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setup-monitoring-observability

Setup comprehensive monitoring and observability with metrics, logging, tracing, and alerting

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setup-monitoring-observability.md

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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:

  1. Metrics Collection - Application metrics, infrastructure monitoring, business KPIs, custom dashboards
  2. Logging Infrastructure - Centralized logging, structured logs, log aggregation, search capabilities
  3. Distributed Tracing - Request tracing, performance analysis, bottleneck identification, service dependencies
  4. Alerting System - Smart alerts, escalation policies, notification channels, incident management
  5. Performance Monitoring - APM integration, real-user monitoring, synthetic monitoring, SLA tracking
  6. 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.

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