Setup Monitoring & Observability

Setup comprehensive monitoring and observability infrastructure: $ARGUMENTS

Current Application State

• Application type: @package.json or @requirements.txt (detect framework and services)
• Existing monitoring: !find . -name "prometheus" -o -name "grafana" -o -name "jaeger" | wc -l
• Infrastructure: @docker-compose.yml or @kubernetes/ or cloud platform detection
• Logging setup: !grep -r "winston\|logging\|console.log" src/ 2>/dev/null | wc -l

Task

Implement production-ready monitoring and observability with comprehensive insights:

Monitoring Type: Use $ARGUMENTS to focus on metrics, logging, distributed tracing, or complete observability stack Observability Stack:

• Metrics Collection - Application metrics, infrastructure monitoring, business KPIs, custom dashboards
• Logging Infrastructure - Centralized logging, structured logs, log aggregation, search capabilities
• Distributed Tracing - Request tracing, performance analysis, bottleneck identification, service dependencies
• Alerting System - Smart alerts, escalation policies, notification channels, incident management
• Performance Monitoring - APM integration, real-user monitoring, synthetic monitoring, SLA tracking
• Analytics & Reports - Usage analytics, performance trends, capacity planning, business insights

Platform Integration: Prometheus, Grafana, ELK Stack, Jaeger, DataDog, New Relic, cloud-native solutions. Production Features: High availability, data retention policies, security controls, cost optimization. Output: Complete observability platform with real-time monitoring, intelligent alerting, and comprehensive analytics dashboards.