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perf-apm

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End-to-end observability for Python apps.

Software Engineering#fastapi#metrics#observability#tracing#instrumentation#opentelemetry#sqlalchemy
AuthorCybLow
Version1.0.0
Installs0

System Documentation

What problem does it solve?

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.

Core Features & Use Cases

  • OpenTelemetry setup and auto-instrumentation for FastAPI, SQLAlchemy, HTTPX, and Redis
  • Custom metrics, distributed tracing, and structured logging to monitor performance and reliability
  • End-to-end observability across microservices, including logs correlation and health checks

Quick Start

Install the required OpenTelemetry packages and apply the tracing setup to your FastAPI app to begin collecting traces and metrics.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: perf-apm
Download link: https://github.com/CybLow/pypaginate/archive/main.zip#perf-apm

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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