Deploy the ansible-semaphore helm chart on Google Kubernetes Engine (GKE)
TypeScriptTo deploy the
ansible-semaphore
Helm chart on Google Kubernetes Engine (GKE), you will need to complete the following steps:- Create a GKE cluster.
- Configure your Pulumi program to use the Helm chart.
- Deploy the chart to your cluster.
Below is a Pulumi program that demonstrates this process using TypeScript. This program leverages Pulumi's GKE and Helm support to create a Kubernetes cluster and deploy the chart to it.
Detailed Explanation
Creating GKE Cluster
The
google-native.container/v1.Cluster
resource (docs) is used to create the GKE cluster. You must provide various properties required for the cluster configuration, such as the name, location, and node configuration.Setting up K8s Provider
To interact with the Kubernetes cluster that we just created, we need to use the Pulumi
kubernetes
provider. This provider will allow us to deploy Helm charts to the cluster. The Pulumi program must authenticate to the cluster. This is implicitly handled by Pulumi, which reads the kubeconfig file generated during the GKE cluster creation.Deploying Helm Chart
The
kubernetes.helm.v3.Chart
resource (docs) represents a Helm chart in a Pulumi program. We use it to deployansible-semaphore
. Note that you need to specify the chart name and may also need to specify the repository URL where the Helm chart is located if it's not in the default Helm repository.Pulumi TypeScript Program
import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as googleNative from "@pulumi/google-native"; // Step 1: Create a GKE cluster const cluster = new googleNative.container.v1.Cluster("ansible-semaphore-cluster", { // Replace these with appropriate values or logic to generate them project: "your-gcp-project-id", location: "us-central1-c", initialNodeCount: 1, nodeConfig: { // Machine type can be adjusted based on the load you expect machineType: "e2-medium", }, }); // Step 2: Set up the Pulumi Kubernetes provider to interact with the GKE cluster const k8sProvider = new k8s.Provider("k8s", { kubeconfig: cluster.endpoint.apply(endpoint => cluster.masterAuth.apply(masterAuth => { const context = `gke_${process.env.PULUMI_GCP_PROJECT}_${cluster.location}_${cluster.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 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: Deploy the Helm chart to the GKE cluster const semaphoreHelmChart = new k8s.helm.v3.Chart("ansible-semaphore-chart", { chart: "ansible-semaphore", // Assuming the Helm chart for ansible-semaphore is in a repo called 'ansible-semaphore-repo', // replace this with the actual repository URL if needed. fetchOpts: { repo: "https://charts.yourcompany.com/", }, // Define any values here you need to customize your Helm chart installation values: {}, }, { provider: k8sProvider }); // Export relevant resources export const clusterName = cluster.name; export const kubeconfig = k8sProvider.kubeconfig;
This program will create a new GKE cluster and deploy the
ansible-semaphore
Helm chart to it. Make sure to replace the placeholders with actual values. For example, you'll need a proper GCP project ID and determine the best location and machine type for your cluster's needs.Finally, the
kubeconfig
export statement will output the kubeconfig you can use to interact with your Kubernetes cluster using other tools outside of Pulumi, such askubectl
.When you're ready, you can run this Pulumi program using the Pulumi CLI, and it will perform all the defined actions.