structured-error-logger
logger is a structured error logger that integrates well with github.com/rohanthewiz/serr. logger.LogErr will write out all the context stored in the SErr.
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logger is a structured error logger that integrates well with github.com/rohanthewiz/serr. logger.LogErr will write out all the context stored in the SErr.
Design and implement observability stack with metrics, logs, and traces. Use for Prometheus, Grafana, Loki, Tempo, OpenTelemetry, alerting, and SLO/SLI design. Keywords: observability, monitoring, tracing, Prom...
Manage Logstash pipelines deployed in OpenShift using ConfigMaps. Use for pipeline configuration, deployment, troubleshooting, and maintenance of Logstash in containerized OpenShift environments.
Fetch, analyze, and resolve Sentry errors with CLI integration; use when reviewing production errors, resolving issues, analyzing error patterns, or managing Sentry configuration
Game server monitoring with metrics, alerting, and performance tracking for production reliability
Master Kubernetes observability, monitoring with Prometheus, logging, metrics, and distributed tracing. Learn to implement comprehensive monitoring strategies.
Logging, metrics, and distributed tracing. OpenTelemetry, Prometheus, Grafana, and production debugging.
Monitor and analyze narrative API logs from Google Cloud Run. Use when (1) Investigating Cloud Run API errors or failures, (2) Analyzing API usage costs and optimizing spend, (3) Measuring scenario generation p...
Logging, tracing, metrics fundamentals
PostgreSQL monitoring - metrics, alerting, observability
DevRel metrics, analytics dashboards, and program reporting
Triggered by start-gap-finder.
Triggered by start-gap-finder.
Triggered by start-gap-finder.
Create a new configuration profile
Track performance benchmarks and detect regressions exceeding 10% threshold. Analyze historical trends and alert on degradation. Calculate regression score (0.00-1.00) for performance health. Integrate with Ser...
Instrument code with tracing spans and structured logging. Use for observability and performance analysis.
Expose Prometheus metrics with counters, gauges, and histograms. Use for production monitoring and alerting.
Monitor message queues, job processing, and detect backpressure
Plan backend observability using RED + USE + 4 Golden Signals + JTBD
Instrument HTTP/gRPC endpoints with distributed tracing and RED metrics
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating pr...
Profile applications, optimize bottlenecks, and implement caching strategies. Handles load testing, CDN setup, and query optimization. Use PROACTIVELY for performance issues or optimization tasks.
Debug production issues, analyze logs, and fix deployment failures. Masters monitoring tools, incident response, and root cause analysis. Use PROACTIVELY for production debugging or system outages.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.