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/setup-monitoring-observability

Setup monitoring and observability tools

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Command definition

setup-monitoring-observability.md

Setup Monitoring and Observability

Setup monitoring and observability tools

Instructions

1. **Observability Strategy Planning**

  • Analyze application architecture and monitoring requirements
  • Define key performance indicators (KPIs) and service level objectives (SLOs)
  • Plan monitoring stack architecture and data flow
  • Assess compliance and retention requirements
  • Define alerting strategies and escalation procedures

2. **Metrics Collection and Monitoring**

  • Set up application metrics collection (Prometheus, DataDog, New Relic)
  • Configure infrastructure monitoring for servers, containers, and cloud resources
  • Set up business metrics and user experience monitoring
  • Configure custom metrics for application-specific monitoring
  • Set up metrics aggregation and time-series storage

3. **Logging Infrastructure**

  • Set up centralized logging system (ELK Stack, Fluentd, Splunk)
  • Configure structured logging with consistent formats
  • Set up log aggregation and forwarding from all services
  • Configure log retention policies and archival strategies
  • Set up log parsing, enrichment, and indexing

4. **Distributed Tracing**

  • Set up distributed tracing system (Jaeger, Zipkin, AWS X-Ray)
  • Configure trace instrumentation in application code
  • Set up trace sampling and collection strategies
  • Configure trace correlation across service boundaries
  • Set up trace analysis and performance optimization

5. **Application Performance Monitoring (APM)**

  • Configure APM tools for application performance insights
  • Set up error tracking and exception monitoring
  • Configure database query monitoring and optimization
  • Set up real user monitoring (RUM) and synthetic monitoring
  • Configure performance profiling and bottleneck identification

6. **Infrastructure and System Monitoring**

  • Set up server and container monitoring (CPU, memory, disk, network)
  • Configure cloud service monitoring and cost tracking
  • Set up database monitoring and performance analysis
  • Configure network monitoring and security scanning
  • Set up capacity planning and resource optimization

7. **Alerting and Notification System**

  • Configure intelligent alerting with proper thresholds
  • Set up alert routing and escalation procedures
  • Configure notification channels (email, Slack, PagerDuty)
  • Set up alert correlation and noise reduction
  • Configure on-call scheduling and incident management

8. **Dashboards and Visualization**

  • Create comprehensive monitoring dashboards (Grafana, Kibana)
  • Set up real-time system health dashboards
  • Configure business metrics and KPI visualization
  • Create role-specific dashboards for different teams
  • Set up mobile-friendly monitoring interfaces

9. **Security Monitoring and Compliance**

  • Set up security event monitoring and SIEM integration
  • Configure compliance monitoring and audit trails
  • Set up vulnerability scanning and security alerting
  • Configure access monitoring and user behavior analytics
  • Set up data privacy and protection monitoring

10. **Incident Response and Automation**

  • Set up automated incident detection and response
  • Configure runbook automation and self-healing systems
  • Set up incident management and communication workflows
  • Configure post-incident analysis and improvement processes
  • Create monitoring maintenance and optimization procedures
  • Train team on monitoring tools and incident response procedures
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A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.

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