Deploy the H2-Database Helm Chart on TypeScriptogle Kubernetes Engine (GKE)
Introduction
In this guide, we will deploy the H2 database Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi with TypeScript. The key services involved are GKE for the Kubernetes cluster and Helm for managing the H2 database deployment.
Step-by-Step Explanation
Step 1: Set up the Pulumi project
- Create a new Pulumi project:
pulumi new typescript
- Install the necessary Pulumi packages:
npm install @pulumi/pulumi @pulumi/kubernetes @pulumi/gcp
Step 2: Configure GKE
- Import the required Pulumi packages in your
index.ts
file:import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes";
- Create a GKE cluster:
const cluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 3, minMasterVersion: "1.21", nodeVersion: "1.21", nodeConfig: { machineType: "e2-medium", }, });
- Export the cluster’s kubeconfig:
export const kubeconfig = pulumi.interpolate ` apiVersion: v1 clusters: - cluster: certificate-authority-data: ${cluster.masterAuth.clusterCaCertificate} server: https://${cluster.endpoint} name: ${cluster.name} contexts: - context: cluster: ${cluster.name} user: ${cluster.name} name: ${cluster.name} current-context: ${cluster.name} kind: Config preferences: {} users: - name: ${cluster.name} user: auth-provider: config: access-token: ${gcp.config.accessToken} cmd-args: config config-helper --format=json cmd-path: gcloud expiry: ${gcp.config.tokenExpiry} token: ${gcp.config.accessToken} name: gcp `;
Step 3: Deploy the H2 Database Helm Chart
- Create a Kubernetes provider using the exported kubeconfig:
const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, });
- Deploy the H2 database Helm chart:
const h2Chart = new k8s.helm.v3.Chart("h2-database", { chart: "h2-database", version: "0.1.0", fetchOpts: { repo: "https://example.com/helm-charts", }, }, { provider: k8sProvider });
Summary
In this guide, we have successfully deployed the H2 database Helm chart on a GKE cluster using Pulumi with TypeScript. We first set up a GKE cluster, exported its kubeconfig, and then used the Kubernetes provider to deploy the Helm chart. This approach leverages the power of Pulumi to manage both the infrastructure and application deployment in a unified way.
Full Code Example
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
import * as k8s from "@pulumi/kubernetes";
// Create a GKE cluster
const cluster = new gcp.container.Cluster("gke-cluster", {
initialNodeCount: 3,
minMasterVersion: "1.21",
nodeVersion: "1.21",
nodeConfig: {
machineType: "e2-medium",
},
});
// Export the cluster's kubeconfig
export const kubeconfig = pulumi.interpolate \`
apiVersion: v1
clusters:
- cluster:
certificate-authority-data: \${cluster.masterAuth.clusterCaCertificate}
server: https://\${cluster.endpoint}
name: \${cluster.name}
contexts:
- context:
cluster: \${cluster.name}
user: \${cluster.name}
name: \${cluster.name}
current-context: \${cluster.name}
kind: Config
preferences: {}
users:
- name: \${cluster.name}
user:
auth-provider:
config:
access-token: \${gcp.config.accessToken}
cmd-args: config config-helper --format=json
cmd-path: gcloud
token: \${gcp.config.accessToken}
name: gcp
\`;
// Create a Kubernetes provider using the exported kubeconfig
const k8sProvider = new k8s.Provider("k8s-provider", {
kubeconfig: kubeconfig,
});
// Deploy the H2 database Helm chart
const h2Chart = new k8s.helm.v3.Chart("h2-database", {
chart: "h2-database",
version: "0.1.0",
fetchOpts: {
repo: "https://example.com/helm-charts",
},
}, { provider: k8sProvider });
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