1. Deploy the onedev helm chart on Google Kubernetes Engine (GKE)


    Sure! I'll walk you through deploying the OneDev Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi and TypeScript. First, we'll set up the GKE cluster, then we'll deploy OneDev using the Helm chart.

    Step 1: Set Up a GKE Cluster

    Before we can deploy any applications, we need a Kubernetes cluster to run them. We'll use Pulumi to create a GKE cluster. Here's how:

    1. We'll start by importing the required Pulumi packages for GCP and the Helm chart.
    2. We'll then create a new GKE cluster by defining a Cluster resource.
    3. For simplicity, we'll use the default node pool configurations, but you can customize these as necessary for production use.

    Step 2: Deploy the OneDev Helm Chart

    Once our GKE cluster is ready, we can deploy OneDev using its Helm chart.

    1. We will add the Helm chart using the kubernetes.helm.v3.Chart resource from Pulumi's Kubernetes library.
    2. We need to set the chart name to onedev, and usually, Helm charts will be sourced from a Helm repository, but for this demo, we will assume the chart is available in the default Helm repositories.
    3. We pass the Kubernetes provider to the Helm chart to let it know which cluster to deploy to.

    Below you'll find the program that performs these steps. It's written in TypeScript, a language Pulumi supports for infrastructure as code:

    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("my-gke-cluster", { initialNodeCount: 2, nodeConfig: { machineType: "n1-standard-1", 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 export const clusterName = cluster.name; // Export the Cluster kubeconfig 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 `; }); // Create a Kubernetes provider instance that uses our cluster from above. const k8sProvider = new k8s.Provider("my-k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the OneDev Helm chart const onedevChart = new k8s.helm.v3.Chart("onedev", { chart: "onedev", // Version can be specified if required. For latest version, it is commented. // version: "specific-chart-version", }, { provider: k8sProvider }); // Export the OneDev service endpoint export const onedevService = onedevChart.getResourceProperty("v1/Service", "onedev", "status").apply(status => status.loadBalancer.ingress[0].ip);

    In the above program:

    • gcp.container.Cluster initializes a new GKE cluster. We provide a couple of basic configurations like initialNodeCount and nodeConfig.
    • We create a kubeconfig which is used to interact with the cluster using tools like kubectl.
    • k8s.Provider tells Pulumi which Kubernetes cluster we want to deploy resources to, using the generated kubeconfig.
    • Finally, k8s.helm.v3.Chart deploys OneDev. It specifically points to the Helm chart called onedev. The chart is assumed to be in the default Helm chart repositories.
    • We export important details, such as the cluster name and OneDev service's IP address, which can be used to access your OneDev instance.

    To run this Pulumi program:

    • Ensure you have Pulumi CLI installed and the GCP SDK configured with your credentials.
    • Place this code in a file named index.ts within a Pulumi project.
    • Run pulumi up to create the resources. Follow the CLI prompts to execute the deployment.

    After the deployment is complete, Pulumi will output the IP address where you can access OneDev. Now you have a fully operational instance of OneDev running in GKE!