Erste Schritte mit Open Telemetrie auf Kubernetes

kubectl create namespace open-telemetry
kubectl create secret generic open-telemetry-collector \
    --namespace open-telemetry \
    --from-literal=API_KEY='<SERVICE_TOKEN>'

helm repo add open-telemetry https://open-telemetry.github.io/opentelemetry-helm-charts

# Set the API key from the secret as an env var:
extraEnvsFrom:
  - secretRef:
      name: open-telemetry-collector
mode: deployment
image:
  # Use the collector container image that has all components important for k8s. In case of missing components the ghcr.io/open-telemetry/opentelemetry-collector-releases/opentelemetry-collector-contrib image can be used which
  # has all components in the contrib repository: https://github.com/open-telemetry/opentelemetry-collector-contrib
  repository: "ghcr.io/open-telemetry/opentelemetry-collector-releases/opentelemetry-collector-k8s"
ports:
  metrics:
    enabled: true
presets:
  kubernetesAttributes:
    enabled: true
    extractAllPodLabels: true
# This is the config file for the collector:
config:
  receivers:
    otlp:
      protocols:
        grpc:
          endpoint: 0.0.0.0:4317
        http:
          endpoint: 0.0.0.0:4318
    # Scrape the collectors own metrics
    prometheus:
      config:
        scrape_configs:
        - job_name: opentelemetry-collector
          scrape_interval: 10s
          static_configs:
          - targets:
            - ${env:MY_POD_IP}:8888
  extensions:
    # Use the API key from the env for authentication
    bearertokenauth:
      scheme: SUSEObservability
      token: "${env:API_KEY}"
  exporters:
    nop: {}
    otlp/suse-observability:
      auth:
        authenticator: bearertokenauth
      # Put in your own otlp endpoint, for example otlp-suse-observability.my.company.com:443
      endpoint: <otlp-suse-observability-endpoint:port>
      compression: snappy
  processors:
    memory_limiter:
      check_interval: 5s
      limit_percentage: 80
      spike_limit_percentage: 25
    batch: {}
    resource:
      attributes:
      - key: k8s.cluster.name
        action: upsert
        # Insert your own cluster name
        value: <your-cluster-name>
      - key: service.instance.id
        from_attribute: k8s.pod.uid
        action: insert
        # Use the k8s namespace also as the open telemetry namespace
      - key: service.namespace
        from_attribute: k8s.namespace.name
        action: insert
  connectors:
    # Generate metrics for spans
    spanmetrics:
      metrics_expiration: 5m
      namespace: otel_span
  service:
    extensions: [ health_check,  bearertokenauth ]
    pipelines:
      traces:
        receivers: [otlp]
        processors: [memory_limiter, resource, batch]
        exporters: [debug, spanmetrics, otlp/suse-observability]
      metrics:
        receivers: [otlp, spanmetrics, prometheus]
        processors: [memory_limiter, resource, batch]
        exporters: [debug, otlp/suse-observability]
      logs:
        receivers: [otlp]
        processors: []
        exporters: [nop]
    telemetry:
      metrics:
        address: ${env:MY_POD_IP}:8888

helm upgrade --install opentelemetry-collector open-telemetry/opentelemetry-collector \
  --values otel-collector.yaml \
  --namespace open-telemetry