1. Deploy the mongo-gui helm chart on Digital Ocean Kubernetes Service


    To deploy the mongo-gui Helm chart on Digital Ocean Kubernetes Service (DOKS), you'll need to take the following steps:

    1. Set up a DOKS cluster: Start by creating a Kubernetes cluster on Digital Ocean.
    2. Install the Helm Chart: Once the cluster is ready, you can use Pulumi's Kubernetes provider to install the mongo-gui Helm chart.

    Here is a step-by-step guide and a TypeScript program in Pulumi to accomplish this:

    Step 1: Define Your DigitalOcean Kubernetes Cluster

    You will define a Kubernetes cluster in DigitalOcean. This is where your Helm chart will later be deployed.

    Step 2: Configure Your Helm Chart

    After setting up the cluster, you will define the Helm chart. You need to specify the chart name and version, plus any values that are required for the chart configuration. Some charts allow you to override default configurations by providing a values object.

    Step 3: Deploy Using Pulumi

    Finally, deploy your cluster and helm chart using Pulumi. You apply this program by running pulumi up in your terminal, assuming you have Pulumi CLI installed and configured for use with DigitalOcean.

    Let's proceed with the Pulumi TypeScript program:

    import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create a DigitalOcean Kubernetes cluster const cluster = new digitalocean.KubernetesCluster("mongo-gui-cluster", { region: "nyc1", // Choose a region that makes sense for you version: "latest", // Use the latest available version of Kubernetes nodePool: { name: "worker-pool", size: "s-2vcpu-2gb", // You can adjust the size of your nodes based on your needs nodeCount: 2, // Number of nodes in the node pool }, }); // Step 2: Define the Helm Release for the mongo-gui const helmRelease = new k8s.helm.v3.Chart("mongo-gui", { chart: "mongo-gui", version: "1.0.0", // Use the appropriate version for the chart fetchOpts: { repo: "http://helm-repo/mongo-gui", // Replace with the correct repository URL }, // You may need to specify additional custom values for your release, // such as mongodb host, username, password, etc. These values can // be obtained from other resources or configurations like secrets or configMaps. values: { // Example of custom values service: { type: "LoadBalancer", port: 80, }, // additional chart values here }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig }) }); // Step 3: Export important data about the deployment export const kubeconfig = cluster.kubeConfigs[0].rawConfig; export const mongoGuiServiceIP = helmRelease.getResourceProperty("v1/Service", "mongo-gui", "status").apply(status => status.loadBalancer.ingress[0].ip);

    In this program:

    • A Kubernetes cluster is defined on Digital Ocean with the digitalocean.KubernetesCluster resource. You can adjust the size and number of nodes according to your requirements.
    • The k8s.helm.v3.Chart resource is used to deploy the mongo-gui Helm chart to the cluster. Replace the chart, version, and repo fields with values appropriate to your chart. Add any custom values needed for the Helm chart configuration.
    • We provide a Kubernetes provider instance to the Helm chart with the kubeconfig from the newly created cluster.
    • At the end of the program, we export the raw kubeconfig to allow you to interact with the cluster using kubectl. We also export the external IP address of the mongo-gui service assuming it's of type LoadBalancer.

    This program creates a new DOKS cluster and deploys the specified Helm chart. Remember, before running the program with pulumi up, you must ensure that you have a Pulumi account set up, the Pulumi CLI installed, and the appropriate access tokens for DigitalOcean and any other services your Pulumi program interacts with.

    For more details on working with DigitalOcean Kubernetes Cluster in Pulumi, you can check the documentation here, and for deploying Helm charts with Pulumi here.