Using kubernetes datadoghq.com with ecr.mobb.redhat.com

Question

Pulumi · Accepted Answer

It appears that you want to integrate Datadog with Kubernetes and use Red Hat's container registry for your container images. Since Red Hat's container registry is not directly related to Pulumi, I will focus on how you can deploy a Kubernetes cluster, use AWS Elastic Container Registry (ECR) as an example for the container registry which can be seamlessly integrated with Pulumi, and then demonstrate how to integrate Datadog monitoring into your Kubernetes cluster.

### Explanation

1. **Kubernetes Cluster**: We'll create an Amazon EKS (Elastic Kubernetes Service) cluster to serve as our Kubernetes platform. EKS is a managed Kubernetes service that makes it easier to deploy, manage, and scale containerized applications with Kubernetes.

2. **ECR (Elastic Container Registry)**: Red Hat's container registry (referenced as `ecr.mobb.redhat.com`) might be specific to your organization or a custom setup. However, Pulumi allows you to manage various container registries such as AWS ECR. We'll use AWS ECR for illustration purposes; it is a Docker container registry that enables developers to store, manage, and deploy Docker container images.

3. **Datadog Integration**: To integrate Datadog with Kubernetes, you typically need to deploy the Datadog Agent as a DaemonSet on your cluster. The agent collects metrics, logs, and traces from your cluster and forwards them to Datadog for monitoring and analysis.

Below is a TypeScript program that uses Pulumi to set up these resources:

```typescript
import * as eks from '@pulumi/eks';
import * as aws from '@pulumi/aws';
import * as k8s from '@pulumi/kubernetes';
import * as pulumi from '@pulumi/pulumi';

// Create an EKS cluster.
const cluster = new eks.Cluster('my-cluster', {
    instanceType: 't2.medium',
    desiredCapacity: 2,
    minSize: 1,
    maxSize: 3,
});

// Export the cluster's kubeconfig.
export const kubeconfig = cluster.kubeconfig;

// Create an AWS ECR repository to store your Docker images.
const repo = new aws.ecr.Repository('my-repo', {
    imageScanningConfiguration: {
        scanOnPush: true,
    },
    imageTagMutability: 'MUTABLE',
});

// Export the repository URL.
export const repositoryUrl = repo.repositoryUrl;

// Setup Datadog integration for Kubernetes monitoring.
// Use the Datadog Helm chart available at https://github.com/DataDog/helm-charts
const datadogChart = new k8s.helm.v3.Chart('datadog', {
    chart: 'datadog',
    version: '2.9.11', // Use the correct Datadog Helm chart version
    namespace: 'datadog',
    fetchOpts: {
        repo: 'https://helm.datadoghq.com',
    },
    values: {
        datadog: {
            apiKey: process.env.DATADOG_API_KEY, // Set this in your environment or use Pulumi config
            appKey: process.env.DATADOG_APP_KEY,  // Set this in your environment or use Pulumi config
            // You can add more configuration based on your Datadog setup.
        },
        kubeStateMetrics: {
            enabled: true,
        },
    },
}, { provider: cluster.provider });

// Export the name of the Datadog Helm release
export const datadogReleaseName = datadogChart.releaseName;
```

### Description

1. We imported Pulumi packages for handling AWS resources (`@pulumi/aws`), EKS clusters (`@pulumi/eks`), and Kubernetes resources (`@pulumi/kubernetes`).
   
2. We create an `eks.Cluster`, configure it with desired settings, including instance types, and scaling options.
   
3. We export the `kubeconfig`, which is needed to interact with the cluster using `kubectl` or any Kubernetes client library.
   
4. We define an AWS ECR repository for storing container images. The `scanOnPush` feature is enabled, which allows you to check for vulnerabilities upon image push.
   
5. We export the `repositoryUrl`, which will be used to push Docker images to the ECR.
   
6. We deploy the Datadog Agent to the EKS cluster using the Helm chart, specifying the necessary Datadog API and application keys. This allows you to start monitoring your Kubernetes cluster with Datadog.
   
7. Finally, we export the release name of the Datadog Helm chart to confirm that Datadog has been deployed to your cluster.

Please adjust the values for the Datadog API key, app key, and chart version according to your Datadog account and the version you want to use. This is a simplified demonstration, and additional configuration may be required based on your specific monitoring needs and deployment strategies.