1. Deploy the tt-workflow-driver helm chart on Digital Ocean Kubernetes Service


    To deploy a Helm chart on the Digital Ocean Kubernetes Service using Pulumi, we'll perform a series of steps within our TypeScript program:

    1. Create a new Kubernetes cluster on DigitalOcean.
    2. Use the Pulumi Kubernetes provider to deploy a Helm chart onto the cluster.

    We'll use the digitalocean.KubernetesCluster resource to provision the cluster and kubernetes.helm.v3.Chart to deploy the Helm chart.

    Here's a step-by-step program for deploying the tt-workflow-driver Helm chart on a Digital Ocean Kubernetes cluster:

    import * as digitalocean from "@pulumi/digitalocean"; import * as kubernetes from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create a new DigitalOcean Kubernetes cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc1", version: "latest", // Specify your desired Kubernetes version nodePool: { size: "s-2vcpu-2gb", // Choose the node size that fits your needs name: "default", nodeCount: 2, // Specify the number of nodes in the node pool }, }); // Export the cluster's kubeconfig export const kubeconfig = cluster.kubeConfigs.apply((kc) => kc[0].rawConfig); // Step 2: Deploy a Helm chart onto our DigitalOcean Kubernetes cluster const kubeconfigProvider = new kubernetes.Provider("kubeconfig-provider", { kubeconfig: kubeconfig, }); const helmChart = new kubernetes.helm.v3.Chart("tt-workflow-driver", { chart: "tt-workflow-driver", // You might need to specify a repository URL if the chart is not in the default Helm repo // e.g., repo: "http://charts.example.com/" // If the chart requires custom values, specify them here, for example: // values: { // service: { // type: "ClusterIP", // }, // }, }, { provider: kubeconfigProvider }); // Optionally, if you want to access the chart externally, assuming there's a Service of LoadBalancer type, // you would wait for it to be allocated an external IP and then export that information. // For example: export const frontendIp = helmChart.getResourceProperty("v1/Service", "tt-workflow-driver", "status") .apply(status => status.loadBalancer.ingress[0].ip);


    • We started by importing the necessary Pulumi packages for DigitalOcean (@pulumi/digitalocean) and Kubernetes (@pulumi/kubernetes).
    • We created a Kubernetes cluster on DigitalOcean with the desired region, Kubernetes version, node size, and number of nodes.
    • We exported the kubeconfig file which contains the credentials to connect to our Kubernetes cluster.
    • A new Pulumi Kubernetes provider was instantiated to interact with our cluster using the kubeconfig.
    • We then created a new Helm chart resource that targets our DigitalOcean Kubernetes cluster. Make sure you specify any custom values your Helm chart may require.
    • Finally, we exported the front-end IP address assuming our Helm chart contained a LoadBalancer service to access the application externally.

    Remember to replace "tt-workflow-driver" with the correct name of the Helm chart you're using, and you may need to specify the repo field with an appropriate value if your chart is hosted in a custom Helm repository that is not the default public one.

    To apply this Pulumi program:

    1. Ensure you have Pulumi and the necessary cloud CLI tools installed and configured.
    2. Save this program to a file named index.ts.
    3. Run pulumi up to execute the Pulumi program that provisions the resources.

    This program will create a new Kubernetes cluster on DigitalOcean and deploy the specified tt-workflow-driver Helm chart into it. If the Helm chart contains externally accessible services, such as a LoadBalancer, the relevant IP address will be exported for your convenience.