Deploy the ibm-apic-instance helm chart on AWS EKS
TypeScriptDeploying an IBM API Connect instance using Helm on an Amazon EKS (Elastic Kubernetes Service) cluster involves several steps. You'll need to set up an EKS cluster, configure your Kubernetes client to interact with the cluster, and then deploy the Helm chart.
Below, I'll guide you through the process using Pulumi and TypeScript. Before we start, make sure you have Pulumi CLI installed and configured for AWS access. You must also have
kubectl
and Helm installed on your local machine to interact with the Kubernetes cluster.Step 1: Create an Amazon EKS Cluster
To deploy the IBM API Connect Helm chart, we'll first create an Amazon EKS cluster using the
aws.eks.Cluster
resource from the@pulumi/aws
package. This will manage the Kubernetes master nodes.We'll also need an IAM role for the EKS cluster and a node group that consists of worker nodes using the resources
aws.iam.Role
,aws.iam.RolePolicyAttachment
, andaws.eks.NodeGroup
.Step 2: Deploy the Helm Chart
Once we have our EKS cluster running, we'll use Helm to deploy the IBM API Connect instance. Pulumi doesn't have direct support for Helm charts, but you can use Pulumi's
Command
resource from the@pulumi/command
package to run arbitrary commands, such ashelm install
.Here is the full program:
import * as aws from "@pulumi/aws"; import * as pulumi from "@pulumi/pulumi"; import * as eks from "@pulumi/eks"; import * as command from "@pulumi/command"; // Create an EKS cluster. const cluster = new eks.Cluster("my-cluster", { instanceType: "t2.medium", desiredCapacity: 2, minSize: 1, maxSize: 3, }); // Export the cluster kubeconfig. export const kubeconfig = cluster.kubeconfig; // Create a Command resource to deploy the ibm-apic-instance Helm chart. const helmDeploy = new command.local.Command("ibm-apic-instance-deploy", { create: pulumi.interpolate` helm repo add ibm-charts https://raw.githubusercontent.com/IBM/charts/master/repo/stable/ helm install my-apic-instance ibm-charts/ibm-apic-instance --kubeconfig ${kubeconfig} `, update: pulumi.interpolate` helm upgrade my-apic-instance ibm-charts/ibm-apic-instance --kubeconfig ${kubeconfig} `, delete: pulumi.interpolate` helm delete my-apic-instance --kubeconfig ${kubeconfig} `, }, { dependsOn: [cluster], }); // Export the Helm deployment command's stdout. export const helmDeployStdout = helmDeploy.stdout;
Explanation
- We begin by importing the required Pulumi modules.
- We declare an EKS cluster with the desired configurations. Adjust the instance type and scaling options based on the workload requirements and budget constraints.
- The
kubeconfig
is exported sokubectl
can interact with the cluster from your local machine. - A local command resource named
helmDeploy
is responsible for:- Adding the stable repository from IBM's Helm chart repository.
- Installing the IBM API Connect Helm chart.
- Updating the Helm release as needed.
- Deleting the Helm release upon resource destruction.
It's important to adjust the
helm install
command with your required values and parameters that correspond to the IBM API Connect Helm chart.Usage Notes
- Ensure Helm is installed and accessible in your system's PATH.
- The
kubeconfig
output will allow you to manage your Kubernetes cluster withkubectl
. - The
create
,update
, anddelete
commands within thehelmDeploy
resource correspond to the lifecycle hooks for managing the Helm release. - After running
pulumi up
, the Pulumi program will deploy the specified EKS cluster and the Helm chart.
Remember, before deploying your Pulumi program run
pulumi up
after seeing the plan, confirm the changes to start the deployment. After successful deployment, you should be able to usekubectl
to interact with your EKS cluster and verify your IBM API Connect instance.Check the Helm chart's documentation for any specific configurations you may need to include as arguments in your
helm install
andhelm upgrade
commands within the Pulumi program.