Deploy the ibm-aspera-operator helm chart on Google Kubernetes Engine (GKE)
TypeScriptDeploying a Helm chart like
ibm-aspera-operator
on Google Kubernetes Engine (GKE) involves several steps. I'll walk you through these steps and provide you with a Pulumi program that you can use to accomplish this goal.Steps to Deploy the ibm-aspera-operator Helm Chart on GKE
- Set Up GKE Cluster: First, you need to have a GKE cluster running. We will create a GKE cluster using Pulumi's
google-native.container/v1.Cluster
resource. - Set Up Kubeconfig: Once the GKE cluster is provisioned, you need to obtain the
kubeconfig
file, which allows you to interact with your cluster usingkubectl
. - Install the Helm Chart: Finally, using the Helm provider in Pulumi, you can deploy the
ibm-aspera-operator
chart to your cluster.
Here's how you can define these steps in a Pulumi program using TypeScript:
import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a GKE cluster const gkeCluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", // use an appropriate GKE version nodeVersion: "latest", nodeConfig: { machineType: "e2-medium", // choose an appropriate machine type oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring", ], }, }); // Step 2: Obtain the kubeconfig for the created GKE cluster const kubeconfig = pulumi. all([gkeCluster.name, gkeCluster.endpoint, gkeCluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth.clusterCaCertificate} server: https://${endpoint} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; }); // Step 3: Use the Helm provider to deploy the ibm-aspera-operator chart const asperaChart = new k8s.helm.v3.Chart("ibm-aspera-operator", { chart: "ibm-aspera-operator", version: "x.y.z", // specify the chart version fetchOpts: { repo: "https://charts.your-repository.com", // specify the Helm repository URL }, }, { provider: new k8s.Provider("provider", {kubeconfig}), }); // Export the cluster's name and kubeconfig export const clusterName = gkeCluster.name; export const clusterKubeconfig = kubeconfig;
Explanation:
- GKE Cluster: The
gcp.container.Cluster
resource block will create a new GKE cluster with the given configuration. Replace the placeholders with the actual values that suit your requirements. - Kubeconfig: The
kubeconfig
is a multi-step construction that combines the cluster name, endpoint, and masterAuth to create a kubeconfig string. This kubeconfig is required to authenticate to the Kubernetes cluster. - Helm Chart: The
k8s.helm.v3.Chart
resource block will install theibm-aspera-operator
Helm chart onto your GKE cluster. Replace theversion
with the version you want to install, and set therepo
to the Helm repository that hostsibm-aspera-operator
.
Deploying the Program:
To deploy this program, save it in a file (e.g.,
index.ts
), then runpulumi up
in your terminal within the directory containing the file. Pulumi will perform the deployment steps as defined in the program. If this is the first deployment, it will prompt you to create a new stack, which represents an isolated deployment target for your infrastructure.Post-Deployment:
After the deployment, you can use the exported
kubeconfig
to interact with your cluster usingkubectl
or any Kubernetes-compatible tool. The Helm chart installation will be managed by Pulumi, making it easy to update or delete in the future directly through Pulumi's infrastructure as code approach.- Set Up GKE Cluster: First, you need to have a GKE cluster running. We will create a GKE cluster using Pulumi's