Kubernetes Operations - Production Grade K8s Installation, Upgrades, and Management. Supports running Debian, Ubuntu, CentOS, and RHEL in AWS.
kube-up.shis a legacy tool for launching clusters. It is deprecated, and removed entirely from kubernetes 1.6.
NOTE: This script use the ‘default’ AWS profile by default.
You may explicitly set the AWS profile to use using the
AWS_DEFAULT_PROFILE environment variable:
#Using wget export KUBERNETES_PROVIDER=aws; wget -q -O - https://get.k8s.io | bash #Using cURL export KUBERNETES_PROVIDER=aws; curl -sS https://get.k8s.io | bash
This process takes about 5 to 10 minutes. Once the cluster is up, the IP addresses of your master and node(s) will be printed,
as well as information about the default services running in the cluster (monitoring, logging, dns). User credentials and security
tokens are written in
~/.kube/config, they will be necessary to use the CLI or the HTTP Basic Auth.
By default, the script will provision a new VPC and a 4 node k8s cluster in us-west-2a (Oregon) with EC2 instances running on Debian. You can override the variables defined in config-default.sh to change this behavior as follows:
export KUBE_AWS_ZONE=eu-west-1c export NUM_NODES=2 export MASTER_SIZE=m3.medium export NODE_SIZE=m3.medium export AWS_S3_REGION=eu-west-1 export AWS_S3_BUCKET=mycompany-kubernetes-artifacts export KUBE_AWS_INSTANCE_PREFIX=k8s ...
If you don’t specify master and minion sizes, the scripts will attempt to guess
the correct size of the master and worker nodes based on
version 1.3 these default are:
For the master, for clusters of less than 5 nodes it will use an
m3.medium, for 6-10 nodes it will use an
for 11-100 nodes it will use an
For worker nodes, for clusters less than 50 nodes it will use a
for clusters between 50 and 150 nodes it will use a
t2.small and for
clusters with greater than 150 nodes it will use a
WARNING: beware that
t2 instances receive a limited number of CPU credits per hour and might not be suitable for clusters where the CPU is used
consistently. As a rough estimation, consider 15 pods/node the absolute limit a
t2.large instance can handle before it starts exhausting its CPU credits
steadily, although this number depends heavily on the usage.
In prior versions of Kubernetes, we defaulted the master node to a t2-class
instance, but found that this sometimes gave hard-to-diagnose problems when the
master ran out of memory or CPU credits. If you are running a test cluster
and want to save money, you can specify
export MASTER_SIZE=t2.micro but if
your master pauses do check the CPU credits in the AWS console.
For production usage, we recommend at least
export MASTER_SIZE=m3.medium and
export NODE_SIZE=m3.medium. And once you get above a handful of nodes, be
aware that one m3.large instance has more storage than two m3.medium instances,
for the same price.
We generally recommend the m3 instances over the m4 instances, because the m3 instances include local instance storage. Historically local instance storage has been more reliable than AWS EBS, and performance should be more consistent. The ephemeral nature of this storage is a match for ephemeral container workloads also!
If you use an m4 instance, or another instance type which does not have local
instance storage, you may want to increase the
although the default value of 32 is probably sufficient for the smaller
instance types in the m4 family.
The script will also try to create or reuse a keypair called “kubernetes”, and IAM profiles called “kubernetes-master” and “kubernetes-minion”. If these already exist, make sure you want them to be used here.
NOTE: If using an existing keypair named “kubernetes” then you must set the
AWS_SSH_KEY key to point to your private key.
The cluster startup script will leave you with a
kubernetes directory on your workstation.
Alternately, you can download the latest Kubernetes release from this page.
Next, add the appropriate binary folder to your
PATH to access kubectl:
# OS X export PATH=<path/to/kubernetes-directory>/platforms/darwin/amd64:$PATH # Linux export PATH=<path/to/kubernetes-directory>/platforms/linux/amd64:$PATH
An up-to-date documentation page for this tool is available here: kubectl manual
kubectl will use the
kubeconfig file generated during the cluster startup for authenticating against the API.
For more information, please read kubeconfig files
See a simple nginx example to try out your new cluster.
The “Guestbook” application is another popular example to get started with Kubernetes: guestbook example
For more complete applications, please look in the examples directory
Adding and removing nodes through
kubectl is not supported. You can still scale the amount of nodes manually through adjustments of the ‘Desired’ and ‘Max’ properties within the Auto Scaling Group, which was created during the installation.
Make sure the environment variables you used to provision your cluster are still exported, then call the following script inside the
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For support level information on all solutions, see the Table of solutions chart.
Please see the Kubernetes docs for more details on administering and using a Kubernetes cluster.Create an Issue Edit this Page