Creating Grafana Dashboards

Resources from Video Description

▶️Prometheus Setup with Docker Compose ▶️PromQL Tutorial

Key Takeaways

RED and USE Methodologies: Combine RED methodology (Rate, Errors, Duration) for user experience metrics and USE methodology (Utilization, Saturation, Errors) for system-level monitoring. Create comprehensive dashboards covering both user-facing service performance and infrastructure health.

Dynamic Variables and Stat Panels: Use label_values() to create dynamic variables instead of hardcoded values, and build stat panels for quick indicators including process uptime (now() - process_start_time_seconds), total requests with increase(), error rate calculations, average request duration, and requests in progress.

Advanced Visualizations: Create time series panels for API throughput showing requests per second with rate(), pie charts for request status code distribution using sum by (status), and histogram quantile panels displaying latency percentiles (P50, P90, P95, P99) with histogram_quantile() function.

System Metrics Monitoring: Monitor resource utilization with CPU usage (process_cpu_usage), memory metrics (resident, virtual, and usage bytes), open file descriptors ratios, and garbage collection rates using rate() on collected objects across different generations for application health insights.