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


    To achieve the deployment of a RabbitMQ Helm chart on Google Kubernetes Engine (GKE), we will follow a series of steps using Pulumi with TypeScript.

    Firstly, we need to create a GKE cluster where our RabbitMQ service will run. For that, we'll use the gcp.container.Cluster resource. This resource provisions a Kubernetes cluster in Google Cloud.

    Once the GKE cluster is ready, we will use the package kubernetes.helm.v3.Chart from Pulumi's Kubernetes provider to deploy the RabbitMQ Helm chart. Helm charts are a convenient way to package and deploy applications on Kubernetes. RabbitMQ Helm chart is a pre-configured set of resources that will install RabbitMQ, a widely-used open-source message broker.

    Here's a Pulumi program in TypeScript that accomplishes the deployment:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a GKE cluster const cluster = new gcp.container.Cluster("rabbitmq-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { machineType: "n1-standard-1", oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring", ], }, }); // Export the Cluster name export const clusterName = cluster.name; // Export the kubeconfig to access the cluster export const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth.clusterCaCertificate} server: https://${endpoint} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; }); // Initialize a new k8s provider. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy RabbitMQ using the Helm chart. const rabbitmqChart = new k8s.helm.v3.Chart("rabbitmq", { chart: "rabbitmq", version: "8.11.4", fetchOpts:{ repo: "https://charts.bitnami.com/bitnami", }, }, { provider: k8sProvider }); // Export the RabbitMQ service endpoint export const rabbitmqServiceUrl = rabbitmqChart.getResourceProperty("v1/Service", "rabbitmq", "status").apply(status => status.loadBalancer.ingress[0].ip);

    Let's understand each part of the program:

    • We begin by importing the necessary packages for GCP and Kubernetes.

    • We then create a Cluster resource, specifying parameters like the number of nodes, machine type, and OAuth scopes necessary for the cluster nodes to interact with the Google Cloud services.

    • We export the cluster name and generate a kubeconfig so that we can interact with the cluster via kubectl or any Kubernetes client library.

    • We initialize a Pulumi Kubernetes provider with the kubeconfig from the GKE cluster. This provider is used to deploy and manage Kubernetes resources.

    • Using the Chart resource within the k8s.helm.v3 namespace, we deploy RabbitMQ. We specify the chart version to ensure repeatability and the Helm repository that contains the chart.

    • Lastly, we export the IP address of the RabbitMQ service once it becomes available. This URL can be used to connect to RabbitMQ from outside the cluster.

    Remember to replace the version: "8.11.4" with the version you want to deploy. You can find the latest version or alternative versions in the Bitnami RabbitMQ Helm chart repository.

    Run this program with pulumi up, and it will create a new GKE cluster, setup authentication, and deploy RabbitMQ. After the deployment, you can use the exported rabbitmqServiceUrl to access RabbitMQ.