logging-observability
CommunityMaster Python logging and observability.
AuthorACubero
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of understanding application behavior in complex Python environments by providing robust tools for structured logging, distributed tracing, and metrics collection.
Core Features & Use Cases
- Structured Logging: Implement JSON-formatted logs for easier parsing and analysis.
- Distributed Tracing: Integrate OpenTelemetry for end-to-end request tracing across services.
- Metrics Collection: Expose application metrics using Prometheus for monitoring and alerting.
- Use Case: Debugging a production issue by analyzing detailed, context-rich logs and tracing the request flow that led to the error.
Quick Start
Configure structured JSON logging for your Python application using the provided example.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: logging-observability Download link: https://github.com/ACubero/IA_AGENT_esqueleto_proyectos_python_antigravity/archive/main.zip#logging-observability Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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