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Kubernetes Cluster API Provider IBM Cloud

Powered by IBM Cloud


This repository hosts a concrete implementation of an IBM Cloud provider for the cluster-api project.

What is the Cluster API Provider IBM Cloud

The Cluster API brings declarative, Kubernetes-style APIs to cluster creation, configuration and management. The API itself is shared across multiple cloud providers allowing for true IBM Cloud hybrid deployments of Kubernetes.

Community, discussion, contribution, and support

Learn how to engage with the Kubernetes community on the community page.

You can reach the maintainers of this project at:

Code of conduct

Participation in the Kubernetes community is governed by the Kubernetes Code of Conduct.


Getting Started

Prerequisites

  1. Install kubectl (see here). Because kustomize was included into kubectl and it's used by cluster-api-provider-ibmcloud in generating yaml files, so version 1.14.0+ of kubectl is required, see integrate kustomize into kubectl for more info.

  2. You can use either VM, container or existing Kubernetes cluster act as the bootstrap cluster.

    • If you want to use container, install kind. This is preferred.
    • If you want to use VM, install minikube, version 0.30.0 or greater.
    • If you want to use existing Kubernetes cluster, prepare your kubeconfig.
  3. Install a driver if you are using minikube. For Linux, we recommend kvm2. For MacOS, we recommend VirtualBox.

  4. An appropriately configured Go development environment

  5. Build the clusterctl tool

    git clone https://github.com/kubernetes-sigs/cluster-api-provider-ibmcloud $GOPATH/src/sigs.k8s.io/cluster-api-provider-ibmcloud
    cd $GOPATH/src/sigs.k8s.io/cluster-api-provider-ibmcloud/cmd/clusterctl
    go build

Cluster Creation

  1. Create the cluster.yaml, machines.yaml, provider-components.yaml, and addons.yaml files if needed.

    cd examples/ibmcloud
    ./generate-yaml.sh [options] <path/to/clouds.yaml> <provider os: [centos,ubuntu,coreos]>
    cd ../..

    <clouds.yaml> is a yaml file to record how to interact with IBM Cloud, there's a sample clouds.yaml.

    <provider os> specifies the operating system of the virtual machines Kubernetes will run on. Supported Operating Systems:

    • ubuntu
    • centos (Not Implemented)
    • coreos (Not Implemented)

    Example command:

    ./generate-yaml.sh ./clouds.yaml ubuntu

    Quick notes on clouds.yaml

    $ cat clouds.yaml
    clouds:
     ibmcloud:
       auth:
         apiUserName: "Your API Username"
         authenticationKey: "Your API Authentication Key"

    You can get apiUserName and authenticationKey from https://control.softlayer.com/ .

    • Logon to https://control.softlayer.com/ .
    • Click your user name on the right top of the console. ibmcloud account
    • The console will navigate you to the page of Edit User Profile. ibmcloud profile
    • Scroll down the page to the bottom, you will see a section API Access Information. You can get apiUserName and authenticationKey from there. ibmcloud auth

    Special notes on SSH keys and fetching admin.conf

    In order to allow clusterctl to fetch Kubernetes' admin.conf from the master node, you must manually create the SSH key in IBM Cloud. By default the generated machine.yaml uses cluster-api-provider-ibmcloud to be the sshKeyName. However, you are free to change that.

    For the SSH key, you can logon to https://control.softlayer.com/ , click Devices->Manage->SSH Keys, you will be navigated to the page of SSH Keys, click Add to create your own key. ibmcloud key management ibmcloud key add

    NOTE The private key used to connect to the master node is by default at ~/.ssh/id_ibmcloud. It is generated by generate-yaml.sh if related keys do not exist in your environment. Please make sure the content of the corresponding public key file ~/.ssh/id_ibmcloud.pub is used in creating your IBM Cloud SSH key. Environment variable IBMCLOUD_HOST_SSH_PRIVATE_FILE is supported to customize SSH key file, set this value before you run generate-yaml.sh and clusterctl to modify default SSH key file.

    For the sshUserName, you can use root or ubuntu user for the Ubuntu cloud image, while you can only use root user for other Linux cloud images. By default the generated machine.yaml uses root to be the sshUserName.

    Optionally, add a addons.yaml can provide additional add ons in target cluster, for example, download k8s dashboard to examples/ibmcloud/out/ directory:

    wget -O  addons.yaml  https://raw.githubusercontent.com/kubernetes/dashboard/master/aio/deploy/recommended/kubernetes-dashboard.yaml

    Add -a examples/ibmcloud/out/addons.yaml in clusterctl command, after cluster created. The dashboard pod will be created and user is able to logon through k8s dashboard:

    # kubectl --kubeconfig=kubeconfig get pods --all-namespaces
    NAMESPACE                  NAME                                          READY   STATUS             RESTARTS   AGE
    ...
    kube-system                kubernetes-dashboard-5f7b999d65-ntrxb         1/1     Running            0          12m
    ...
    
  2. Create a cluster:

You should review files cluster.yaml and machines.yaml, and ensure the domain, dataCenter and osReferenceCode are set. You can customize those values based on your requirement.

For machines.yaml, you can follow the sample file, and make sure sshKeyName and the Label value in SSH Keys are identical, shown as below: ibmcloud machines sshkeyname ibmcloud softlayer sshkeys

  • If you are using minikube:
./clusterctl create cluster --bootstrap-type minikube --bootstrap-flags kubernetes-version=v1.12.3 \
  --provider ibmcloud -c examples/ibmcloud/out/cluster.yaml \
  -m examples/ibmcloud/out/machines.yaml -p examples/ibmcloud/out/provider-components.yaml \
  -a examples/ibmcloud/out/addons.yaml

To choose a specific minikube driver, please use the --bootstrap-flags vm-driver=xxx command line parameter. For example to use the kvm2 driver with clusterctl you woud add --bootstrap-flags vm-driver=kvm2, for linux, if you haven't installed any driver, you can add --bootstrap-flags vm-driver=none.

  • If you are using kind:
./clusterctl create cluster --bootstrap-type kind --provider ibmcloud \
  -c examples/ibmcloud/out/cluster.yaml -m examples/ibmcloud/out/machines.yaml \
  -p examples/ibmcloud/out/provider-components.yaml -a examples/ibmcloud/out/addons.yaml

NOTE: If you have an existing Kubernetes cluster which is created by kind, and the cluster name is clusterapi, you should delete this cluster before run clusterctl to create a cluster, for example:

# kind get clusters
clusterapi
# kind delete cluster --name=clusterapi
Deleting cluster "clusterapi" ...
  • If you are using existing Kubernetes cluster:
./clusterctl create cluster --bootstrap-cluster-kubeconfig ~/.kube/config \
  --provider ibmcloud -c examples/ibmcloud/out/cluster.yaml \
  -m examples/ibmcloud/out/machines.yaml -p examples/ibmcloud/out/provider-components.yaml \
  -a examples/ibmcloud/out/addons.yaml

For the above command, the bootstrap-cluster-kubeconfig was located at ~/.kube/config, you must update it to use your kubeconfig.

Additional advanced flags can be found via help.

./clusterctl create cluster --help

Interacting with your cluster

If you are using kind, config the KUBECONFIG first before using kubectl:

export KUBECONFIG="$(kind get kubeconfig-path --name="clusterapi")"

Once you have created a cluster, you can interact with the cluster and machine resources using kubectl:

# kubectl --kubeconfig=kubeconfig get clusters
NAME    AGE
test1   28m
# kubectl --kubeconfig=kubeconfig get machines
NAME                    PROVIDERID              PHASE
ibmcloud-master-464lh   ibmcloud:////82692207   Running
ibmcloud-node-rjtnv     ibmcloud:////82692501   Running
# kubectl --kubeconfig=kubeconfig get machines -o yaml
apiVersion: v1
items:
- apiVersion: cluster.k8s.io/v1alpha1
  kind: Machine
  metadata:
    annotations:
      ibmcloud-ip-address: 158.85.27.183
    creationTimestamp: "2019-06-15T15:56:16Z"
    finalizers:
    - foregroundDeletion
    - machine.cluster.k8s.io
    generateName: ibmcloud-master-
    generation: 1
    labels:
      cluster.k8s.io/cluster-name: test1
...

Cluster Deletion

This guide explains how to delete all resources that were created as part of your IBM Cloud Cluster API Kubernetes cluster.

  1. Delete all of the node Machines in the cluster. Make sure to wait for the corresponding Nodes to be deleted before moving onto the next step. After this step, the master node will be the only remaining node.

    kubectl --kubeconfig=kubeconfig delete machines -l set=node
    kubectl --kubeconfig=kubeconfig get nodes
  2. Delete the master machine.

    kubectl --kubeconfig=kubeconfig delete machines -l set=master
  3. Delete the kubeconfig file that were created for your cluster.

    rm kubeconfig
  4. Delete the SSH keypair that were created for your cluster machine.

    rm -rf $HOME/.ssh/id_ibmcloud*

Create additional worker nodes

Please refer to Create a new worker node for further info.

How to use clusterctl image

The quay.io/cluster-api-provider-ibmcloud/clusterctl image is designed to run independently to provision ibmcloud cluster. We have embedded the kind and kubectl into clusterctl image. Please refer to How to use clusterctl image for further info.

Trouble shooting

Please refer to Trouble shooting documentation for further info.

IBM Cloud References

If you have any further question about IBM Cloud settings in provider, please refer to IBM Cloud help documentation for further information.

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