Clusters

This is a legacy version

For the latest Clusters CLI information, see the Clusters CLI topic.

Clusters and workloads are deployed in the Customer's Org in the context of a Project. Users can use RCTL to fully automate the lifecycle management of clusters. Specifically, the operations listed in the table below can be fully automated using RCTL.

Resource	Create	Get	Update	Delete
Cluster	YES	YES	YES	YES

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Create Cluster

Declarative

You can also import a cluster into the Project based on a version controlled cluster spec that you can store in a Git repository. This enables users to develop automation for reproducible infrastructure.

./rctl create cluster -f cluster-spec.yml

An illustrative example of the cluster spec YAML file is shown below

kind: Cluster
metadata:
  # set the name of the cluster
  name: demo-imported-cluster-01
  # specific the project name to create the cluster
  project: defaultproject
  # cluster labels
  labels:
    env: dev
    type: ml-workloads
spec:
  # type can be "imported"
  type: imported
  # location, can be custom or predefined
  location: aws/eu-central-1
  # blueprint below is optional, if not specified, default value is "default"
  blueprint: default
  # blueprintversion below is optional, if not specified, latest version in the blueprint will be used"
  blueprintversion: v1

Unified/Split YAML

Both unified and split yaml specs are supported to create cluster(s) via RCTL

• Unified YAML

Below is an example of cluster unified yaml spec

kind: Cluster
metadata:
  name: rctl-amd-arm-managed-prod
  project: prod-test
spec:
  blueprint: default
  cloudprovider: aws-secret
  cniprovider: aws-cni
  proxyconfig: {}
  type: eks
---
apiVersion: rafay.io/v1alpha5
kind: ClusterConfig
metadata:
  name: rctl-amd-arm-managed-prod
  region: us-west-2
  version: "1.21"
managedNodeGroups:
- amiFamily: AmazonLinux2
  desiredCapacity: 1
  iam:
    withAddonPolicies:
      autoScaler: true
      imageBuilder: true
  instanceType: t4g.xlarge
  maxSize: 1
  minSize: 1
  name: managed-arm64-rctl-prod
  version: "1.21"
  volumeSize: 80
  volumeType: gp3
- amiFamily: AmazonLinux2
  desiredCapacity: 1
  iam:
    withAddonPolicies:
      autoScaler: true
      imageBuilder: true
  instanceType: t3.xlarge
  maxSize: 1
  minSize: 1
  name: managed-amd64-rctl-prod
  version: "1.21"
  volumeSize: 80
  volumeType: gp3
vpc:
  cidr: 192.168.0.0/16
  clusterEndpoints:
    privateAccess: true
    publicAccess: false
  nat:
    gateway: Single

• Split YAML

Below is an example of cluster split yaml spec

kind: Cluster
metadata:
  name: demo-cluster
  project: defaultproject
spec:
  blueprint: default
  cloudprovider: demo-aws
  cniprovider: aws-cni
  proxyconfig: {}
  type: eks
---
apiVersion: rafay.io/v1alpha5
kind: ClusterConfig
managedNodeGroups:
- amiFamily: AmazonLinux2
  desiredCapacity: 3
  iam:
    withAddonPolicies:
      autoScaler: true
  instanceType: t3.xlarge
  labels:
    app: infra
    dedicated: "true"
  maxSize: 3
  minSize: 0
  name: ng-f813b069
  version: "1.22"
  volumeSize: 80
  volumeType: gp3
metadata:
  name: demo-cluster
  region: us-west-2
  version: "1.22"
vpc:
  cidr: 192.168.0.0/16
  clusterEndpoints:
    privateAccess: true
    publicAccess: true
  nat:
    gateway: Single

Imperative

Use this command to create a cluster object in the configured project in your Organization. You can optionally also specify the cluster blueprint during this step.

./rctl create cluster imported qa-cluster -l sanjose
./rctl create cluster imported prod-cluster2 -l sanjose -b prodblueprint

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List Clusters

Use this command to retrieve the list of clusters available in the configured project. In the example shown below, there are four clusters in this project.

./rctl get cluster

+--------------------------------+----------+
|              NAME              |   TYPE   |
+--------------------------------+----------+
| rafaypoc-eks-existing-vpc-cicd | aws-eks  |
| demo-spot-eks                  | aws-eks  |
| demo-vmware-sjc                | manual   |
| demo-aks-east                  | imported |
+--------------------------------+----------+

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Get Cluster Info

Use this command to retrieve the a specific cluster available in the configured project.

./rctl get cluster <cluster-name>

Below is the illustrative example of the "demo-spot-eks" cluster information of the current project:

./rctl get cluster demo-spot-eks

+---------------+-----------------------------+-----------------------------+---------+--------+---------------+
|     NAME      |         CREATED AT          |         MODIFIED AT         |  TYPE   | STATUS |   BLUEPRINT   |
+---------------+-----------------------------+-----------------------------+---------+--------+---------------+
| demo-spot-eks | 2020-08-11T16:54:25.750659Z | 2020-09-23T04:05:00.720032Z | aws-eks | READY  | eks-blueprint |
+---------------+-----------------------------+-----------------------------+---------+--------+---------------+

Or you can use below command to get more cluster information in json or yaml format

./rctl get cluster <cluster-name> -o json

./rctl get cluster <cluster-name> -o yaml

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Delete Cluster

Authorized users can automate the deletion of an existing cluster in the configured project using RCTL.

./rctl delete cluster <cluster-name>

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Update Cluster Blueprint

Use this command to use RCTL to update the cluster blueprint associated with a given cluster.

./rctl update cluster <cluster-name> -blueprint <blueprint-name>

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Download Cluster Spec

Users can download the declarative specification (config) for their cluster from the controller using the command below.

./rctl get cluster config <cluster name> -o yaml

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Download Kubeconfig

Users can use RCTL to download the Kubeconfig for clusters in the configured project. All access will be performed via the Controller's Zero Trust Kubectl access proxy.

./rctl download kubeconfig [flags]

By default, a unified Kubeconfig for all clusters in the project is downloaded. If required, users can download the Kubeconfig for a selected cluster.

./rctl download kubeconfig --cluster <cluster-name>

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Wait Flag

RCTL provides an option for the users to wait and block the long-running operations. When an automation pipeline logic becomes extremely convoluted, enabling the --wait flag helps to block and keep pulling the cluster ready status.

Supported Operations

Resource	Create	Upgrade	Delete
Cluster (AKS, EKS and MKS)	YES	YES	YES
Nodegroup (AKS and EKS)	YES	YES	YES

Below is an example with a wait flag that provides an option to wait until the EKS cluster is in ready status

./rctl create cluster eks eks-cluster demo-credential --region us-west-2 --node-ami-family AmazonLinux2  --wait

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