1. Deploy the extension-meta-llm-vicuna-model-runtime helm chart on Digital Ocean Kubernetes Service


    To deploy a Helm chart on a Digital Ocean Kubernetes Service (DOKS) using Pulumi, we need to perform the following steps:

    1. Set up a new Pulumi project: Start by installing Pulumi and setting up a new project and stack via the Pulumi CLI. This is your working environment where Pulumi code will be written and deployed from.

    2. Create a Kubernetes cluster on DigitalOcean: With Pulumi, you can programmatically provision a DOKS cluster by defining a KubernetesCluster resource. This represents the cluster where you will deploy the Helm chart.

    3. Install a Helm chart: Once we have a Kubernetes cluster, we can deploy the extension-meta-llm-vicuna-model-runtime Helm chart to it. We will use the Chart resource from the kubernetes provider to accomplish this. You will need to provide specific details such as the chart name, version, and any custom values required by the chart.

    Below is a Pulumi program written in TypeScript that demonstrates how to carry out these steps. Keep in mind that before running this code, you will need to have your DigitalOcean access token configured with Pulumi.

    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: digitalocean.Regions.NYC1, version: "latest", nodePool: { name: "default", size: digitalocean.DropletSlugs.DropletS2VCPU2GB, nodeCount: 1, }, }); // Obtain the Kubeconfig from the newly created cluster. const kubeconfig = cluster.kubeConfigs[0].rawConfig; // Initialize a Kubernetes provider instance with the cluster's kubeconfig. const k8sProvider = new kubernetes.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy a Helm chart to the DigitalOcean Kubernetes cluster. const helmChart = new kubernetes.helm.v3.Chart("llm-vicuna-chart", { chart: "extension-meta-llm-vicuna-model-runtime", // Specify the correct repository or URL for the helm chart. fetchOpts: { repo: "http://charts.example.com/repository", }, namespace: "default", // Use an appropriate namespace if necessary. // If custom values are needed for the Helm chart, provide them here. values: { // ... provide chart-specific configuration here ... }, }, { provider: k8sProvider }); // Expose the Kubernetes cluster endpoint. export const kubeClusterEndpoint = cluster.endpoint; // Expose the Helm chart resources if you need to reference any specific service URLs or other resource attributes. export const helmResources = helmChart.resources;

    This code is doing the following:

    • We define a DigitalOcean Kubernetes cluster with a single node, specifying the region and Droplet size. This uses the digitalocean.KubernetesCluster resource from the DigitalOcean Pulumi provider.

    • Once the cluster is created, we retrieve the kubeconfig file that will allow access to the cluster.

    • We initialize a Kubernetes provider with this kubeconfig which will be used to interact with our DOKS cluster.

    • We then create a Helm Chart instance defined by kubernetes.helm.v3.Chart, which deploys your specified Helm chart using the fetchOpts to specify the repository containing the Helm chart. Be sure to update this part with the correct repository details.

    • We are exporting two outputs: the cluster's endpoint, and the set of Kubernetes resources created as a result of deploying the Helm chart, so they can be easily accessed and inspected after deployment.

    To deploy this infrastructure, save the code to a file (e.g., index.ts), and proceed by running pulumi up from within the directory where the file is saved. Ensure you've selected the appropriate Pulumi stack (which corresponds to the environment you wish to deploy to).

    Remember, you need to have Pulumi installed and configured, along with the necessary cloud provider credentials setup on your system or CI/CD environment to be able to execute Pulumi programs.