conjure-up is an open-source installer for Kubernetes that creates Kubernetes clusters with native AWS integrations on Ubuntu.
Kubernetes Operations - Production Grade K8s Installation, Upgrades, and Management. Supports running Debian, Ubuntu, CentOS, and RHEL in AWS.
CoreOS originated and the Kubernetes Incubator maintains a CLI tool,
kube-aws, that creates and manages Kubernetes clusters with Container Linux nodes, using AWS tools: EC2, CloudFormation and Autoscaling.
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:
# macOS 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
|IaaS Provider||Config. Mgmt||OS||Networking||Docs||Conforms||Support Level|
|AWS||kops||Debian||k8s (VPC)||docs||Community (@justinsb)|
|AWS||Juju||Ubuntu||flannel, calico, canal||docs||100%||Commercial, Community|
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.