Install IBM Multicloud Manager Klusterlet Community Edition on public Kubernetes service platforms.
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IBM Multicloud Manager provides user visibility, application-centric management (policy, deployments, health, operations), and policy-based compliance across clouds and clusters. IBM Multicloud Manager allows users to manage multiple Kubernetes clusters and ensure clusters are secure, operating efficiently, and delivering the service levels that applications expect.
IBM Multicloud Manager Klusterlet is the agent that is responsible for a single Kubernetes cluster. IBM Multicloud Manager Klusterlet initiates a connection to the IBM Multicloud Manager Controller, receives work requests, then returns the results. The IBM Multicloud Manager Klusterlet uses a unidirectional communication pattern, where the connections are always initiated by the IBM Multicloud Manager Klusterlet and sent to the IBM Multicloud Manager Controller. The IBM Multicloud Manager Klusterlet connects to various services within the cluster for operations, including the Kuberenetes API service, the Helm client and Tiller service, and Weave for topology.
For additional information about IBM Multicloud Manager, see the IBM Multicloud Manager product documentation.
The IBM Multicloud Manager inception container is the easiest way to install IBM Multicloud Manager Klusterlet Community Edition (CE) on supported public Kubernetes service platforms.
The inception image installs prerequisites on the targeted Kubernetes cluster and prepares the environment, then installs IBM Multicloud Manager Klusterlet (CE) on that cluster. The Klusterlet connects the targeted Kubernetes cluster to the IBM Multicloud Manager hub-cluster. That targeted Kubernetes cluster then becomes a managed-cluster.
IBM Cloud Kubernetes Service (IKS) Getting started with IBM Cloud Kubernetes Service
AWS Elastic Container Service for Kubernetes (EKS) Amazon Elastic Container Service for Kubernetes
Azure Kubernetes Service (AKS) Azure Kubernetes Service
Google Kubernetes Engine (GKE) GKE Overview
Follow the procedure to install IBM Multicloud Manager Klusterlet on an IBM Cloud Kubernetes Service environment. For more information, see Getting started with IBM Cloud Kubernetes Service.
docker run -e LICENSE=view ibmcom/mcm-inception-amd64:3.1.2-ce
Extract the cluster directory from the inception container with the following command. Choose and copy the command that is based on your Kubernetes service provider:
docker run -v $(pwd):/data -e LICENSE=accept \
ibmcom/mcm-inception-amd64:3.1.2-ce \
cp -r /installer/cluster.iks /data/cluster
docker run -v $(pwd):/data -e LICENSE=accept \
ibmcom/mcm-inception-amd64:3.1.2-ce \
cp -r /installer/cluster.eks /data/cluster
docker run -v $(pwd):/data -e LICENSE=accept \
ibmcom/mcm-inception-amd64:3.1.2-ce \
cp -r /installer/cluster.aks /data/cluster
docker run -v $(pwd):/data -e LICENSE=accept \
ibmcom/mcm-inception-amd64:3.1.2-ce \
cp -r /installer/cluster.gke /data/cluster
Change to the cluster folder in your installation directory with the following command, which is the same no matter which service you are using:
cd cluster
config.yaml file.Choose from the following procedures, based on your Kubernetes service:
Obtain your cluster access information with the following procedure:
Log in to IBM Cloud, then click Kubernetes to access the dashboard.
Select Clusters from the navigation, then select your targeted cluster from the list that displays.
From the Overview page, Click Access
Click download link to get the kubeconfig.zip file for your cluster.
Place the kubeconfig file that you obtained in the previous step into your cluster directory.
IMPORTANT: Do not extract the kubeconfig file. The ZIP file must be named kubeconfig.
Place the kubeconfig file that you obtained in the previous step into your cluster directory. Do not extract the kubeconfig.zip file. The ZIP file must be named kubeconfig.
Proceed to the Configure the Klusterlet parameters step.
You need to install the Azure CLI and authenticate. See Install the Azure CLI for instructions to install the CLI. After you install the CLI, run the following command to get your credentials:
az aks get-credentials \
--resource-group [azure resource group] \
--name [aks cluster name] \
--file ./kubeconfig
Configure the following aks parameters in your config.yaml file:
See the following example:
aks:
location: eastus
Run the following command to get the cluster location:
az aks show --name [aks-cluster-name] --resource-group [aks-resource-group] | grep location
Proceed to the Configure the Klusterlet parameters step.
Obtain AWS access keys credentials. To learn how to create and find AWS credentials, see Access Key ID and Secret Access Key.
Configure the following AWS parameters in the config.yaml:
kubeconfig.kubeconfig.Proceed to the Configure the Klusterlet parameters step.
Google Kubernetes Engine (GKE)
To run the inception installer on a GKE cluster, you need a Google Cloud service account and key. For information about creating a Google Cloud Platform service accounts, see Authenticating to Cloud Platform with Service Accounts. If you need to create a key manually, see the Creating and Managing Service Account Keys guide.
Obtain your credentials. You need the key for the service account that is assigned the Kubernetes Engine Admin role. You can find that service account in the IAM & admin section of the console. If you do not have your key, complete the following procedure to create a key:
.json file and rename it gke-sa-key.json.gke-sa-key.json file.Configure the following gcloud parameters in the same config.yaml:
Proceed to the Configure the Klusterlet parameters step.
Configure the Klusterlet parameters in the config.yaml in the cluster directory. The definitions are the same for all services:
Run the inception container with the following command:
docker run --net=host -t -e LICENSE=accept \
-v "$(pwd)":/installer/cluster \
ibmcom/mcm-inception-amd64:3.1.2-ce \
install-mcm-klusterlet -v
To unistall the IBM Multicloud Manager Klusterlet from any of the supported Kubernetes service providers, complete the following procedure. You need your cluster directory with the configured config.yaml file. If you no longer have access to your config.yaml, follow the previous installation instructions to reconfigure your file.
docker run --net=host -t -e LICENSE=accept \
-v "$(pwd)":/installer/cluster \
ibmcom/mcm-inception-amd64:3.1.2-ce \
uninstall-mcm-klusterlet -v
config.yaml file, and [cluster-name] is the cluster resource from your config.yaml file:kubectl delete cluster -n [cluster-namespace] [cluster-name]
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docker pull ibmcom/mcm-inception-amd64:3.1.2-ce