1. Deploy the krakend helm chart on Google Kubernetes Engine (GKE)


    To deploy the KrakenD Helm chart on Google Kubernetes Engine (GKE), we'll go through several steps:

    1. Set up a GKE cluster: Before deploying any applications, we need a Kubernetes cluster. In GKE, clusters are the primary resources when you want to run containers. Each cluster has at least one node pool, and each node pool contains at least one node.

    2. Install the Helm chart: Once we have a Kubernetes cluster, we'll use Helm to deploy KrakenD. Helm is a package manager for Kubernetes, which streamlines installing and managing applications.

    Here is how you can create a GKE cluster and deploy the KrakenD Helm chart using Pulumi and TypeScript:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Create a GKE cluster const cluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { // Choose the machine type based on your load expectations machineType: "n1-standard-1", oauthScopes: [ "https://www.googleapis.com/auth/cloud-platform", ], }, }); // Export the Kubeconfig so that the Kubernetes provider can use it to deploy resources to the GKE cluster export const kubeconfig = cluster.kubeconfig.apply(JSON.stringify); // Create an instance of the Kubernetes provider const provider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the KrakenD Helm chart using the Kubernetes provider const krakendChart = new k8s.helm.v3.Chart("krakend-chart", { chart: "krakend", version: "x.y.z", // The version of the KrakenD Helm chart you want to deploy fetchOpts:{ repo: "https://helm-repo-containing-krakend", // The Helm repository containing the KrakenD chart }, }, { provider }); // Optionally, we can export the cluster name and endpoint export const clusterName = cluster.name; export const clusterEndpoint = cluster.endpoint;

    In this program:

    • We import the necessary Pulumi packages for working with GCP and Kubernetes.
    • We instantiate a gcp.container.Cluster, which creates a new GKE cluster with an initial node count of 2. You can adjust the machineType and other properties to match your specific needs.
    • We obtain the kubeconfig from the newly created GKE cluster, which is necessary for the Kubernetes provider to interact with it.
    • We define a k8s.Provider which uses the kubeconfig to configure our connection to the Kubernetes cluster.
    • We deploy the KrakenD Helm chart by creating a new k8s.helm.v3.Chart resource. In the chart field, we specify "krakend", which is the name of the Helm chart for KrakenD. Replace "x.y.z" with the chart version and provide the correct Helm repository URL containing the KrakenD chart.
    • We export the name and endpoint of the cluster as stack outputs, which can be useful for accessing the cluster from CI/CD systems or for manual configuration purposes.

    Remember to replace placeholder values such as the chart version and Helm repository URL with actual values that correspond to the KrakenD Helm chart you wish to install.

    Before running this Pulumi program, you must have Pulumi installed, be authenticated with GCP, and have Helm and kubectl command-line tools installed. Run the program with pulumi up, and it will handle the creation of the necessary resources on Google Cloud and deploy the KrakenD Helm chart to your GKE cluster.