python-observability
CommunityEnhance Python app visibility.
AuthorDrLuggels
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps developers instrument their Python applications to gain deep insights into their behavior in production, enabling faster debugging and performance optimization.
Core Features & Use Cases
- Structured Logging: Implement machine-readable JSON logs for easier querying and alerting.
- Metrics Collection: Integrate with Prometheus to track key performance indicators (KPIs) like latency, traffic, errors, and saturation.
- Distributed Tracing: Set up end-to-end request tracing across microservices using correlation IDs and OpenTelemetry.
- Use Case: When a critical API endpoint starts experiencing high error rates, use this Skill to analyze logs, trace the request flow, and pinpoint the exact service or operation causing the failure.
Quick Start
Configure structlog for JSON output with consistent fields by calling the configure_logging function.
Dependency Matrix
Required Modules
structlogprometheus_clientopentelemetry-apiopentelemetry-sdkopentelemetry-exporter-otlp
Components
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: python-observability Download link: https://github.com/DrLuggels/my_dhbw/archive/main.zip#python-observability Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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