1. Deploy the sqs-connector helm chart on Digital Ocean Kubernetes Service


    To deploy the sqs-connector Helm chart on a DigitalOcean Kubernetes Service (DOKS) cluster using Pulumi, we'll have to complete two main tasks:

    1. Provision a Kubernetes cluster on DigitalOcean.
    2. Deploy the sqs-connector Helm chart to the provisioned DOKS cluster.

    Provisioning a Kubernetes Cluster on DigitalOcean

    Pulumi allows you to define infrastructure in code, which can be written in TypeScript for your use case. The digitalocean.KubernetesCluster resource is used to create and manage a Kubernetes cluster on DigitalOcean.

    Deploying a Helm Chart on the Cluster

    Once you have your Kubernetes cluster up and running, you can use the kubernetes.helm.v3.Chart resource to deploy the Helm chart. Helm charts are packages that contain pre-configured Kubernetes resources which simplify the deployment and management of applications on Kubernetes.

    Below is a Pulumi program written in TypeScript to accomplish these tasks. Before running the program, ensure you have done the following:

    • Installed Pulumi CLI and set up the Pulumi project.
    • Configured your DigitalOcean access token with the pulumi config set digitalocean:token YOUR_TOKEN.
    • Installed Node.js and the required Pulumi packages for TypeScript.

    Now, let's walk through the code:

    import * as digitalocean from "@pulumi/digitalocean"; import * as kubernetes from "@pulumi/kubernetes"; // Create a DigitalOcean Kubernetes Cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc3", // Select the region where you want to deploy version: "latest", // Use the latest available version of Kubernetes nodePool: { name: "default-pool", size: "s-2vcpu-2gb", // Choose the size for your nodes nodeCount: 3, // Specify the number of nodes in the node pool }, }); // Once the cluster is provisioned, Pulumi provides us with the Kubeconfig const kubeconfig = cluster.kubeConfigs[0].rawConfig; // Export the kubeconfig to be used with kubectl export const kubeConfigOutput = kubeconfig; // Create a Kubernetes Provider instance using the kubeconfig from the cluster we just created const k8sProvider = new kubernetes.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the `sqs-connector` Helm chart on the Kubernetes cluster const sqsConnectorChart = new kubernetes.helm.v3.Chart("sqs-connector", { chart: "sqs-connector", // You would normally specify the repository here // repo: "https://charts.example.com/", // You can provide additional configuration values for the Helm chart here, // such as the details of your AWS credentials and the SQS queue details values: { // awsAccessKeyId: "...", // awsSecretAccessKey: "...", // sqsQueueUrl: "https://sqs.us-east-1.amazonaws.com/123456789012/myqueue", }, }, { provider: k8sProvider }); // Make sure to pass the provider we created // Optionally, you can export additional outputs such as the status of the Helm release or URLs export const helmReleaseStatus = sqsConnectorChart.status;

    In this program, we started by defining a new DigitalOcean Kubernetes cluster in the specified region with the node pool configuration. Once the cluster is up, we use its kubeconfig to set up a Kubernetes provider. This provider is necessary for the Pulumi Kubernetes resource to interact with the newly created cluster.

    Then, we use the Helm Chart resource to deploy sqs-connector. You will need to specify additional values like the Helm chart repository and any needed configuration parameters, such as AWS credentials and SQS queue information.

    To apply this Pulumi code:

    1. Save the above code in a file named index.ts.
    2. Run pulumi up in the terminal within the directory of your Pulumi project.

    Pulumi will then execute the program, create the infrastructure as defined, and output any exported variables you've specified.

    Keep the Pulumi Stack outputs safe, as they contain sensitive information related to your Kubernetes cluster, which you'll need for managing your Kubernetes resources with kubectl or any Kubernetes client.