What problem does it solve?
This skill helps you add or repair OpenTelemetry (OTel) instrumentation in a Python codebase so traces, metrics, logs, and resource attributes reliably show up and correlate correctly in Tsuga.
Core Features & Use Cases
- Python OTel setup, audit, and fixes for SDK initialization and instrumentation ordering in common frameworks (Flask, Django, FastAPI, Celery, async workers).
- Cross-signal correctness checks for traces vs metrics vs logs, including common pitfalls that cause missing or non-correlated telemetry.
- Framework- and transport-aware guidance for exporter configuration, context propagation, and resource attribute requirements across environments.
- Operational safety gate that requires user confirmation before changing source files.
Quick Start
Ask the AI to audit your Python service and update the OTel Python SDK and instrumentation so that traces, metrics, and logs appear in Tsuga with correct service identity.