mode: deployment

image:
  repository: ghcr.io/open-telemetry/opentelemetry-collector-releases/opentelemetry-collector-k8s

extraEnvs:
  - name: HONEYCOMB_API_KEY
    valueFrom:
      secretKeyRef:
        name: honeycomb
        key: api-key

# We only want one of these collectors - any more and we'd produce duplicate data
replicaCount: 1

presets:
  # enables the k8sclusterreceiver and adds it to the metrics pipelines
  clusterMetrics:
    enabled: true
  # enables the k8sobjectsreceiver to collect events only and adds it to the logs pipelines
  kubernetesEvents:
    enabled: true

config:
  receivers:
    k8s_cluster:
      collection_interval: 30s
      metrics:
        # Disable replicaset metrics by default. These are typically high volume, low signal metrics.
        # If volume is not a concern, then the following blocks can be removed.
        k8s.replicaset.desired:
          enabled: false
        k8s.replicaset.available:
          enabled: false 
    jaeger: null
    zipkin: null
  processors:
    transform/events:
      error_mode: ignore
      log_statements:
        - context: log
          statements:
            # adds a new watch-type attribute from the body if it exists
            - set(attributes["watch-type"], body["type"]) where IsMap(body) and body["type"] != nil

            # create new attributes from the body if the body is an object
            - merge_maps(attributes, body, "upsert") where IsMap(body) and body["object"] == nil
            - merge_maps(attributes, body["object"], "upsert") where IsMap(body) and body["object"] != nil

            # Transform the attributes so that the log events use the k8s.* semantic conventions
            - merge_maps(attributes, attributes[ "metadata"], "upsert") where IsMap(attributes[ "metadata"])
            - set(attributes["k8s.pod.name"], attributes["regarding"]["name"]) where attributes["regarding"]["kind"] == "Pod"
            - set(attributes["k8s.node.name"], attributes["regarding"]["name"]) where attributes["regarding"]["kind"] == "Node"
            - set(attributes["k8s.job.name"], attributes["regarding"]["name"]) where attributes["regarding"]["kind"] == "Job"
            - set(attributes["k8s.cronjob.name"], attributes["regarding"]["name"]) where attributes["regarding"]["kind"] == "CronJob"
            - set(attributes["k8s.namespace.name"], attributes["regarding"]["namespace"]) where attributes["regarding"]["kind"] == "Pod" or attributes["regarding"]["kind"] == "Job" or attributes["regarding"]["kind"] == "CronJob"

            # Transform the type attribtes into OpenTelemetry Severity types.
            - set(severity_text, attributes["type"]) where attributes["type"] == "Normal" or attributes["type"] == "Warning"
            - set(severity_number, SEVERITY_NUMBER_INFO) where attributes["type"] == "Normal"
            - set(severity_number, SEVERITY_NUMBER_WARN) where attributes["type"] == "Warning"

  exporters:
    otlp/k8s-metrics:
      endpoint: "api.honeycomb.io:443" # US instance
      #endpoint: "api.eu1.honeycomb.io:443" # EU instance
      headers:
        "x-honeycomb-team": "${env:HONEYCOMB_API_KEY}"
        "x-honeycomb-dataset": "k8s-metrics"
    otlp/k8s-events:
      endpoint: "api.honeycomb.io:443" # US instance
      #endpoint: "api.eu1.honeycomb.io:443" # EU instance
      headers:
        "x-honeycomb-team": "${env:HONEYCOMB_API_KEY}"
        "x-honeycomb-dataset": "k8s-events"

  service:
    pipelines:
      traces: null
      metrics:
        receivers: [k8s_cluster]
        exporters: [ otlp/k8s-metrics ]
      logs:
        receivers: [k8sobjects]
        processors: [ memory_limiter, transform/events, batch ]
        exporters: [ otlp/k8s-events ]
        
ports:
  jaeger-compact:
    enabled: false
  jaeger-thrift:
    enabled: false
  jaeger-grpc:
    enabled: false
  zipkin:
    enabled: false