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Standardisiertes Glossar
Dieses Glossar soll eine umfassende, standardisierte Liste der Kubernetes-Terminologie darstellen. Es enthält technische Begriffe, die für K8 spezifisch sind, sowie allgemeinere Begriffe, die einen nützlichen Kontext bieten.
Begriffe nach ihren Tags filtern
.
Architecture
Community
Core Object
Extension
Fundamental
Networking
Operation
Security
Storage
Tool
User Type
Workload
Alle auswählen
Alle abwählenKlicken Sie auf die [+] Indikatoren unten, um eine längere Erklärung für einen bestimmten Begriff zu erhalten.
In Kubernetes, ist Affinität ein Satz Regeln, die dem Scheduler Hinweise geben, wo er Pods platzieren soll.
[+]Es gibt zwei Arten Affinität:
Die Regeln werden mithilfe der in Pods angegebenen Label und Selektoren definiert, und sie können entweder erforderlich oder bevorzugt sein, je nachdem wie streng sie möchten, dass der Scheduler sie durchsetzen soll.
Ein Key-Value Paar, dass verwendet wird um willkürliche, nicht-identifizierende Metadaten an Objekte zu binden.
[+]Die Metadaten in einer Annotation können klein oder groß sein, strukturiert oder unstrukturiert, und können Zeichen enthalten, die nicht in Label erlaubt sind. Clients wie Tools oder Libraries können diese Metadaten abfragen.
- Die Schicht, in der verschiedene containerisierte Anwendungen laufen. [+]
Die Schicht, in der verschiedene containerisierte Anwendungen laufen.
Ein Satz zugehöriger Pfade in der Kubernetes API.
[+]Sie können jedeAPI Gruppe ein- oder ausschalten durch Änderung der Konfiguration Ihres API Servers. Sie können auch Pfade zu spezifischen Ressourcen ein- oder ausschalten. API Gruppe vereinfacht die Erweiterung der Kubernetes API. Die API Gruppe ist festgelegt durch einen REST Pfad und durch das
apiVersion
Feld eines serialisierten Objekts.- Siehe API Gruppe für mehr Informationen.
Eine Gruppe Linux Prozesse mit optionaler Isolation, Erfassung und Begrenzung der Ressourcen.
[+]cgroup ist eine Funktion des Linux Kernels, dass die Ressourcennutzung (CPU, Speicher, Platten I/O, Netzwerk) begrenzt, erfasst und isoliert, für eine Sammling Prozesse.
Ein Satz Arbeitermaschinen, gennant Knoten, die containerisierte Anwendungen ausführen. Jedes Cluster hat mindestens einen Arbeiterknoten.
[+]Die Arbeiterknoten bringen die Pods unter, die die Komponenten der Applikationslast sind. Die Control Plane verwaltet die Arbeiterknoten und Pods im Cluster. In Produktionsumgebungen läuft die Control Plane meistens über mehrere Computer, und ein Cluster hat meistens mehrere Knoten, um Fehlertoleranz und Hochverfügbarkeit zu ermöglichen.
Ein kleines und portierbares ausführbares Image, dass eine Software und all seine Abhängigkeiten enthält.
[+]Container entkuppeln Anwendungen von der darunterliegenden Rechner Infrastruktur, um den Einsatz in verschiedenen Cloud- oder Betriebssystemumgebungen zu vereinfachen. Die Anwendungen in Container nennt man Containerisierte Anwendungen. Der Prozess des Bündelns dieser Anwendungen und ihrer Abhängigkeiten in einem Container Image nennt man Containerisierung.
Container environment variables are name=value pairs that provide useful information into containers running in a pod
[+]Container environment variables provide information that is required by the running containerized applications along with information about important resources to the containers. For example, file system details, information about the container itself, and other cluster resources such as service endpoints.
A fundamental component that empowers Kubernetes to run containers effectively. It is responsible for managing the execution and lifecycle of containers within the Kubernetes environment.
[+]Kubernetes supports container runtimes such as containerd, CRI-O, and any other implementation of the Kubernetes CRI (Container Runtime Interface).
The main protocol for the communication between the kubelet and Container Runtime.
[+]The Kubernetes Container Runtime Interface (CRI) defines the main gRPC protocol for the communication between the node components kubelet and container runtime.
Die Container Orchestrierungsschicht, die die API und Schnittstellen exponiert, um den Lebenszyklus von Container zu definieren, bereitzustellen, und zu verwalten.
[+]Diese Schicht besteht aus vielen verschiedenen Komponenten, zum Beispiel (aber nicht begranzt auf):
Diese Komponenten können als traditionelle Betriebssystemdienste (daemons) oder als Container laufen. Die Hosts auf denen diese Komponenten laufen, hießen früher Master.
In Kubernetes sind Controller Kontrollschleifen, die den Zustand des Clusters überwachen und bei Bedarf Änderungen ausführen oder anfordern. Jeder Controller versucht, den aktuellen Clusterzustand in Richtung des Wunschzustands zu bewegen.
[+]Controller beobachten den geteilten Zustand des Clusters durch den API Server (Teil der Control Plane).
Mache Controller, laufen auch im Control Plane, und stellen Kontrollschleifen zur Verfügung, die essentiell für die grundlegende Kubernetes Funktionalität sind. Zum Beispiel: der Deployment Controller, der Daemonset Controller, der Namespace Controller und der Persistent Volume Controller (unter anderem) laufen alle innerhalb des Kube Controller Managers.
Custom code that defines a resource to add to your Kubernetes API server without building a complete custom server.
[+]Custom Resource Definitions let you extend the Kubernetes API for your environment if the publicly supported API resources can't meet your needs.
- The layer that provides capacity such as CPU, memory, network, and storage so that the containers can run and connect to a network. [+]
The layer that provides capacity such as CPU, memory, network, and storage so that the containers can run and connect to a network.
Ein API Object, das eine replizierte Anwendung verwaltet, typischerweise durch laufende Pods ohne lokalem Zustand.
[+]Jedes Replikat wird durch ein Pod repräsentiert, und die Pods werden auf den Knoten eines Clusters verteilt. Für Arbeitslasten, die einen lokalen Zustand benötigen, sollten Sie einen StatefulSet verwenden.
Device plugins run on worker Nodes and provide Pods with access to resources, such as local hardware, that require vendor-specific initialization or setup steps.
[+]Device plugins advertise resources to the kubelet, so that workload Pods can access hardware features that relate to the Node where that Pod is running. You can deploy a device plugin as a DaemonSet, or install the device plugin software directly on each target Node.
See Device Plugins for more information.
Disruptions are events that lead to one or more Pods going out of service. A disruption has consequences for workload resources, such as Deployment, that rely on the affected Pods.
[+]If you, as cluster operator, destroy a Pod that belongs to an application, Kubernetes terms that a voluntary disruption. If a Pod goes offline because of a Node failure, or an outage affecting a wider failure zone, Kubernetes terms that an involuntary disruption.
See Disruptions for more information.
Docker (genauer gesagt, Docker Engine) ist eine Software Technologie, die Virtualisierung auf Betriebssystemebene (auch bekannt als Container) bereitstellt.
[+]Docker verwendet die Ressourcenisolierungsfunktionen des Linux Kernels, wie cgroups und Kernel Namespaces, und ein Unionsfähiges Dateisystem wie OverlayFS (unter anderem), um unabhängige Container auf einer einzigen Linux Instanz auszuführen. Dies vermeidet den Mehraufwand des Starten und Verwalten virtueller Maschinen (VMs).
The dockershim is a component of Kubernetes version 1.23 and earlier. It allows the kubelet to communicate with Docker Engine.
[+]Starting with version 1.24, dockershim has been removed from Kubernetes. For more information, see Dockershim FAQ.
A string value representing an amount of time.
[+]The format of a (Kubernetes) duration is based on the
time.Duration
type from the Go programming language.In Kubernetes APIs that use durations, the value is expressed as series of a non-negative integers combined with a time unit suffix. You can have more than one time quantity and the duration is the sum of those time quantities. The valid time units are "ns", "µs" (or "us"), "ms", "s", "m", and "h".
For example:
5s
represents a duration of five seconds, and1m30s
represents a duration of one minute and thirty seconds.A Container type that you can temporarily run inside a Pod.
[+]If you want to investigate a Pod that's running with problems, you can add an ephemeral container to that Pod and carry out diagnostics. Ephemeral containers have no resource or scheduling guarantees, and you should not use them to run any part of the workload itself.
Ephemeral containers are not supported by static pods.
Event is a Kubernetes object that describes state change/notable occurrences in the system.
[+]Events have a limited retention time and triggers and messages may evolve with time. Event consumers should not rely on the timing of an event with a given reason reflecting a consistent underlying trigger, or the continued existence of events with that reason.
Events should be treated as informative, best-effort, supplemental data.
In Kubernetes, auditing generates a different kind of Event record (API group
audit.k8s.io
).Extensions are software components that extend and deeply integrate with Kubernetes to support new types of hardware.
[+]Many cluster administrators use a hosted or distribution instance of Kubernetes. These clusters come with extensions pre-installed. As a result, most Kubernetes users will not need to install extensions and even fewer users will need to author new ones.
Feature gates are a set of keys (opaque string values) that you can use to control which Kubernetes features are enabled in your cluster.
[+]You can turn these features on or off using the
--feature-gates
command line flag on each Kubernetes component. Each Kubernetes component lets you enable or disable a set of feature gates that are relevant to that component. The Kubernetes documentation lists all current feature gates and what they control.Finalizers are namespaced keys that tell Kubernetes to wait until specific conditions are met before it fully deletes resources marked for deletion. Finalizers alert controllers to clean up resources the deleted object owned.
[+]When you tell Kubernetes to delete an object that has finalizers specified for it, the Kubernetes API marks the object for deletion by populating
.metadata.deletionTimestamp
, and returns a202
status code (HTTP "Accepted"). The target object remains in a terminating state while the control plane, or other components, take the actions defined by the finalizers. After these actions are complete, the controller removes the relevant finalizers from the target object. When themetadata.finalizers
field is empty, Kubernetes considers the deletion complete and deletes the object.You can use finalizers to control garbage collection of resources. For example, you can define a finalizer to clean up related resources or infrastructure before the controller deletes the target resource.
Garbage collection is a collective term for the various mechanisms Kubernetes uses to clean up cluster resources.
[+]Kubernetes uses garbage collection to clean up resources like unused containers and images, failed Pods, objects owned by the targeted resource, completed Jobs, and resources that have expired or failed.
Stored instance of a Container that holds a set of software needed to run an application.
[+]A way of packaging software that allows it to be stored in a container registry, pulled to a local system, and run as an application. Meta data is included in the image that can indicate what executable to run, who built it, and other information.
One or more initialization containers that must run to completion before any app containers run.
[+]Initialization (init) containers are like regular app containers, with one difference: init containers must run to completion before any app containers can start. Init containers run in series: each init container must run to completion before the next init container begins.
Unlike sidecar containers, init containers do not remain running after Pod startup.
For more information, read init containers.
Ein Knoten ist eine Arbietermaschine in Kubernetes.
[+]Ein Arbeiterknoten kann eine virtuelle Maschine oder physische Maschine sein, abhängig vom Cluster. Es hat lokale Daemons und Dienste, die nötig sind um Pods auszuführen, und wird von der Control Plane administriert. Die Daemonen auf einem Knoten beinhalten auch das kubelet, kube-proxy, und eine Container Runtime, die ein CRI, wie zum Beispiel Docker. implementieren.
In älteren Kubernetes Versionen wurden Knoten "Minions" genannt.
Komponente auf der Control Plane, die die Kubernetes-API verfügbar macht. Es ist das Frontend für die Kubernetes-Steuerebene.
[+]Es ist für die horizontale Skalierung konzipiert, d.h. es skaliert durch die Bereitstellung von mehr Instanzen. Mehr informationen finden Sie unter Cluster mit hoher Verfügbarkeit erstellen.
Komponente auf der Control Plane, auf der Controller ausgeführt werden.
[+]Logisch gesehen ist jeder Controller ein separater Prozess, aber zur Vereinfachung der Komplexität werden sie alle zu einer einzigen Binärdatei zusammengefasst und in einem einzigen Prozess ausgeführt.
kube-proxy is a network proxy that runs on each node in your cluster, implementing part of the Kubernetes Service concept.
[+]kube-proxy maintains network rules on nodes. These network rules allow network communication to your Pods from network sessions inside or outside of your cluster.
kube-proxy uses the operating system packet filtering layer if there is one and it's available. Otherwise, kube-proxy forwards the traffic itself.
- Auch bekannt als: kubectl
Command line tool for communicating with a Kubernetes cluster's control plane, using the Kubernetes API.
[+]You can use
kubectl
to create, inspect, update, and delete Kubernetes objects.In English,
kubectl
is (officially) pronounced /kjuːb/ /kənˈtɹəʊl/ (like "cube control"). Ein Agent, der auf jedem Knoten im Cluster ausgeführt wird. Er stellt sicher, dass Container in einem Pod ausgeführt werden.
[+]Das Kubelet verwendet eine Reihe von PodSpecs, die über verschiedene Mechanismen bereitgestellt werden, und stellt sicher, dass die in diesen PodSpecs beschriebenen Container ordnungsgemäß ausgeführt werden. Das kubelet verwaltet keine Container, die nicht von Kubernetes erstellt wurden.
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.Provides constraints to limit resource consumption per Containers or Pods in a namespace.
[+]LimitRange limits the quantity of objects that can be created by type, as well as the amount of compute resources that may be requested/consumed by individual Containers or Pods in a namespace.
Veralteter Begriff, verwendet als Synonym für die Knoten auf denen die Control Plane läuft.
[+]Dieser Begriff wird noch durch einige Provisionierungswerkzeuge verwendet, wie zum Beispiel kubeadm, und gemanagte Dienste, um Knoten mit dem
kubernetes.io/role
Label zu kennzeichnen, und Pods auf der Control Plane zu platzieren.A tool for running Kubernetes locally.
[+]Minikube runs an all-in-one or a multi-node local Kubernetes cluster inside a VM on your computer. You can use Minikube to try Kubernetes in a learning environment.
A pod object that a kubelet uses to represent a static pod
[+]When the kubelet finds a static pod in its configuration, it automatically tries to create a Pod object on the Kubernetes API server for it. This means that the pod will be visible on the API server, but cannot be controlled from there.
(For example, removing a mirror pod will not stop the kubelet daemon from running it).
A client-provided string that refers to an object in a resource URL, such as
[+]/api/v1/pods/some-name
.Only one object of a given kind can have a given name at a time. However, if you delete the object, you can make a new object with the same name.
An abstraction used by Kubernetes to support isolation of groups of resources within a single cluster.
[+]Namespaces are used to organize objects in a cluster and provide a way to divide cluster resources. Names of resources need to be unique within a namespace, but not across namespaces. Namespace-based scoping is applicable only for namespaced objects (e.g. Deployments, Services, etc) and not for cluster-wide objects (e.g. StorageClass, Nodes, PersistentVolumes, etc).
Eine Einheit im Kubernetessystem. Die Kubernetes API verwendet diese Einheiten um den Zustand Ihres Clusters darzustellen.
[+]Ein Kubernetes Objekt ist typischerweise ein "Datenstatz der Absicht"—sobald Sie das Objekt erstellen, arbeitet die Kubernetes Control Plane ständig, um zu versichern, dass das Element, welches es darstellt, auch existiert. Durch erstellen eines Objekts, erzählen Sie grundsätzlich dem Kubernetessystem wie dieser Teil der Arbeitslast Ihres Clusters aussehen soll; das ist der Wunschzustand Ihres Clusters.
Das kleinste und einfachste Kubernetesobjekt. Ein Pod stellt ein Satz laufender Container in Ihrem Cluster dar.
[+]Ein Pod wird typischerweise verwendet, um einen einzelnen primären Container laufen zu lassen. Es kann optional auch "sidecar" Container laufen lassen, die zusätzliche Features, wie logging, hinzufügen. Pods werden normalerweise durch ein Deployment verwaltet.
The sequence of states through which a Pod passes during its lifetime.
[+]The Pod Lifecycle is defined by the states or phases of a Pod. There are five possible Pod phases: Pending, Running, Succeeded, Failed, and Unknown. A high-level description of the Pod state is summarized in the PodStatus
phase
field.Enables fine-grained authorization of Pod creation and updates.
[+]A cluster-level resource that controls security sensitive aspects of the Pod specification. The
PodSecurityPolicy
objects define a set of conditions that a Pod must run with in order to be accepted into the system, as well as defaults for the related fields. Pod Security Policy control is implemented as an optional admission controller.PodSecurityPolicy was deprecated as of Kubernetes v1.21, and removed in v1.25. As an alternative, use Pod Security Admission or a 3rd party admission plugin.
QoS Class (Quality of Service Class) provides a way for Kubernetes to classify Pods within the cluster into several classes and make decisions about scheduling and eviction.
[+]QoS Class of a Pod is set at creation time based on its compute resources requests and limits settings. QoS classes are used to make decisions about Pods scheduling and eviction. Kubernetes can assign one of the following QoS classes to a Pod:
Guaranteed
,Burstable
orBestEffort
.A whole-number representation of small or large numbers using SI suffixes.
[+]Quantities are representations of small or large numbers using a compact, whole-number notation with SI suffixes. Fractional numbers are represented using milli units, while large numbers can be represented using kilo, mega, or giga units.
For instance, the number
1.5
is represented as1500m
, while the number1000
can be represented as1k
, and1000000
as1M
. You can also specify binary-notation suffixes; the number 2048 can be written as2Ki
.The accepted decimal (power-of-10) units are
m
(milli),k
(kilo, intentionally lowercase),M
(mega),G
(giga),T
(tera),P
(peta),E
(exa).The accepted binary (power-of-2) units are
Ki
(kibi),Mi
(mebi),Gi
(gibi),Ti
(tebi),Pi
(pebi),Ei
(exbi).Manages authorization decisions, allowing admins to dynamically configure access policies through the Kubernetes API.
[+]RBAC utilizes four kinds of Kubernetes objects:
- Role
- Defines permission rules in a specific namespace.
- ClusterRole
- Defines permission rules cluster-wide.
- RoleBinding
- Grants the permissions defined in a role to a set of users in a specific namespace.
- ClusterRoleBinding
- Grants the permissions defined in a role to a set of users cluster-wide.
For more information, see RBAC.
A copy or duplicate of a Pod or a set of pods. Replicas ensure high availability, scalability, and fault tolerance by maintaining multiple identical instances of a pod.
[+]Replicas are commonly used in Kubernetes to achieve the desired application state and reliability. They enable workload scaling and distribution across multiple nodes in a cluster.
By defining the number of replicas in a Deployment or ReplicaSet, Kubernetes ensures that the specified number of instances are running, automatically adjusting the count as needed.
Replica management allows for efficient load balancing, rolling updates, and self-healing capabilities in a Kubernetes cluster.
A ReplicaSet (aims to) maintain a set of replica Pods running at any given time.
[+]Workload objects such as Deployment make use of ReplicaSets to ensure that the configured number of Pods are running in your cluster, based on the spec of that ReplicaSet.
Eine Methode um Netwzwerkanwendungen freizugeben, die als einen oder mehrere Pods in Ihrem Cluster laufen.
[+]Der Satz Pods, der von einem Servie anvisiert ist, wird durch einen Selector bestimmt. Wenn mehrere Pods hinzugefügt oder entfernt werden, ändert sich der Satz Pods die zum Selector passen. Der Service versichert, dass Netzwerkverkehr an den aktuellen Satz Pods für die Arbeitslast gelenkt werden kann.
Kubernetes Services verwenden entweder IP Netzwerke (IPv4, IPv6, oder beide), oder referenzieren einen externen Namen im Domain Name System (DNS).
Die Service Abstraktion ermöglicht andere Mechanismen, wie Ingress und Gateway.
Provides an identity for processes that run in a Pod.
[+]When processes inside Pods access the cluster, they are authenticated by the API server as a particular service account, for example,
default
. When you create a Pod, if you do not specify a service account, it is automatically assigned the default service account in the same Namespace.A technique for assigning requests to queues that provides better isolation than hashing modulo the number of queues.
[+]We are often concerned with insulating different flows of requests from each other, so that a high-intensity flow does not crowd out low-intensity flows. A simple way to put requests into queues is to hash some characteristics of the request, modulo the number of queues, to get the index of the queue to use. The hash function uses as input characteristics of the request that align with flows. For example, in the Internet this is often the 5-tuple of source and destination address, protocol, and source and destination port.
That simple hash-based scheme has the property that any high-intensity flow will crowd out all the low-intensity flows that hash to the same queue. Providing good insulation for a large number of flows requires a large number of queues, which is problematic. Shuffle-sharding is a more nimble technique that can do a better job of insulating the low-intensity flows from the high-intensity flows. The terminology of shuffle-sharding uses the metaphor of dealing a hand from a deck of cards; each queue is a metaphorical card. The shuffle-sharding technique starts with hashing the flow-identifying characteristics of the request, to produce a hash value with dozens or more of bits. Then the hash value is used as a source of entropy to shuffle the deck and deal a hand of cards (queues). All the dealt queues are examined, and the request is put into one of the examined queues with the shortest length. With a modest hand size, it does not cost much to examine all the dealt cards and a given low-intensity flow has a good chance to dodge the effects of a given high-intensity flow. With a large hand size it is expensive to examine the dealt queues and more difficult for the low-intensity flows to dodge the collective effects of a set of high-intensity flows. Thus, the hand size should be chosen judiciously.
One or more containers that are typically started before any app containers run.
[+]Sidecar containers are like regular app containers, but with a different purpose: the sidecar provides a Pod-local service to the main app container. Unlike init containers, sidecar containers continue running after Pod startup.
Read Sidecar containers for more information.
Defines how each object, like Pods or Services, should be configured and its desired state.
[+]Almost every Kubernetes object includes two nested object fields that govern the object's configuration: the object spec and the object status. For objects that have a spec, you have to set this when you create the object, providing a description of the characteristics you want the resource to have: its desired state.
It varies for different objects like Pods, StatefulSets, and Services, detailing settings such as containers, volumes, replicas, ports,
and other specifications unique to each object type. This field encapsulates what state Kubernetes should maintain for the defined
object.Verwaltet die Bereitstellung und Skalierung eines Satzes Pods, und stellt Garantieen zur Reihenfolge und Einzigartigkeit bereit für diese Pods.
[+]Wie ein Deployment, verwaltet ein StatefulSet Pods basierend auf eine identische Container Spezifikation. Anders als ein Deployment, verwaltet ein StatefulSet eine persistente Identität für jeden seiner Pods. Diese Pods werden anhand der gleichen Spezifikation erstellt, sind aber nicht austauschbar: Jeder hat eine persistente Identifizierung, die über jede Verschiebung erhalten bleibt.
Wenn Sie Speichervolumen verwenden wollen, um Persistenz der Arbeitslast zu ermöglichen, können Sie einen StatefulSet as Teil der Lösung verwenden. Obwohl einzelne Pods in einem StatefulSet anfälling für Fehler sind, machen die persistente Podidentifizierungen es einfacher, existierende Volumen mit neuen Pods, die die fehlerhaften ersetzen, zu verbinden.
A pod managed directly by the kubelet daemon on a specific node,
[+]without the API server observing it.
Static Pods do not support ephemeral containers.
A core object consisting of three required properties: key, value, and effect. Taints prevent the scheduling of Pods on nodes or node groups.
[+]Taints and tolerations work together to ensure that pods are not scheduled onto inappropriate nodes. One or more taints are applied to a node. A node should only schedule a Pod with the matching tolerations for the configured taints.
A Kubernetes systems-generated string to uniquely identify objects.
[+]Every object created over the whole lifetime of a Kubernetes cluster has a distinct UID. It is intended to distinguish between historical occurrences of similar entities.
A directory containing data, accessible to the containers in a Pod.
[+]A Kubernetes volume lives as long as the Pod that encloses it. Consequently, a volume outlives any containers that run within the Pod, and data in the volume is preserved across container restarts.
See storage for more information.
A verb that is used to track changes to an object in Kubernetes as a stream. It is used for the efficient detection of changes.
[+]A verb that is used to track changes to an object in Kubernetes as a stream. Watches allow efficient detection of changes; for example, a controller that needs to know whenever a ConfigMap has changed can use a watch rather than polling.
See Efficient Detection of Changes in API Concepts for more information.
A workload is an application running on Kubernetes.
[+]Various core objects that represent different types or parts of a workload include the DaemonSet, Deployment, Job, ReplicaSet, and StatefulSet objects.
For example, a workload that has a web server and a database might run the database in one StatefulSet and the web server in a Deployment.
Zuletzt geändert May 25, 2024 at 9:20 AM PST: [de] Ready glossary page for vanilla Docsy (baf0b51c7d)