Using kubernetes datadoghq.com with hydra.ory.sh

Question

Pulumi · Accepted Answer

To create a Kubernetes infrastructure that integrates `datadoghq.com` for monitoring and `hydra.ory.sh` for OAuth2 and OpenID Connect services, you'll need to set up a Kubernetes cluster, deploy and configure Datadog agents, and deploy ORY Hydra.

Below, we will create a Pulumi program that sets up a minimal Kubernetes cluster (using AWS EKS for the example), then describe the steps to integrate Datadog and ORY Hydra.

### Setting Up the Kubernetes Cluster with AWS EKS

First, we'll write a TypeScript program to define and create a Kubernetes cluster on AWS EKS. We choose AWS EKS due to its managed nature, making it easier for novices to get started with Kubernetes without worrying about the underlying infrastructure.

To use this program, you need to have the Pulumi CLI installed and AWS CLI configured with the necessary access. You also need to install the required Pulumi packages using npm or yarn.

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

// Create an EKS cluster.
const clusterName = "datadog-hydra-cluster";
const cluster = new eks.Cluster(clusterName, {
    instanceType: "t2.medium",
    desiredCapacity: 2,
    minSize: 1,
    maxSize: 3,
    storageClasses: "gp2",
    deployDashboard: false,
});

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

### Integrating Datadog for Monitoring

After creating the Kubernetes cluster, you can set up Datadog monitoring. This involves deploying the Datadog agent as a DaemonSet within your Kubernetes cluster. You need to obtain a Datadog API key from your Datadog account to proceed.

### Deploying ORY Hydra

To deploy ORY Hydra for OAuth2 and OpenID infrastructure, you will typically use ORY's official Helm chart. This procedure involves adding the ORY Helm chart repository and deploying the chart with the required parameters.

Here's an extended version of the Pulumi program that includes placeholders for deploying Datadog and ORY Hydra via Helm charts (after the cluster creation):

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

// Assume that we have the Datadog API key stored in AWS Secrets Manager or AWS SSM Parameter Store.
// Fetching it so that it remains a secret.
const datadogApiKey = new aws.ssm.Parameter("datadog-api-key", {
    type: "SecureString",
}, { additionalSecretOutputs: ["value"] }).value;

// Dummy Datadog Helm Chart (replace with the real chart and values)
const datadogChart = new helm.v3.Chart("datadog", {
    chart: "datadog",
    version: "2.4.11",
    fetchOpts: {
        repo: "https://helm.datadoghq.com",
    },
    values: {
        apiKey: datadogApiKey,
        // Other configuration values go here.
    },
}, { provider: cluster.provider });

// Dummy ORY Hydra Helm Chart (replace with the real chart and values)
const oryHydraChart = new helm.v3.Chart("ory-hydra", {
    chart: "hydra",
    version: "0.0.1", // Specify the version you wish to use
    fetchOpts: {
        repo: "https://k8s.ory.sh/helm/charts",
    },
    values: {
        // Define required ORY Hydra values like database connection settings here
    },
}, { provider: cluster.provider });

// Make sure to replace `"datadog"` and `"hydra"` with the actual Helm chart names and configure the `values` correctly with needed options.
```

This program instantiates an EKS cluster and uses Helm to deploy both Datadog and ORY Hydra. The actual Helm chart values will need to be configured based on your specific requirements for resource limits, node selectors, environment variables, persistent volume claims, and any other needed settings.

To run this program:

1. Save the code in a file called `index.ts`.
2. Open a terminal and navigate to the directory containing the file.
3. Run `pulumi up` to preview and deploy the changes.

Keep in mind that you need to replace placeholder values with actual chart versions and configuration details. You'll also need to handle the configuration and secrets securely according to best practices, which can involve secret management tools such as Pulumi's secret handling or AWS Secrets Manager.