production-observability
De la autor
Use when adding service-wide Spring Boot 4 Actuator, Micrometer Observation and Tracing, OpenTelemetry or OTLP export, structured logging, health probes, dashboards, or alerts. Combine with ai-observability only for Spring AI-specific token, prompt, and model telemetry.
Instalare
npx skills add rrezartprebreza/spring-boot-skills --skill production-observability -a claude-code
Se instalează în .claude/skills/production-observability/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 85
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- ai-observabilityrrezartprebreza/spring-boot-skillsUse when adding Spring AI-specific model observations, token usage, latency, externally configured cost attribution, advisor telemetry, or protected prompt and completion logging. Use production-observability for general service metrics, health, logs, and OTLP setup.DevOps★ 325
- observability-and-instrumentationaddyosmani/agent-skillsInstruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.DevOps★ 110.1K
- observabilityvibeeval/vibecosystemStructured logging with Pino/Winston, OpenTelemetry tracing, metrics collection, Grafana dashboards, and alerting rules.DevOps★ 540
- observability-instrumentationBlackBeltTechnology/pi-agent-dashboardMake runtime behavior visible and diagnosable. Use on triggers like "add logging/metrics/tracing", "instrument this", "add alerting", "we can't tell what happened in prod", or when a feature needs evidence it works at runtime. Fills an instrumentation gap not covered by the project's existing skills. Not a ship or release workflow.DevOps★ 331
- python-observabilitywshobson/agentsPython observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.DevOps★ 41.6K
- monitoringericrisco/rsc-harnessUse when setting up uptime and health monitoring, alerts, or on-call basics for a service already in production, so you learn it is down before customers do — health and readiness probes, alerting on SLO error-budget burn rather than raw counts, curing alert fatigue, on-call rotation with escalation, and a status page. NOT instrumenting logs, metrics or traces, or wiring OpenTelemetry (that is `observability`).DevOps★ 255
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