Add Performance Monitoring
Setup comprehensive application performance monitoring with metrics, alerting, and observability
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Content
Add Performance Monitoring
Setup application performance monitoring: $ARGUMENTS
Instructions
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
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
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
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
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
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
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
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
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
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.