1. Deploy the python-api-postgres helm chart on Kubernetes


    To deploy a Helm chart using Pulumi, you'll need to work with the @pulumi/kubernetes package. Specifically, you'll use the Chart class from the helm.sh/v3 module to deploy the python-api-postgres chart. This Helm chart is responsible for setting up a Python API application with a PostgreSQL database on a Kubernetes cluster.

    The following Pulumi program in TypeScript will guide you through deploying the python-api-postgres Helm chart to an existing Kubernetes cluster. Before running the code, ensure that you have Pulumi and kubectl installed and configured to connect to your Kubernetes cluster.

    Below is the detailed Pulumi program in TypeScript:

    import * as k8s from "@pulumi/kubernetes"; // Create a new instance of the Helm Chart for the python-api-postgres application. // Ensure you have added the required Helm repository and have access to the chart. const pythonApiPostgresChart = new k8s.helm.v3.Chart("python-api-postgres", { // Replace the below values with the actual repository and chart name for the python-api-postgres Helm chart. // If the chart is available on a public repository, specify the repo URL, else add it via `helm repo add` command. repo: "my-helm-repo", chart: "python-api-postgres", version: "1.0.0", // Specify the version of the chart you want to deploy. namespace: "default", // The namespace where you want to deploy the chart. Change if needed. // Values to provide to the Helm chart. The structure depends on the specific Helm chart. // You may need to refer to the Helm chart's values.yaml to understand which values are expected. values: { // Insert the values required by the python-api-postgres Helm chart. // This typically includes configuration for the application and database. // It might look something like the example below. apiService: { image: "python-api-image", // The image for the Python API service serviceType: "LoadBalancer" // Expose the service via a LoadBalancer, change as needed }, postgres: { // Postgres configuration... image: "postgres:latest", // Specifies the PostgreSQL image to use. Use a specific tag to pin the version. persistence: { enabled: true, // Enable persistent storage size: "10Gi" // Size of the persistent volume } } } }); // Export the Chart's status, typically URL or other endpoints. This depends on the chart's output and setup. export const chartStatus = pythonApiPostgresChart.status;

    This program defines a Helm chart resource for the python-api-postgres application. You need to update placeholders like my-helm-repo and python-api-image with actual values that are appropriate for the Helm chart you're using. Once you define the chart and values, Pulumi will handle the deployment process for you.

    Before running the program, ensure that you switch to the directory containing your Pulumi project. You can execute the Pulumi program using the following Pulumi CLI commands:

    pulumi up

    This command prompts you to confirm the deployment after displaying the planned changes. Once you confirm, Pulumi will proceed with deploying the Helm chart to your Kubernetes cluster.

    Remember to check the values expected by your particular Helm chart, as they can vary widely depending on the application configuration and the requirements of the PostgreSQL deployment. You'll find these details in the values.yaml file of the Helm chart or in the chart's documentation.

    After the deployment, you can validate the status using kubectl to see your Python API application and PostgreSQL database running in the specified Kubernetes namespace.