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structured-logging

Configure JSON logging with correlation IDs for Python services.

6|1|Updated Apr 7, 2026
Search Tags:#logging#python#observability#correlation-id#structlog#structured-logging#loguru
One-click install
npx skills add https://github.com/kmshihab7878/claude-code-setup --skill structured-logging-kmshihab7878
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: structured-logging
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/structured-logging
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill structured-logging-kmshihab7878

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Production logging for Python services that is structured, machine-parseable, and friendly to dashboards, replacing plain text logs with JSON output and correlation IDs.

Core Features & Use Cases

  • Setup: loguru + structlog for production-grade logging
  • Correlation IDs: propagate request IDs for request tracing
  • Observability: JSON logs suitable for Loki/ELK and centralized dashboards
  • Anti-Patterns: avoid logging sensitive data; enforce consistent formats

Quick Start

Call setup_logging(json_output=True, level='INFO') during application startup to enable production-grade, JSON-formatted logs with correlation IDs.

Frequently Asked Questions about structured-logging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement structured logging in Python microservices?▼

Implement structured logging in Python microservices by configuring loguru and structlog to emit JSON output. This replaces plain text logs with machine-parseable data suitable for centralized observability dashboards.

How do I propagate correlation IDs for request tracing in Python?▼

Propagate correlation IDs for request tracing by integrating middleware that generates and passes request IDs through your Python services. This enables consistent tracking across microservices architectures.

What is the best way to format Python logs as JSON for ELK or Loki?▼

The best way to format Python logs as JSON for ELK or Loki is using structlog and loguru. Call setup_logging(json_output=True, level='INFO') during application startup to generate dashboard-friendly, structured data.

Do I need structlog and loguru to enable JSON output in Python?▼

Yes, you need structlog and loguru to enable JSON output in Python. This Skill requires both libraries to set up production-grade logging and format logs into machine-parseable structured data.

What are common anti-patterns when setting up observability for Python services?▼

Common anti-patterns when setting up observability for Python services include logging sensitive data and using inconsistent log formats. Enforce consistent JSON structures to avoid breaking centralized dashboards and maintain security.

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