🔧 Advanced Monitoring Techniques
Monitoring is essential for maintaining system health, but advanced usage unlocks deeper insights. Here are key strategies:
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
Advanced Dashboard Design
- Create multi-dimensional visualizations with Grafana
- Use heatmaps for real-time resource utilization
- Example: Monitor server load with
server_load_1min
Smart Alerting Rules
- Configure threshold-based alerts with Alertmanager
- Implement correlation rules for incident grouping
- Example: Trigger alerts when
error_rate > 5%
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.