Monitoring
153 skills in DevOps > Monitoring
service-mesh-observability
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
slo-implementation
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
distributed-tracing
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
prometheus-configuration
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
it-operations
Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence practices.
sentry-performance-tuning
Optimize Sentry performance monitoring configuration. Use when tuning sample rates, reducing overhead, or improving performance data quality. Trigger with phrases like "sentry performance optimize", "tune sentry tracing", "sentry overhead", "improve sentry performance".
prometheus-config-generator
Prometheus Config Generator - Auto-activating skill for DevOps Advanced. Triggers on: prometheus config generator, prometheus config generator Part of the DevOps Advanced skill category.
vercel-observability
Execute set up comprehensive observability for Vercel integrations with metrics, traces, and alerts. Use when implementing monitoring for Vercel operations, setting up dashboards, or configuring alerting for Vercel integration health. Trigger with phrases like "vercel monitoring", "vercel metrics", "vercel observability", "monitor vercel", "vercel alerts", "vercel tracing".
deploying-monitoring-stacks
Monitor use when deploying monitoring stacks including Prometheus, Grafana, and Datadog. Trigger with phrases like "deploy monitoring stack", "setup prometheus", "configure grafana", or "install datadog agent". Generates production-ready configurations with metric collection, visualization dashboards, and alerting rules.
grafana-dashboard-creator
Grafana Dashboard Creator - Auto-activating skill for DevOps Advanced. Triggers on: grafana dashboard creator, grafana dashboard creator Part of the DevOps Advanced skill category.
sentry-performance-tracing
Execute set up performance monitoring and distributed tracing with Sentry. Use when implementing performance tracking, tracing requests, or monitoring application performance. Trigger with phrases like "sentry performance", "sentry tracing", "sentry APM", "monitor performance sentry".
supabase-observability
Execute set up comprehensive observability for Supabase integrations with metrics, traces, and alerts. Use when implementing monitoring for Supabase operations, setting up dashboards, or configuring alerting for Supabase integration health. Trigger with phrases like "supabase monitoring", "supabase metrics", "supabase observability", "monitor supabase", "supabase alerts", "supabase tracing".
setting-up-log-aggregation
Execute use when setting up log aggregation solutions using ELK, Loki, or Splunk. Trigger with phrases like "setup log aggregation", "deploy ELK stack", "configure Loki", or "install Splunk". Generates production-ready configurations for data ingestion, processing, storage, and visualization with proper security and scalability.
phoenix-observability
Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.
web-app
Enterprise DevOps with Kubernetes 1.31, Docker 27.x, Terraform 1.9, GitHub Actions, monitoring with Prometheus/Grafana, and cloud-native architectures
moai-domain-devops
Enterprise DevOps with Kubernetes 1.31, Docker 27.x, Terraform 1.9, GitHub Actions, monitoring with Prometheus/Grafana, and cloud-native architectures
moai-domain-monitoring
Observability with Prometheus, Grafana, logging, and tracing
moai-observability-advanced
Advanced observability patterns with OpenTelemetry, distributed tracing, eBPF monitoring, SLO/SLI implementation, and production strategies. Use when implementing observability, monitoring, or distributed tracing.
observability-design
Monitoring strategies, distributed tracing, SLI/SLO design, and alerting patterns. Use when designing monitoring infrastructure, defining service level objectives, implementing distributed tracing, creating alert rules, building dashboards, or establishing incident response procedures. Covers the three pillars of observability and production readiness.
shift-right-testing
Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when implementing production observability or progressive delivery.