Instrument Python applications with OpenTelemetry to collect traces, metrics, and logs.
npx skills add https://github.com/CybLow/pypaginate --skill perf-apm
Please help me install this Agent Skill. Skill: perf-apm Source: https://github.com/CybLow/pypaginate/tree/main/.opencode/skills/perf-apm Command: npx skills add https://github.com/CybLow/pypaginate --skill perf-apm
Observability for Python applications is often manual, fragmented, and hard to scale. This Skill provides a structured OpenTelemetry-based approach to automatically instrument code, collect traces, metrics, and logs, and unify observability across services.
Install the required OpenTelemetry packages and apply the tracing setup to your FastAPI app to begin collecting traces and metrics.
High-intent search queries and answers about installing and using this skill.
To set up OpenTelemetry tracing for FastAPI, install the required OpenTelemetry packages and apply the tracing setup to your app. This auto-instruments asynchronous endpoints to collect distributed traces and metrics.
Yes, you can auto-instrument SQLAlchemy database calls with OpenTelemetry. This Skill provides structured auto-instrumentation to collect traces and metrics across database calls, enabling unified observability.
The best way to collect metrics and logs across Python microservices is using a structured OpenTelemetry-based approach. It unifies distributed tracing, custom metrics, and structured logging for end-to-end observability.
Yes, OpenTelemetry works with asynchronous FastAPI endpoints. This Skill provides auto-instrumentation specifically applicable to asynchronous endpoints, database calls, and HTTP clients to emit distributed traces.
You need OpenTelemetry because Python application observability is often manual and fragmented. OpenTelemetry provides a structured approach to auto-instrument code, collect traces, and unify metrics and logs across services.
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