Deploy the storage helm chart on Google Kubernetes Engine (GKE)
TypeScriptTo deploy a storage Helm chart on Google Kubernetes Engine (GKE), you'll first need to create a GKE cluster, then configure your Pulumi environment to deploy Helm charts using the Helm Release resource provided by Pulumi.
Below is a Pulumi program in TypeScript that creates a GKE cluster and deploys a Helm chart within it. Before diving into the code, let's break down the steps:
-
Set Up the GKE Cluster: We'll define a GKE cluster using Pulumi's
gcp.container.Cluster
resource. Ensure that you have the required permissions and have configured Pulumi with your GCP credentials. -
Install the Helm Chart: After the cluster is ready, we'll install a Helm chart to deploy the storage solution. We will use Pulumi's Helm Release resource, which is provided by the
@pulumi/kubernetes
package.
Here's how you can write the program:
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 cluster = new gcp.container.Cluster("my-gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", location: "us-central1-a", nodeConfig: { // When specifying a machine type, ensure it has enough resources for your workloads. machineType: "n1-standard-1", // or another 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" ], }, }); // Export the cluster name and kubeconfig for local access export const clusterName = cluster.name; export const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.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 2: Install the Helm chart into the GKE cluster // Configure the Kubernetes provider with the kubeconfig from the newly created GKE cluster const k8sProvider = new k8s.Provider("gke-k8s", { kubeconfig: kubeconfig, }); // Deploy a Helm chart, for example a Redis chart as our storage solution const redisChart = new k8s.helm.v3.Release("redis", { chart: "redis", version: "10.5.7", // Specify the chart version you wish to deploy repositoryOpts: { repo: "https://charts.bitnami.com/bitnami", }, // Define values for the Helm chart in values yaml or pass them in an object directly values: { // These values would be specific to the storage chart you want to install // For demonstration, these are example values that might be used for a Redis chart. cluster: { enabled: true, }, metrics: { enabled: true, }, }, }, { provider: k8sProvider }); // Export the Redis Helm chart service IP export const redisServiceIp = redisChart.status.apply(status => status.service.apply(s => s.loadBalancer.apply(lb => lb.ingress[0].ip)));
Before you run the code, you need to have Pulumi and GCP CLI tools installed and configured properly.
Prerequisites:
- Install Pulumi.
- Install Google Cloud SDK (gcloud).
- Authenticate with Google Cloud: run
gcloud auth login
andgcloud config set project [PROJECT_ID]
. - Ensure your Google Cloud account has the appropriate roles and permissions to create GKE clusters and work with Google Container Registry.
Running the Code:
Once you're set up with all prerequisites, here are the general steps to run the code:
- Save the above TypeScript code to a file named
index.ts
. - Create a new Pulumi project with
pulumi new typescript
(pick an appropriate project and stack name when prompted). - Place the
index.ts
file in your Pulumi project directory. - Run
npm install
to install all necessary packages. - Finally, deploy your infrastructure with the command
pulumi up
.
This script would create the GKE cluster and deploy the specified Helm chart (in the script provided, a Redis database). Remember that in the
values
section under the Redis Helm chart deployment, you need to specify the appropriate values for the storage solution you are deploying.-