My API Is Up, but Slow. Is It My Code or the Server?
A hypothetical slow API on a small VPS shows how application and host metrics can point to CPU contention from another process.
Practical notes, release announcements, and engineering deep-dives from the projects built at PVR Labs.
A hypothetical slow API on a small VPS shows how application and host metrics can point to CPU contention from another process.
Try practical FastAPI monitoring locally, then run the same small StatLite and SQLite setup alongside an application on a VPS.
A small Express helper exposes /statlite/metrics so StatLite can chart traffic, errors, latency, and Node.js memory without a Prometheus and Grafana stack.
The official extracted layout cut median Spring startup 23.3% and first-request latency 34.1% in six paired runs. Settled RSS and swap did not show a material winner.
The same Star Pulse workload, JDK 25, and 80 MiB heap. Quarkus started larger, then had the smaller resident set, while RSS hid swap and the box later ran out of headroom.
A successful test run produced 1,476 lines. The agent needed roughly one.
The agent already explored the repo and understands the task. Hand off that session state instead of reconstructing it somewhere else. Or import a local Codex or Claude Code session directly.
A JDK 25 Alpine follow-up completed the hour on a nominal 256 MiB VPS, but high swap use and a long scheduling delay kept the result firmly in stretch-test territory.
A Spring Boot 3.5 app with JPA, Tomcat, and Actuator ran on 512 MB plus a small swapfile. The monitor stayed around 12 MiB.
Review complete Git changes in VS Code, then use focused repository context when an AI reviewer needs more evidence.
How a small Bash wrapper reduced successful Maven output by more than 99.7% while preserving useful diagnostics for coding agents.
Use AI coding assistants without granting them repository access: map locally, disclose only reviewed context, and confirm every proposed write.
Turn Spring Boot Actuator data into a focused dashboard for a few applications on a VPS, without operating a full Prometheus and Grafana stack.
Autonomous coding agents consume tokens rapidly during reviews by rescanning projects and pulling broad context. Learn how to map locally, extract precise snippets, and review efficiently in any web chat.