Deploy the prometheus-process-exporter helm chart on Opensshift

Question

Pulumi · Accepted Answer

To deploy the Prometheus Process Exporter Helm chart on OpenShift using Pulumi, we will leverage the Pulumi Kubernetes provider, which allows us to manage Kubernetes resources including Helm charts. Specifically, we will use the `Chart` resource from the `kubernetes.helm.sh/v3` module to deploy a Helm chart on our OpenShift cluster.

Here is a step-by-step program in TypeScript to accomplish this goal:

1. First, make sure you have Pulumi installed and set up with the necessary credentials to access your OpenShift cluster.
2. Ensure you have Node.js and npm installed as Pulumi uses these for running TypeScript programs.
3. Install the Pulumi CLI and log in.
4. Create a new Pulumi Kubernetes project or use an existing one.
5. Install the required Pulumi Kubernetes package by running `npm install @pulumi/kubernetes`.

Now, let's write the Pulumi program:

```typescript
import * as k8s from "@pulumi/kubernetes";

// Create a new Kubernetes provider instance that uses the OpenShift context.
// You need to have your kubeconfig file already configured to communicate with your OpenShift cluster.
const openshiftProvider = new k8s.Provider("openshift", {
  kubeconfig: process.env.KUBECONFIG, // You can specify your kubeconfig file path directly if it's not in the default location
});

// Now we define the settings we want to override in the Helm chart.
// These would be specific to the `prometheus-process-exporter` chart, such as configuration values.
const processExporterValues = {
  // Customize your Prometheus Process Exporter values here, for example:
  // Some chart values could include resource limits, configuration parameters, etc.
  // resource: {
  //   limits: {
  //     cpu: "100m",
  //     memory: "128Mi",
  //   },
  //   requests: {
  //     cpu: "100m",
  //     memory: "128Mi",
  //   },
  // },
  // ...
  // Refer to the chart's values.yaml file or documentation for specific configurable options.
};

// Deploy the helm chart to OpenShift.
const processExporterChart = new k8s.helm.v3.Chart("process-exporter", {
  chart: "prometheus-process-exporter",
  // You can specify the chart version to deploy, such as `version: "1.0.0"`.
  // If the chart is in a custom helm repo, you can use the `repo` option to specify it.
  values: processExporterValues,
  // Specify the namespace if it's different than the default one.
  namespace: "monitoring", // Change this to the namespace where you want to deploy the Process Exporter
}, { provider: openshiftProvider });

// Export the endpoint of the Prometheus Process Exporter if it's exposed.
// If the service type is LoadBalancer, you can get the external IP or hostname like this:
export const processExporterEndpoint = processExporterChart.getResourceProperty("v1/Service", "process-exporter-service", "status").apply(status => status.loadBalancer.ingress[0].hostname || status.loadBalancer.ingress[0].ip);
```

This program does the following:
- It imports the necessary Pulumi Kubernetes package.
- It initializes the Kubernetes provider with credentials from your OpenShift environment.
- It sets up values to override default settings of the Prometheus Process Exporter Helm chart.
- It creates a new Helm chart resource corresponding to the Prometheus Process Exporter and deploys it in the specified namespace on your OpenShift cluster.
- It exports the endpoint of the service if available, so you can access the Prometheus Process Exporter.

Remember to replace the placeholder value in `processExporterValues` with the actual configuration you need, and set the right namespace and any other necessary parameters specific to the Helm chart.

After you populate the program with proper values and configurations, you can run the program using the Pulumi CLI:

```sh
pulumi up
```

This command will provision the resources as declared in your TypeScript program.

Finally, you can check the endpoint of the Prometheus Process Exporter service (if it has been exported) by running:

```sh
pulumi stack output processExporterEndpoint
```