1. Deploy the mod-serials-management helm chart on Google Kubernetes Engine (GKE)


    To deploy a Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi, you'll need to follow these steps:

    1. Set Up Your GKE Cluster: Before deploying any applications, you need a running GKE cluster. Using Pulumi, you can define the desired state of your GKE cluster using code and Pulumi will manage creating the cluster for you.

    2. Install the Helm Chart: Once you have your GKE cluster, you can deploy applications using Helm charts. Helm is a package manager for Kubernetes that allows you to package, configure, and deploy applications and services onto Kubernetes clusters.

    Here's a program that demonstrates these steps using TypeScript. Make sure you have Pulumi installed and your GCP account configured with Pulumi CLI before running this program.

    First, we'll start with the GKE cluster setup:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Create a GKE cluster const cluster = new gcp.container.Cluster("mod-serials-management-cluster", { initialNodeCount: 2, minMasterVersion: "latest", // Use the latest available version of GKE nodeConfig: { machineType: "n1-standard-1", // Depending on your needs, you might choose a different machine type }, }); // Export the Cluster name export const clusterName = cluster.name; // Export the Kubeconfig to access the Cluster 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 `; });

    After the cluster is created, we can move on to deploying the Helm chart. For this example, please make sure to replace "helm-repo-name" and "helm-chart-name" with the actual repository and chart names you intend to use. If the chart requires custom values, you would add a values property to the Release resource.

    // Create a Kubernetes Provider instance that uses our cluster from above. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the mod-serials-management Helm chart into the GKE cluster const modSerialsManagementChart = new k8s.helm.v3.Release("mod-serials-management", { chart: "mod-serials-management", version: "1.0.0", // Use the correct chart version repositoryOpts: { repo: "http://charts.your-company.com/", // Replace with your Helm chart repository URL }, }, { provider: k8sProvider }); // Export the Helm chart release name export const modSerialsManagementChartName = modSerialsManagementChart.name;

    Place both code snippets into a single index.ts file and run the program with pulumi up. The program will orchestrate creating the GKE cluster and deploying the Helm chart within it.

    The resources used in this program include:

    • gcp.container.Cluster: This resource is used to create and manage a GKE cluster in Google Cloud Platform (GCP).
    • k8s.Provider: This Pulumi Kubernetes resource is used to interact with the created GKE cluster.
    • k8s.helm.v3.Release: This resource represents a Helm chart release. It is used to deploy the "mod-serials-management" Helm chart onto your GKE cluster.

    The kubeconfig output can be used with kubectl or other Kubernetes tooling to interact with the cluster.

    Remember to replace the placeholder values for chart, repositoryOpts.repo, and version with the actual details of the Helm chart you wish to deploy. If your Helm chart is publicly available, make sure to provide the correct repository URL. If it's private, you will need additional configurations to handle authentication to your Helm repository.