otel-observability

Distributed tracing illuminates cross-service call paths by instrumenting services with OpenTelemetry to produce traces. Configure your services to use the OTEL SDK, point collectors to the OTEL Collector endpoint, and export traces over gRPC to visualize request flows across API Gateway, Agents, Workers, and Control Plane components.

Yes. OpenTelemetry exports Prometheus-compatible metrics that integrate directly with Grafana for dashboards. Configure metric export endpoints, start the observability stack, and metrics will appear in Grafana alongside traces and logs for unified monitoring.

Structured logging with OpenTelemetry carries trace context through your logs, enabling correlation with distributed traces and metrics. This context propagation lets you follow a single request across services, making issue diagnosis faster when logs, traces, and metrics appear together in dashboards.

Instrument your AgentStack components with OpenTelemetry to gather telemetry data—traces, metrics, and logs—across API Gateway, Agents, Workers, and Control Plane. Batch processing with timeout and size controls, sampling, and graceful shutdown ensure efficient collection and export to monitoring dashboards.

Yes. OpenTelemetry includes context propagation to maintain trace correlation as requests cross service boundaries. This ensures traces remain linked across API Gateway, Agents, Workers, and Control Plane, enabling end-to-end visibility of distributed request flows.

OpenTelemetry closes observability gaps by enabling comprehensive traces, Prometheus metrics, and structured logs across AgentStack components. It provides resource-based service metadata, OTLP trace export over gRPC, batch processing controls, and sampling to support proactive monitoring and faster diagnosis.