Using kubernetes opentelemetry.io with apiregistration

Question

Pulumi · Accepted Answer

To integrate OpenTelemetry with Kubernetes using Pulumi, you would typically deploy a collector agent to your Kubernetes cluster that can receive traces, metrics, and logs and export them to the backend of your choice (like Jaeger, Prometheus, etc.). This involves creating a Kubernetes deployment for the OpenTelemetry collector and configuring it appropriately.

Given that you're interested in `opentelemetry.io` and its use with `apiregistration` in Kubernetes, it's important to clarify that `opentelemetry.io` is a set of APIs, SDKs, and tools to create and manage telemetry data like traces, metrics, and logs. On the other hand, `apiregistration` in Kubernetes relates to the registration of API services which is a way to extend Kubernetes API with custom resources.

`opentelemetry.io` doesn’t have a direct relation to `apiregistration` unless you are referring to the process of creating custom API services or resources that export or manage telemetry data. Nonetheless, you can set up OpenTelemetry in Kubernetes to monitor and collect telemetry data about the functionality of your API services.

Here’s how you could deploy an OpenTelemetry collector to a Kubernetes cluster using Pulumi with TypeScript:

### Detailed Explanation

1. **Deployment of OpenTelemetry Collector**: This is a Kubernetes `Deployment` that runs the OpenTelemetry collector. The collector is responsible for receiving telemetry data and exporting it to a backend or other processors.

2. **Service and Endpoints for Collector**: A Kubernetes `Service` and optionally `Endpoints` resource is created to expose the collector service to other pods in the cluster or external services, enabling them to send telemetry data to the collector.

3. **Service Account, ClusterRole, and ClusterRoleBinding**: These are Kubernetes resources that provide the necessary permissions to the OpenTelemetry collector to access certain Kubernetes resources and APIs that it might need to retrieve metrics and metadata.

4. **Configuring the Collector**: OpenTelemetry Collector configuration is defined within a `ConfigMap`. This includes setting up receivers, processors, exporters, and the service pipeline.

Let's write the Pulumi program.

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

// Create a Kubernetes Namespace for the OpenTelemetry Collector
const ns = new kubernetes.core.v1.Namespace("opentelemetry-ns", {
    metadata: { name: "opentelemetry" },
});

// OpenTelemetry Collector ConfigMap
const otelConfigMap = new kubernetes.core.v1.ConfigMap("otel-collector-cm", {
    metadata: {
        namespace: ns.metadata.name,
        name: "otel-collector-conf",
    },
    data: {
        "config.yaml": ` // Place your OpenTelemetry collector configuration here
          receivers:
            otlp:
              protocols:
                grpc:
                http:
          processors:
            batch:
          exporters:
            logging:
              loglevel: debug
          service:
            pipelines:
              traces:
                receivers: [otlp]
                processors: [batch]
                exporters: [logging]
              metrics:
                receivers: [otlp]
                processors: [batch]
                exporters: [logging]
        `,
    },
});

// OpenTelemetry Collector Deployment
const otelDeployment = new kubernetes.apps.v1.Deployment("otel-collector-deployment", {
    metadata: {
        namespace: ns.metadata.name,
        name: "otel-collector",
    },
    spec: {
        selector: { matchLabels: { app: "otel-collector" } },
        replicas: 1,
        template: {
            metadata: { labels: { app: "otel-collector" } },
            spec: {
                containers: [{
                    name: "otel-collector",
                    image: "otel/opentelemetry-collector:latest", // Use the appropriate collector image
                    command: ["opentelemetry-collector"],
                    args: ["--config=/conf/config.yaml"],
                    volumeMounts: [{
                        name: "otel-collector-config-vol",
                        mountPath: "/conf",
                    }],
                }],
                volumes: [{
                    name: "otel-collector-config-vol",
                    configMap: {
                        name: otelConfigMap.metadata.name,
                    },
                }],
            },
        },
    },
});

// OpenTelemetry Collector Service
const otelService = new kubernetes.core.v1.Service("otel-collector-svc", {
    metadata: {
        namespace: ns.metadata.name,
        name: "otel-collector",
    },
    spec: {
        selector: { app: "otel-collector" },
        ports: [
            { protocol: "TCP", port: 4317, targetPort: 4317, name: "otlp-grpc" },
            { protocol: "TCP", port: 4318, targetPort: 4318, name: "otlp-http" },
        ],
    },
});

// Output the Service name and IP for reference
export const collectorServiceName = otelService.metadata.name;
export const collectorServiceIP = otelService.spec.clusterIP;
```

### Deployment Steps:

1. **Write the Configuration**: Substitute the OpenTelemetry collector configuration in the `config.yaml` placeholder within the config map. This will specify how the collector should process and export telemetry data.
   
2. **Apply the Configuration**: Use `Pulumi up` to create or update your infrastructure with the OpenTelemetry collector, config map, deployment, and service.

3. **Validate the Deployment**: Ensure the collector is running and services are accessible as intended. You may want to send test telemetry data to validate the setup.

Remember to build on this program with any specific custom resources or configurations appropriate to your environment and back-end systems. This program creates the necessary Kubernetes resources to get you started with OpenTelemetry in a Kubernetes environment.

For more information on using the Kubernetes provider with Pulumi, visit the [Kubernetes Provider documentation](https://www.pulumi.com/docs/intro/cloud-providers/kubernetes/). For understanding OpenTelemetry collector configurations, refer to the [OpenTelemetry Collector documentation](https://opentelemetry.io/docs/collector/).