# qdrant-monitoring

> Guides monitoring and observability setup for Qdrant vector search deployments, including Prometheus scraping, health checks, and metric-based debugging of production issues.

- Skill: `github/qdrant-monitoring` (Agent Skill)
- Install (CLI): `npx skillmds add github/qdrant-monitoring`
- Raw SKILL.md: https://api.skillmd.com/api/skills/github/qdrant-monitoring/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra, Coding & Dev Tools, Data & Analytics, Monitoring & Observability, SQL & Databases
- Tags: Grafana, Health Checks, Metrics, Observability, Prometheus, Qdrant, Vector Search
- Author: GitHub (Microsoft) (https://skillmd.com/u/github), verified publisher
- Updated: 2026-07-06
- Page: https://skillmd.com/skills/github/qdrant-monitoring

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# Qdrant Monitoring

Qdrant monitoring allows tracking performance and health of your deployment, and identifying issues before they become outages. First determine whether you need to set up monitoring or diagnose an active issue.

- Understand available metrics [Monitoring docs](https://search.qdrant.tech/md/documentation/operations/monitoring/)


## Monitoring Setup

Prometheus scraping, health probes, Hybrid Cloud specifics, alerting, and log centralization. [Monitoring Setup](setup/SKILL.md)


## Debugging with Metrics

Optimizer stuck, memory growth, slow requests. Using metrics to diagnose active production issues. [Debugging with Metrics](debugging/SKILL.md)