1. Deploy the databend-query helm chart on Digital Ocean Kubernetes Service


    Deploying a Helm chart on Digital Ocean Kubernetes Service involves a few important steps. First, you'll need to provision a Kubernetes cluster on Digital Ocean. Following that, you can deploy the Helm chart, which might contain your application or service such as databend-query. Pulumi simplifies this process using code, so you can easily version, share, and repeat your deployments.

    To start with, you'll provision a DigitalOcean Kubernetes (DOKS) cluster. We'll be using the digitalocean.KubernetesCluster resource from the DigitalOcean Pulumi provider for this. Here are the steps for the whole process:

    1. Set up the DigitalOcean Kubernetes Cluster: Provision a new DOKS cluster.
    2. Install the Helm Chart: Once the cluster is available, install the databend-query Helm chart onto the cluster.

    Here's the Pulumi program in TypeScript that performs the above operations:

    import * as digitalocean from "@pulumi/digitalocean"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Create a DigitalOcean Kubernetes cluster. const cluster = new digitalocean.KubernetesCluster("databend-cluster", { region: "nyc3", // Choose the region that is best for you. version: "latest", // Specify the Kubernetes version, 'latest' will select the default version approved by DigitalOcean at that time. nodePool: { name: "worker-pool", size: "s-1vcpu-2gb", // Select the size of the Droplet to act as workers in the cluster. nodeCount: 2, // Define the number of Droplets you want in the node pool. }, }); // Export the clusters' kubeconfig. export const kubeconfig = cluster.kubeConfigs[0].rawConfig; // Set the kubeconfig for the Pulumi Kubernetes provider. const k8sProvider = new k8s.Provider("doks-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Deploy the databend-query Helm chart on the DigitalOcean Kubernetes cluster. const databendChart = new k8s.helm.v3.Chart("databend-query-chart", { chart: "databend-query", // Add the repository where the databend-query chart is located. repositoryOpts: { repo: "https://charts.databend.rs/", }, // Specify the version of the chart as required. version: "your-chart-version", // You can provide additional configuration options here, you will need to refer to the databend-query Helm chart's documentation for all configurable options. values: { // Place your custom values here. }, }, { provider: k8sProvider }); // Export a URL for access to the databend-query instance. export const databendServiceUrl = pulumi.interpolate`http://${cluster.endpoint}/...`;

    Breaking down the key parts of this program:

    • We first declare a new Kubernetes cluster in DigitalOcean by using digitalocean.KubernetesCluster. This sets up the cluster in the specified region with the selected Droplet sizes in the worker node pool.

    • The kubeconfig of the created Kubernetes cluster is exported, which is required to interact with the cluster using kubectl or any Kubernetes client.

    • A Kubernetes provider is instantiated and configured with the kubeconfig of our DOKS cluster. This tells Pulumi how to communicate with our new Kubernetes cluster.

    • The Helm chart for databend-query is deployed using k8s.helm.v3.Chart, where you need to specify the location and version of the Helm chart in the repository options and version field. You also have the option to provide custom values that configure the Helm chart.

    • Finally, we export a placeholder URL which you will need to replace with the actual path or method to access the databend-query service once it is deployed on the cluster.

    Remember, before running this code, you must have Pulumi installed and configured with DigitalOcean credentials. Also, review and adjust your Droplet sizes, node counts, and regions based on your requirements and budget. Make sure to validate the repository and version information for the databend-query Helm chart.