INFRA-002: Performance Monitoring and Alerting

[raviyelisetty]

Description:

Implement comprehensive performance monitoring with proactive alerting capabilities.

Monitoring Components:

Application Performance Monitoring (APM)

• Request tracing across services
• Database query performance tracking
• Memory and CPU utilization monitoring
• Error rate and response time metrics

Infrastructure Monitoring

• Server resource utilization
• Network connectivity and latency
• Database performance metrics
• Storage capacity and IOPS

Business Metrics Monitoring

• User engagement and conversion rates
• Feature usage and adoption
• Revenue and business KPI tracking
• Custom business rule violations

Alerting Configuration

yaml
alerts:
  - name: high_response_time
    condition: avg(response_time) > 2000ms over 5min
    severity: warning
    channels: [slack, email]
  
  - name: error_rate_spike
    condition: rate(errors) > 5% over 2min
    severity: critical
    channels: [slack, pagerduty]
  
  - name: database_connectivity
    condition: database_connections < 1
    severity: critical
    channels: [slack, pagerduty, sms]

Implementation Tools:

• Prometheus for metrics collection
• Grafana for visualization
• AlertManager for notification routing
• Jaeger for distributed tracing

Acceptance Criteria:

• Comprehensive metric collection
• Real-time alerting system
• Performance dashboard visualization
• Distributed tracing implementation
• Custom business metric tracking
• Alert notification integration
• Historical performance analysis

Estimated Effort: 16-20 hours