1. Deploy the benthos helm chart on Digital Ocean Kubernetes Service

    TypeScript

    To deploy a Helm chart like Benthos on the DigitalOcean Kubernetes Service (DOKS) using Pulumi, you'll follow these general steps:

    1. Create a DigitalOcean Kubernetes cluster.
    2. Deploy the Benthos Helm chart onto this Kubernetes cluster.

    We'll be using the digitalocean package to provision the cluster, and the kubernetes package to interact with the Kubernetes cluster and deploy Helm charts.

    Here's a detailed program that demonstrates how to accomplish this with Pulumi and TypeScript:

    First, we will set up the necessary imports:

    • @pulumi/pulumi: The core Pulumi SDK.
    • @pulumi/digitalocean: The DigitalOcean package for Pulumi.
    • @pulumi/kubernetes: The Kubernetes package for Pulumi, which enables us to deploy Helm charts.

    Then, we'll create a new DigitalOcean Kubernetes cluster using digitalocean.KubernetesCluster. The properties for this resource will define our cluster’s size, region, and Kubernetes version.

    With the Kubernetes cluster set up, we'll use @pulumi/kubernetes to define a Helm chart resource, representing the Benthos chart. We'll need to specify the chart name, version, and repository URL if it's not a chart from the default Helm repository.

    Lastly, we'll export the kubeconfig of our cluster, which would allow you to interact with your Kubernetes cluster from your local machine using kubectl.

    Below is the TypeScript program that achieves the deployment:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Create a DigitalOcean Kubernetes cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc3", version: "1.21.5-do.0", nodePool: { name: "default", size: "s-2vcpu-2gb", // Choose the size that is appropriate for your workload nodeCount: 2, }, }); // Create a Kubernetes provider instance that uses our cluster from DigitalOcean const k8sProvider = new k8s.Provider("do-k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Deploy the Benthos Helm chart on the DigitalOcean Kubernetes cluster const benthosRelease = new k8s.helm.v3.Release("benthos-helm-chart", { chart: "benthos", version: "1.0", // Replace with the actual chart version you intend to deploy repositoryOpts: { repo: "https://helm.your-company.com" // Replace with the Helm chart's repository URL or remove if using a chart from Helm stable }, }, { provider: k8sProvider }); // Export the kubeconfig to access the cluster with kubectl export const kubeConfig = cluster.kubeConfigs[0].rawConfig;

    In this program:

    • We specified "nyc3" as the region and "s-2vcpu-2gb" as the node size — you can adjust these values to meet your preferences and requirements.
    • We created a new k8s.Provider which is necessary for Pulumi to communicate with our new Kubernetes cluster.
    • We are deploying the Benthos chart to our cluster. Make sure to fill in version with the correct version of your Helm chart, and repo with the URL to the Helm repository where Benthos is hosted.

    You can use the exported kubeconfig to connect to your Kubernetes cluster using the kubectl command-line tool. Keep the kubeconfig secure since it allows access to your cluster.

    To get started with this Pulumi code, you would save it to a file (e.g., index.ts), then run pulumi up within the same directory to create the resources in DigitalOcean. Ensure you have the Pulumi CLI installed and configured with access to your DigitalOcean account.