Deploy the openiban helm chart on Google Kubernetes Engine (GKE)
TypeScriptTo deploy the
openiban
Helm chart on Google Kubernetes Engine (GKE), you'll first need to create a GKE cluster, then install the Helm chart onto your cluster. I'll walk you through the process step by step.Step 1: Create a GKE cluster
First, let's define the GKE cluster. We'll use Pulumi's GCP provider to do this. The cluster will consist of a set of worker nodes, which are the machines that run your containerized applications and services.
Here's how you can define a GKE cluster in Pulumi:
import * as gcp from "@pulumi/gcp"; const cluster = new gcp.container.Cluster("openiban-cluster", { initialNodeCount: 2, minMasterVersion: "latest", // It's a good practice to specify the version you want to use. nodeVersion: "latest", nodeConfig: { machineType: "n1-standard-1", // This is a good default machine type, you can adjust it based on your needs. oauthScopes: [ "https://www.googleapis.com/auth/cloud-platform" ], }, });
Step 2: Configure
kubectl
Next, you need to set up
kubectl
to interact with the new cluster. Pulumi provides a way to fetch the kubeconfig from your newly created cluster and use it to set up the Kubernetes provider:import * as kubernetes from "@pulumi/kubernetes"; const kubeconfig = cluster.name.apply(name => { return gcp.container.getCluster({ name: name, location: cluster.location, }, { async: true }).then(cluster => { return cluster.endpoint.apply(ep => { return cluster.masterAuth.apply(masterAuth => { const context = `${gcp.config.project}_${cluster.location}_${cluster.name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth.clusterCaCertificate} server: https://${ep} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; }); }); }); }); const k8sProvider = new kubernetes.Provider("k8s-provider", { kubeconfig: kubeconfig, });
Step 3: Deploy the
openiban
Helm chartNow that you have a GKE cluster and your
kubectl
is configured to manage it, you can deploy theopeniban
Helm chart. If the chart is available from a public Helm repo, you can specify the chart name and version. Assume thatopeniban
is available in a public repository, and we've added this repository to our local Helm configuration with the nameopeniban-repo
.const openibanRelease = new kubernetes.helm.v3.Release("openiban-release", { chart: "openiban", repositoryOpts: { repo: "https://charts.example.com/", }, version: "1.0.0", namespace: "default", }, { provider: k8sProvider });
Step 4: Export the Cluster Endpoint
Finally, you might want to export your cluster's endpoint to access it from outside.
export const clusterName = cluster.name; export const clusterEndpoint = cluster.endpoint;
Complete Pulumi Program
Let's put it all together into a complete Pulumi program written in TypeScript.
import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as kubernetes from "@pulumi/kubernetes"; // Step 1: Create GKE cluster const cluster = new gcp.container.Cluster("openiban-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", nodeConfig: { machineType: "n1-standard-1", oauthScopes: [ "https://www.googleapis.com/auth/cloud-platform" ], }, }); // Step 2: Configure kubectl const kubeconfig = cluster.name.apply(name => { return gcp.container.getCluster({ name: name, location: cluster.location, }).then(cluster => { return cluster.endpoint.apply(ep => { return cluster.masterAuth.apply(masterAuth => { const context = `${gcp.config.project}_${cluster.location}_${cluster.name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth.clusterCaCertificate} server: https://${ep} 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 `; }); }); }); }); const k8sProvider = new kubernetes.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Step 3: Deploy openiban Helm chart const openibanRelease = new kubernetes.helm.v3.Release("openiban-release", { chart: "openiban", repositoryOpts: { repo: "https://charts.example.com/", }, version: "1.0.0", namespace: "default", }, { provider: k8sProvider }); // Step 4: Export the Cluster Endpoint export const clusterName = cluster.name; export const clusterEndpoint = cluster.endpoint;
This program uses the
@pulumi/gcp
and@pulumi/kubernetes
libraries to create a GKE cluster and configure a Kubernetes provider with thekubeconfig
. It then deploys theopeniban
Helm chart from a specified repository and version.Ensure that you have Pulumi installed and configured for GCP access. Once done, you can run this program using the Pulumi CLI:
pulumi up
This command will provision the resources as defined in the program. After the deployment is successful, you can use the exported cluster endpoint to interact with your GKE cluster.