTransitionTime (Time)
Last time the condition transitioned from one status to another.
Time is a wrapper around time.Time which supports correct marshaling to YAML and JSON. Wrappers are provided for many of the factory methods that the time package offers.
conditions.message (string)
A human readable message indicating details about the transition.
conditions.reason (string)
The reason for the condition's last transition.
currentRevision (string)
currentRevision, if not empty, indicates the version of the StatefulSet used to generate Pods in the sequence [0,currentReplicas).
updateRevision (string)
updateRevision, if not empty, indicates the version of the StatefulSet used to generate Pods in the sequence [replicas-updatedReplicas,replicas)
observedGeneration (int64)
observedGeneration is the most recent generation observed for this StatefulSet. It corresponds to the StatefulSet's generation, which is updated on mutation by the API Server.
