prometheus

Prometheus monitoring tracks HTTP, RPC, and cron service metrics by defining specific metric types and labels. It exposes a unified set of metrics to identify performance bottlenecks and reliability issues across vmkteam services.

You use ready-to-run PromQL patterns to measure service latency and error rates by querying collected HTTP and RPC metrics. These queries help detect latency regressions and throughput drops in your production services.

Yes, you can track cron job metrics alongside HTTP and RPC data. The observability setup collects and exposes metrics for vmkteam/appkit, vmkteam/zenrpc, and vmkteam/cron, enabling unified visibility across all service types.

Yes, this Prometheus observability setup works directly with vmkteam/appkit and vmkteam/zenrpc. It applies predefined metric types and PromQL queries to these frameworks to compute RPS, latency, error rates, and resource usage.

To get started building dashboards and alerts, you query Prometheus to retrieve service metrics and feed them into your visualization tools. A built-in guide and quick start provide ready-to-run queries for monitoring reliability.

The best way to identify performance bottlenecks is by exposing a unified set of Prometheus metrics and applying PromQL queries. This allows operators to detect latency regressions, throughput drops, and resource usage issues quickly.