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commands/performance-monitoring.md

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+---
+allowed-tools: Read, Bash, Grep, Glob
+argument-hint: [monitoring-type] | --apm | --rum | --custom
+description: Setup comprehensive application performance monitoring with metrics, alerting, and observability
+
+---
+
+# Add Performance Monitoring
+
+Setup application performance monitoring: **$ARGUMENTS**
+
+## Instructions
+
+1. **Performance Monitoring Strategy**
+   - Define key performance indicators (KPIs) and service level objectives (SLOs)
+   - Identify critical user journeys and performance bottlenecks
+   - Plan monitoring architecture and data collection strategy
+   - Assess existing monitoring infrastructure and integration points
+   - Define alerting thresholds and escalation procedures
+
+2. **Application Performance Monitoring (APM)**
+   - Set up comprehensive APM solution (New Relic, Datadog, AppDynamics)
+   - Configure distributed tracing for request lifecycle visibility
+   - Implement custom metrics and performance tracking
+   - Set up transaction monitoring and error tracking
+   - Configure performance profiling and diagnostics
+
+3. **Real User Monitoring (RUM)**
+   - Implement client-side performance tracking and web vitals monitoring
+   - Set up user experience metrics collection (LCP, FID, CLS, TTFB)
+   - Configure custom performance metrics for user interactions
+   - Monitor page load performance and resource loading
+   - Track user journey performance across different devices
+
+4. **Server Performance Monitoring**
+   - Monitor system metrics (CPU, memory, disk, network)
+   - Set up process and application-level monitoring
+   - Configure event loop lag and garbage collection monitoring
+   - Implement custom server performance metrics
+   - Monitor resource utilization and capacity planning
+
+5. **Database Performance Monitoring**
+   - Track database query performance and slow query identification
+   - Monitor database connection pool utilization
+   - Set up database performance metrics and alerting
+   - Implement query execution plan analysis
+   - Monitor database resource usage and optimization opportunities
+
+6. **Error Tracking and Monitoring**
+   - Implement comprehensive error tracking (Sentry, Bugsnag, Rollbar)
+   - Configure error categorization and impact analysis
+   - Set up error alerting and notification systems
+   - Track error trends and resolution metrics
+   - Implement error context and debugging information
+
+7. **Custom Metrics and Dashboards**
+   - Implement business metrics tracking (Prometheus, StatsD)
+   - Create performance dashboards and visualizations
+   - Configure custom alerting rules and thresholds
+   - Set up performance trend analysis and reporting
+   - Implement performance regression detection
+
+8. **Alerting and Notification System**
+   - Configure intelligent alerting based on performance thresholds
+   - Set up multi-channel notifications (email, Slack, PagerDuty)
+   - Implement alert escalation and on-call procedures
+   - Configure alert fatigue prevention and noise reduction
+   - Set up performance incident management workflows
+
+9. **Performance Testing Integration**
+   - Integrate monitoring with load testing and performance testing
+   - Set up continuous performance testing and monitoring
+   - Configure performance baseline tracking and comparison
+   - Implement performance test result analysis and reporting
+   - Monitor performance under different load scenarios
+
+10. **Performance Optimization Recommendations**
+    - Generate actionable performance insights and recommendations
+    - Implement automated performance analysis and reporting
+    - Set up performance optimization tracking and measurement
+    - Configure performance improvement validation
+    - Create performance optimization prioritization frameworks
+
+Focus on monitoring strategies that provide actionable insights for performance optimization. Ensure monitoring overhead is minimal and doesn't impact application performance.