🔧 Advanced Monitoring Techniques
Monitoring is essential for maintaining system health, but advanced usage unlocks deeper insights. Here are key strategies:

  1. Custom Metrics Collection

    • Use tools like Prometheus for granular data
    • Implement application-specific metrics via custom exporters
    • Example: Track database query latency with database_query_latency
  2. Advanced Dashboard Design

    • Create multi-dimensional visualizations with Grafana
    • Use heatmaps for real-time resource utilization
    • Example: Monitor server load with server_load_1min
  3. Smart Alerting Rules

    • Configure threshold-based alerts with Alertmanager
    • Implement correlation rules for incident grouping
    • Example: Trigger alerts when error_rate > 5%
  4. Integration with CI/CD Pipelines

    • Automate monitoring setup with ELK
    • Use webhooks for real-time incident notifications
    • Example: Integrate with GitHub Actions for auto-scaling alerts

📊 Visualization Best Practices

  • Use time-series graphs for trend analysis
  • Combine metrics with logs for contextual troubleshooting
  • Example: cpu_usage + log_error_count

🔗 Expand Your Knowledge
Check out our Monitoring Overview for foundational concepts.

Prometheus
Grafana
Alertmanager