Implements structured JSON logging with SLF4J and MDC for Java applications.
npx skills add https://github.com/zuldare/apuntesIA --skill logging-patterns-zuldare
Please help me install this Agent Skill. Skill: logging-patterns Source: https://github.com/zuldare/apuntesIA/tree/main/skills/logging-patterns Command: npx skills add https://github.com/zuldare/apuntesIA --skill logging-patterns-zuldare
cat app.log | jq 'select(.requestId == "req-abc123")' and instantly see every step, duration, and error for that request. ## Quick Start Ask the AI to set up structured JSON logging with request tracing in your Spring Boot application using the logging patterns skill.High-intent search queries and answers about installing and using this skill.
Spring Boot 3.4+ supports structured logging natively via the logging.structured.format.console property set to logstash, ecs, or gelf in application.yml. For older versions, add the logstash-logback-encoder dependency and configure a LogstashEncoder appender in logback-spring.xml.
Use SLF4J's MDC to store a requestId at the start of each request, then include it in your encoder configuration with includeMdcKeyName. Every log entry in that thread automatically carries the requestId, letting you filter all logs for a single request.
Spring Boot 3.4+ native structured logging requires no extra dependencies and supports logstash, ecs, and gelf formats. The logstash-logback-encoder library is needed for Spring Boot versions below 3.4 or when you need advanced customization of JSON output.
JSON logs allow direct field access with tools like jq instead of regex parsing of text patterns. Fields like level, requestId, and duration_ms can be filtered precisely, and AI assistants parse structured fields faster with lower token usage.
Yes, use Spring profiles to switch formats. Define a json-logs profile with structured console format as default, and a human-logs profile with a pattern-based console layout, then activate with -Dspring.profiles.active=human-logs.
UnterrainerInformatikImplements structured JSON logging with SLF4J and MDC request tracing in Java applications.
CENKSSSAutomate validation of Grafana dashboards, alert rules, and APM traces.
dprice-devConfigure structured logging, tracing, and metrics for Spring Boot 4.x services.
weirdgmeInstrument distributed systems with OpenTelemetry and correlate logs, metrics, and traces.