#metrics

Show HN: Metrics, Monitoring, and Alerting for Agents

Contribute to chirrop/chirrop-mcp development by creating an account on GitHub.

Show HN · EN

Monitoring vLLM in Production: Metrics, PromQL, Alerts, and Runbooks

Published: 2026-01-28 Updated: 2026-06-18 Version scope: This guide targets vLLM 0.23.x and its default V1 engine. Metric names and semantics change between releases, so verify the /metrics output of the exact version and serving configuration you run before copying queries or alerts into production. A vLLM server can pass Kubernetes health checks while users experience slow or unstable responses. Requests may wait in the scheduler, long prompts may make prefill expensive, or token streaming may become uneven. This guide focuses on the metrics needed to diagnose latency, scheduler backlog, KV-

Andrey Krisanov · EN

Presentation: Beyond the Harness: Canvas for AI Agents

Nimisha Asthagiri shares how applying proven product engineering and architecture principles creates a bounded canvas for AI agents. She explains how this model provides agents with bounded autonomy, continuous drift detection, and decision records to scale software development resiliently. By Nimisha Asthagiri

InfoQ · EN