Odigos Instrumentation Flow:

  1. User selects a workload (Deployment, StatefulSet, or DaemonSet) to auto instrument by setting the odigos-instrumentation label on the workload or the namespace.
  2. Odigos instrumentor controller watches for the odigos-instrumentation label on the workload or the namespace and create an instrumentationconfig.odigos.io object per workload.
  3. Odigos odiglet controller watches for the instrumentationconfig.odigos.io object and runs a runtime inspection on running pods to detect the programming language per container. The result is written into the instrumentedapplication.odigos.io object per workload.
  4. Odigos instrumentor controller watches for the instrumentedapplication.odigos.io object and adds a resource request into each pod spec of all relevant containers in the workload manifest. These resource requests are called “instrumentation devices”.
  5. Kubernetes detects the change in the manifest and rollout restart the pods with the new instrumentation devices.
  6. New pods are scheduled and started. Odiglet resolves the resource request by mounting the auto instrumentation code and relevant environment variables into the container.
  7. The auto instrumentation code starts the OpenTelemetry SDK and sends telemetry data to the odigos pipeline.
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