implement-operational-monitoring

What problem does it solve?

Improve system reliability by continuously monitoring memory usage, thread pool health, request throughput, and key business indicators to detect leaks, bottlenecks, and cascading failures early.

Core Features & Use Cases

• Memory metrics: heap usage, GC frequency, and leak detection to identify rising memory usage.
• Thread pool metrics: queue lengths, active/idle counts, and back‑pressure signals to prevent starvation.
• Throughput metrics: requests per second, error rates, and latency percentiles (p50, p95, p99) to quantify performance.
• Business metrics: domain-specific indicators (e.g., job queue depths, processing rates) for operational health.

Quick Start

Configure the monitoring to collect metrics asynchronously every 60 seconds and export them to your observability platform.