1. Deploy the python-fastapi-postgres helm chart on Oracle Kubernetes Engine (OKE)


    To deploy the python-fastapi-postgres Helm chart on Oracle Kubernetes Engine (OKE), we will use the following Pulumi resources:

    1. oci.ContainerEngine.Cluster: This resource will provision an OKE cluster where our application will reside.
    2. kubernetes.helm.sh/v3.Chart: This represents a Helm chart for a set of Kubernetes resources, in this case, python-fastapi-postgres.

    The process involves creating an OKE cluster and then deploying the Helm chart to that cluster.

    Below is a TypeScript program that defines the necessary Pulumi resources to accomplish this task. The actual deployment of the Helm chart to the OKE cluster will occur during the Pulumi up operation, which requires OCI credentials configured in your environment.

    Make sure you have the Pulumi CLI installed and you are logged in to your OCI account.

    Here's the program:

    import * as pulumi from "@pulumi/pulumi"; import * as oci from "@pulumi/oci"; import * as k8s from "@pulumi/kubernetes"; // Define your compartment ID where the OKE cluster should be provisioned const compartmentId = "your-oci-compartment-id"; // Create an OKE cluster const cluster = new oci.containerengine.Cluster("myOkeCluster", { compartmentId: compartmentId, vcnId: "oci-vcn-id", // Ensure you have a VCN ID to reference kubernetesVersion: "v1.21.4", // Use a version compatible with your requirements options: { admissionControllerOptions: { isPodSecurityPolicyEnabled: true, }, // Define other options as needed for your specific use case }, }); // Once your cluster is created, you need to configure Kubernetes providers to point to the OKE cluster. // For this, you will need to retrieve the kubeconfig file from OCI. // For brevity, we're passing empty kubeconfig - in a real scenario, you would fetch and use an actual kubeconfig const k8sProvider = new k8s.Provider("myK8sProvider", { kubeconfig: "", }); // Deploy the python-fastapi-postgres Helm chart to the OKE cluster const chart = new k8s.helm.v3.Chart("myPythonFastApiPostgresChart", { chart: "python-fastapi-postgres", // Specify the repository if it's from a custom Helm chart repository // or properly reference if it's stored in one of the known repositories version: "chart-version", // replace with the actual chart version namespace: "default", // specify the namespace if needed }, { provider: k8sProvider }); // Export the cluster’s endpoint and kubeconfig in order for us to interact with the cluster export const kubeconfig = cluster.kubeconfig; export const clusterEndpoint = cluster.endpoints.apply(e => e.publicEndpoint);

    Note about kubeconfig: The above code assumes an already created and configured Kubernetes cluster with required networking and permissions set up in OCI. The kubeconfig variable in the k8s.Provider instantiation is currently set as an empty string for brevity. In a real-world scenario, you need to use the OCI CLI or SDK to generate the kubeconfig for your OKE cluster. The generated kubeconfig will have details on how to connect to the Kubernetes API server.

    Before running the program, ensure that you fill in the appropriate details such as your compartment ID, VCN ID, the version of Kubernetes you want to use, and the version of the Helm chart you're deploying.

    To execute the program, run the following commands:

    1. Initialize a new Pulumi stack, which is an isolated environment for your project:

      pulumi stack init dev
    2. Set the required OCI configuration for Pulumi:

      pulumi config set oci:compartmentId your-oci-compartment-id
    3. Install dependencies:

      npm install
    4. Run pulumi up to create the resources. Pulumi will print out the proposed changes before making them:

      pulumi up

    After running pulumi up, your OKE cluster and Helm chart deployment should be provisioned as specified.