Using kubernetes cloud.google.com with opentelemetry.io

Question

Pulumi · Accepted Answer

To implement an integration of Kubernetes on Google Cloud with OpenTelemetry, you would typically carry out the following steps:

1. **Set up a Kubernetes Cluster**: Use Google Kubernetes Engine (GKE) to provision and manage your Kubernetes clusters. You would typically start by creating a GKE cluster.
   
2. **Deploy OpenTelemetry Operator or Collector**: The OpenTelemetry Operator is a Kubernetes operator that makes it easy to deploy and manage OpenTelemetry Collector instances, which are responsible for gathering telemetry data from your Kubernetes workloads.

3. **Instrumentation**: Instrument your applications with OpenTelemetry SDKs to report traces, metrics, and logs. These SDKs are available for various programming languages and can be added to your application's codebase.

4. **Exporters**: Configure the OpenTelemetry Collector to export telemetry data to the backend of your choice, such as Jaeger, Prometheus, or any other OpenTelemetry-compatible backend.

In this example, we'll write a TypeScript program using Pulumi to provision a Google Kubernetes Engine (GKE) cluster, which is the first step towards running a Kubernetes cluster that can be integrated with OpenTelemetry.

```typescript
import * as gcp from "@pulumi/gcp";
import { Cluster } from "@pulumi/gcp/container";
import * as pulumi from "@pulumi/pulumi";

// Create a GKE cluster
const cluster = new gcp.container.Cluster("my-gke-cluster", {
    initialNodeCount: 2,
    nodeVersion: "latest",
    minMasterVersion: "latest",
    location: gcp.config.region,
    nodeConfig: {
        machineType: "e2-standard-2",
        oauthScopes: [
            "https://www.googleapis.com/auth/compute",
            "https://www.googleapis.com/auth/devstorage.read_only",
            "https://www.googleapis.com/auth/logging.write",
            "https://www.googleapis.com/auth/monitoring",
        ],
    },
});

// Export the Kubeconfig so that the Kubernetes provider can use it
export const kubeconfig = pulumi.all([cluster.name, cluster.endpoint, cluster.masterAuth]).apply(([name, endpoint, masterAuth]) => {
    const context = `${gcp.config.project}_${gcp.config.zone}_${name}`;
    return `apiVersion: v1
clusters:
- cluster:
    certificate-authority-data: ${masterAuth.clusterCaCertificate}
    server: https://${endpoint}
  name: ${context}
contexts:
- context:
    cluster: ${context}
    user: ${context}
  name: ${context}
current-context: ${context}
kind: Config
preferences: {}
users:
- name: ${context}
  user:
    auth-provider:
      config:
        cmd-args: config config-helper --format=json
        cmd-path: gcloud
        expiry-key: '{.credential.token_expiry}'
        token-key: '{.credential.access_token}'
      name: gcp
`;
});

// Use Kubernetes provider to deploy OpenTelemetry Operator/Collector.
// To do this, you first need to setup the Pulumi Kubernetes provider
// and then deploy OpenTelemetry using a Kubernetes manifest or Helm chart.
```

In this program, we are defining a GKE cluster with a basic configuration. The cluster has the following properties:
- `initialNodeCount`: Specifies the number of nodes to create in your cluster’s default node pool. We set it to 2 for this example.
- `nodeVersion` and `minMasterVersion`: Specifies the version of Kubernetes to use for the nodes and the master. We're using `latest` in this example, but you should specify an actual version for production workloads.
- `location`: Specifies the Google Cloud region or zone where the cluster should be located. We're obtaining this from the Pulumi configuration's `region` value.
- `nodeConfig`: Specifies the configuration of the nodes in the default node pool.

The `kubeconfig` is exported to allow you to interact with your cluster using `kubectl` or other Kubernetes tools.

The next step would be installing the OpenTelemetry Operator or Collector into your cluster. You would typically do that using a Kubernetes manifest, Helm chart, or any Kubernetes deployment method you prefer.

To complete the setup, you’d need to:
- Add the OpenTelemetry Collector to the cluster with the appropriate configuration for exporting data to your chosen backend.
- Ensure your application workloads are properly instrumented using OpenTelemetry SDKs.

Please note that while this program sets up the foundation, a full setup for OpenTelemetry would include more detailed steps that cover deploying the OpenTelemetry Collector and instrumenting your actual workloads, which can vary based on your specific requirements.