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


    Deploying a Helm chart on Google Kubernetes Engine using Pulumi involves several steps. First, you need to create a GKE cluster using google-native.container.v1beta1.Cluster. Once the cluster is created, you can deploy your Helm chart to that cluster using the kubernetes.helm.sh/v3.Release resource.

    Below is a step-by-step TypeScript program that accomplishes the deployment of the Benthos Helm chart on GKE:

    1. Setting up a GKE cluster:

      • Import the necessary google-native and kubernetes packages from Pulumi.
      • Define a GKE cluster resource.
      • Make sure you have a Kubernetes context set up in your .kube/config so that Pulumi can interact with your cluster.
    2. Deploying the Benthos Helm chart using Helm Release:

      • Import the @pulumi/kubernetes package for Helm chart deployment.
      • Create a new Helm Release, referencing the Benthos chart from a known Helm chart repository.

    Here's the TypeScript program that performs these tasks:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Initialize a new Pulumi project, which allows us to define our infrastructure const projectName = pulumi.getProject(); // Create the GKE cluster const cluster = new gcp.container.Cluster(`${projectName}-cluster`, { initialNodeCount: 2, minMasterVersion: "latest", location: "us-central1-a", 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; // Once the cluster is created, we can configure a Kubernetes provider that uses the cluster's kubeconfig const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigRaw, }); // Deploy the Benthos Helm chart const benthosRelease = new k8s.helm.v3.Release("benthos-release", { chart: "benthos", repositoryOpts: { repo: "https://helm.benthos.dev", }, namespace: "default", values: { // Custom Benthos values can be specified here }, }, { provider: k8sProvider }); // Export the Benthos Release name export const benthosReleaseName = benthosRelease.name;

    This program does the following:

    • Defines a GKE cluster resource using the @pulumi/gcp package with a specified number of nodes, GCP zone, and node machine type.
    • Exports the created cluster name for future reference.
    • Sets up a Pulumi Kubernetes provider that uses the cluster's kubeconfig to allow us to deploy Kubernetes resources.
    • Deploys the Benthos Helm chart using @pulumi/kubernetes's helm.v3.Release resource and specifies the Helm chart repository.
    • Optionally, you can pass in custom values to the values property to configure Benthos according to your needs.
    • Exports the name of the Benthos Helm release.

    To use this program effectively, make sure that:

    • You have gcloud and kubectl installed and configured to interact with your GCP account where you have enough permissions to create GKE clusters and deploy resources.
    • You have the @pulumi/gcp and @pulumi/kubernetes packages installed.
    • Your Pulumi stack is configured correctly with GCP as the target cloud provider.

    To run this Pulumi program:

    1. Save the code in a file with a .ts extension (e.g., main.ts).
    2. Run pulumi up to preview and deploy the changes.

    Remember, deploying a GKE cluster and activating the Kubernetes provider will create resources on GCP that may incur costs. Keep track of these resources and manage them according to your budget and needs.