1. Deploy the sentry-db helm chart on Google Kubernetes Engine (GKE)


    Deploying a Helm chart to a Kubernetes cluster involves several steps. First, you will need a Kubernetes cluster running on Google Kubernetes Engine (GKE). After that, you will deploy the Helm chart to that cluster.

    To guide you through the process, let's divide the task into two parts:

    1. Create a GKE cluster
    2. Deploy Helm chart (sentry-db in this case) to the created GKE cluster.

    To create a GKE cluster with Pulumi, you'll use the gcp.container.Cluster resource. This resource allows you to define the configurations of your GKE cluster. Once the cluster is created, you will set up the necessary configuration to deploy the Helm chart using the kubernetes.helm.v3.Chart resource.

    Here's a Pulumi program in TypeScript to accomplish the above tasks:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create a GKE cluster const cluster = new gcp.container.Cluster("sentry-db-cluster", { initialNodeCount: 1, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { preemptible: true, 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; // Step 2: Define a Kubernetes Provider that uses our GKE cluster's kubeconfig const k8sProvider = new k8s.Provider("sentry-db-provider", { kubeconfig: cluster.endpoint.apply(endpoint => { const kubeconfig = `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${cluster.masterAuth.clusterCaCertificate} server: https://${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: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; return kubeconfig; }), }); // Step 3: Deploy the sentry-db helm chart to the GKE cluster const sentryDbChart = new k8s.helm.v3.Chart("sentry-db-chart", { repo: "sentry", chart: "sentry-db", version: "1.0.0", // specify the exact chart version }, { provider: k8sProvider } ); // Export the Helm chart deployment status export const sentryDbChartStatus = sentryDbChart.status;

    Let me explain the code above:

    1. We import the necessary modules from Pulumi's GCP and Kubernetes packages.
    2. We create a GKE cluster with a single node pool (initialNodeCount: 1). We use a preemptible node of type n1-standard-1 and specify the required OAuth scopes for our Kubernetes nodes.
    3. We export the name of the GKE cluster using export const clusterName.
    4. We set up a Kubernetes Provider pointing to our GKE cluster, using the cluster's endpoint and its Master's clusterCaCertificate. This configuration allows us to interact with the cluster using the Kubernetes SDK as our provider.
    5. We deploy the sentry-db chart from the sentry Helm repository to our GKE cluster with the k8s.helm.v3.Chart resource. It's important to specify the chart's repo, chart, and version fields correctly. If the sentry repo is not the actual name of the Helm chart's repository, this will need to be changed accordingly. Also, we associate this Helm deployment with our Kubernetes Provider.
    6. Lastly, we export the status of our Helm chart deployment with export const sentryDbChartStatus.

    Remember to replace "sentry" with the correct Helm repo URL and "1.0.0" with the version of the sentry-db chart that you want to deploy. The sentry-db chart information should be available on the Helm repository or chart documentation.

    To apply this Pulumi program:

    1. Make sure you have Pulumi installed and configured.
    2. Save the code into a file with a .ts extension in a directory, typically with other Pulumi project files (Pulumi.yaml, index.ts, etc.).
    3. Run pulumi up in your terminal in the same directory. Pulumi will execute the code and create the GKE cluster and deploy the sentry-db Helm chart.

    This is a basic example, and in a production scenario, you might need to add more configurations, like setting up node pool subnetworks, configuring IAM roles, or managing more advanced Helm configurations.