1. Deploy the stackdriver-prometheus helm chart on Opensshift


    To deploy the Stackdriver Prometheus Helm chart on an OpenShift cluster using Pulumi, you would use the Pulumi Kubernetes provider, specifically the helm.sh/v3.Chart resource, which allows you to deploy Helm charts on a Kubernetes cluster.

    Before you begin, ensure that you have:

    • An existing OpenShift cluster.
    • kubectl configured to connect to your OpenShift cluster.
    • Helm chart details for Stackdriver Prometheus, including the chart name and repository.
    • The required permissions to deploy resources to the cluster.

    Below is a detailed Pulumi TypeScript program that demonstrates how to use the helm.sh/v3.Chart resource to deploy the Stackdriver Prometheus Helm chart on OpenShift.

    Firstly, let's go over the resources that will be used:

    • kubernetes.helm.v3.Chart: This is a Pulumi resource that allows you to deploy Helm charts within a Kubernetes cluster. The chart can be fetched from a remote Helm repository or from a local path.

    • kubernetes.Provider: This resource is used to configure the Kubernetes provider to communicate with the OpenShift cluster.

    Now, let's look at the program that achieves this deployment:

    import * as kubernetes from '@pulumi/kubernetes'; // Ensure you configure the Kubernetes provider to connect to your OpenShift cluster. // The provider uses the configuration from your local kubeconfig file by default. const provider = new kubernetes.Provider('openshift-provider', { // Assuming kubectl is set up to connect to the OpenShift cluster // If needed, specify kubeconfig or other settings here to override defaults }); // Define the Stackdriver Prometheus Helm chart details. const stackdriverPrometheusChart = new kubernetes.helm.v3.Chart('stackdriver-prometheus', { // Replace with the actual chart name and repository for Stackdriver Prometheus chart: 'stackdriver-prometheus', version: 'x.y.z', // use the specific chart version repositoryOpts: { repo: 'https://helm-repo-url/', // replace with the Helm repository URL that hosts the chart }, // If namespace is omitted, the chart will be installed in the default namespace namespace: 'monitoring', // specify the namespace if you want to install in a specific one // Include any custom values required for the Stackdriver Prometheus Helm chart values: { // ... Specify custom values here }, }, { provider }); // Ensure we use the OpenShift provider // Export the endpoint to access Stackdriver Prometheus. export const stackdriverPrometheusEndpoint = stackdriverPrometheusChart.getResourceProperty('v1/Service', 'stackdriver-prometheus', 'status').apply(s => s.loadBalancer.ingress[0].hostname);

    Here's what each part of the code does:

    • We start by importing the Pulumi Kubernetes package.

    • The Kubernetes provider, openshift-provider, is set up, which will use your local Kubeconfig to authenticate with OpenShift.

    • We declare the Stackdriver Prometheus Helm chart resource, stackdriver-prometheus, providing it with the necessary chart name, version, repository URL, and optional custom values. Note that you need to replace 'stackdriver-prometheus', 'x.y.z', and 'https://helm-repo-url/' with the correct chart name, version number, and Helm repository URL, respectively.

    • Optionally, we're specifying a namespace for the Helm release. If you don't specify a namespace, Pulumi will install the Helm chart in the default namespace.

    • We set the provider option for the Chart resource, ensuring that it uses the OpenShift provider.

    • An endpoint from which you can access Stackdriver Prometheus Service is exported. It assumes the Service type is LoadBalancer; if it's different, such as a ClusterIP with an Ingress or Route, there will need to be different logic to obtain the endpoint.

    Please replace the placeholder information with actual values corresponding to the Stackdriver Prometheus Helm chart and your OpenShift cluster configuration. If you're not familiar with Helm and its values, you'll typically find these in a chart's values.yaml file or in the chart's documentation.

    After you create this Pulumi program in a file, e.g., index.ts, you can run it using the Pulumi CLI with the following commands:

    1. pulumi stack init [stack-name] to create a new stack for your project.
    2. pulumi up to preview and deploy the changes.

    Please ensure you review the preview carefully and confirm the deployment by selecting yes when prompted.