Monitoring & Logging Guide
Monitoring types, logging levels, best practices, and alerts.
Monitoring Types
Infrastructure
Servers, CPU, memory, disk
Tools: Prometheus, Datadog
Application
Response time, errors, throughput
Tools: APM tools
Log Monitoring
Application logs analysis
Tools: ELK, Splunk
User Experience
Client-side metrics
Tools: Analytics, RUM
Business Metrics
KPIs, conversions
Tools: Custom dashboards
Logging Levels
ERROR
Errors requiring attention
Use: Production issues
WARN
Potential issues
Use: Watch for problems
INFO
General information
Use: Key events
DEBUG
Detailed debugging
Use: Development
TRACE
Very detailed
Use: Deep debugging
Logging Best Practices
Structured logging (JSON)
Include context (request ID)
Log meaningful events
Avoid logging sensitive data
Use appropriate levels
Centralize logs
Set retention policies
Monitor log volume
Alert Principles
Alert on actionable issues
Avoid alert fatigue
Set meaningful thresholds
Include runbooks
Route alerts properly
Track alert history
Review and tune regularly
Escalation procedures
Monitoring Checklist
1. Define key metrics. 2. Set up infrastructure monitoring. 3. Implement application monitoring. 4. Configure log aggregation. 5. Establish logging standards. 6. Create dashboards. 7. Define alert thresholds. 8. Write runbooks. 9. Test alert routing. 10. Review regularly. Monitoring = visibility into systems. Log what matters. Alert on actionable issues. No alert fatigue."