Implements comprehensive OpenTelemetry tracing and observability for Python-based backend services.
This skill automates the integration of OpenTelemetry into Python backend applications, specifically targeting frameworks like FastAPI and Flask. It provides standardized patterns for auto-instrumentation, manual span creation, and log correlation, enabling developers to monitor distributed systems, track request flows, and identify performance bottlenecks with precision. By following industry best practices for distributed tracing and context propagation, it ensures your Python services are fully observable within modern cloud-native environments.
Key Features
01Automatic FastAPI and Flask instrumentation patterns
020 GitHub stars
03Trace-to-log correlation for enhanced debugging
04Standardized OpenTelemetry resource and provider management
05OTLP exporter configuration for distributed tracing
06Manual span creation with custom metadata attributes
Use Cases
01Adding distributed tracing to a FastAPI microservice architecture
02Correlating application logs with specific trace IDs for root cause analysis
03Monitoring database query performance using manual span instrumentation
