1. Deploy the springboot helm chart on Kubernetes


    To deploy a Spring Boot application using a Helm chart on Kubernetes with Pulumi, you will need to first make sure you have a Kubernetes cluster running and that you have kubectl configured to interact with it. You also need to know the name of the Helm chart for your Spring Boot application or have a custom Helm chart ready.

    For this example, we'll use a hypothetical Helm chart called my-springboot-app, which is available in a Helm repository like Bitnami or ChartMuseum. If your chart is in a private repository or located on your filesystem, you will need to provide repository credentials or a filesystem path accordingly.

    Pulumi interacts with cloud resources using packages specific to each cloud provider. Here we will use the @pulumi/kubernetes package, which allows us to work with Kubernetes resources.

    The key Pulumi resource used to deploy a Helm chart is Chart from the @pulumi/kubernetes/helm/v3 module. It represents a Helm chart in a Pulumi program, which in turn corresponds to a collection of Kubernetes resources as defined by the chart.

    Below is a TypeScript program that creates a new instance of a Chart, which deploys your Spring Boot application:

    import * as k8s from "@pulumi/kubernetes"; // Create a Kubernetes Namespace const namespace = new k8s.core.v1.Namespace("namespace", { metadata: { name: "springboot-ns" }, }); // Deploy a Spring Boot Helm chart into the namespace created above const springBootApp = new k8s.helm.v3.Chart("my-springboot-app", { namespace: namespace.metadata.name, chart: "my-springboot-app", // Uncomment and replace the '<repository>' with your Helm chart's repository URL // if the chart is not in the default Helm repository. // fetchOpts: { // repo: "<repository>", // }, // If the Helm chart requires additional values, define them here. // For example, if your chart requires a specific application image and tag: // values: { // image: { // repository: "my-docker-registry/my-springboot-app", // tag: "latest", // }, // }, // Additional options such as setting up values, setting the version, etc. // version: "1.2.3", // Specify the chart version to deploy // values: { // key: "value", // Replace with key-value pairs required by the chart // }, }, { dependsOn: [namespace] }); // Export the base URL for the Spring Boot application // Assuming the Helm chart exposes a Service with type LoadBalancer or NodePort export const appUrl = springBootApp.getResourceProperty("v1/Service", "my-springboot-app", "status").apply(status => { // The status of the Service will depend on the type of service and cluster setup. // This is a simplistic approach for a LoadBalancer service, may need to be adjusted for other types or configurations. const ingress = status.loadBalancer.ingress[0]; if (ingress.hostname) { return `http://${ingress.hostname}`; } else if (ingress.ip) { return `http://${ingress.ip}`; } else { return "Service does not have an external IP or hostname yet."; } });

    This Pulumi program performs the following steps:

    1. It imports the necessary Pulumi Kubernetes module.
    2. It creates a Kubernetes namespace for the Spring Boot application.
    3. It deploys the Spring Boot Helm chart into this namespace with a simple declaration. If your chart requires you to override default values, specify the version, or connect to a private repository, you can provide additional options as shown in the comments.
    4. It assumes that your service will be exposed via a LoadBalancer and attempts to export the URL where your application can be accessed.

    Before you can run this Pulumi program, ensure you have Pulumi installed and your Kubernetes cluster access configured. Also, make sure to adjust the chart name, version, values, and repository as needed for your Spring Boot Helm chart.

    Once you have your Pulumi program set up, you can deploy your Spring Boot application by running pulumi up in the same directory as your program. This will initiate the deployment process. Pulumi will provide you with a preview of the changes and prompt you for confirmation before making any changes to your infrastructure. After confirmation, it will apply the changes and output any exported values like the appUrl.