Qdrant Monitoring

From the author

Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.

— the description by anush008

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The qdrant-monitoring skill provides a structured approach to maintaining the health and performance of Qdrant vector database deployments. It serves as a central reference for configuring monitoring stacks, including Prometheus and Grafana, and offers diagnostic pathways for common production challenges such as memory growth, slow request latency, and optimizer bottlenecks.

What it does

Explains how to configure Prometheus scraping and health probes for Qdrant.
Identifies key performance metrics to track for cluster health.
Provides guidance on setting up log centralization and alerting.
Offers diagnostic steps for troubleshooting stuck optimizers.
Helps analyze memory consumption patterns and request latency issues.

When to use it

When setting up initial observability for a new Qdrant deployment.
When investigating production performance degradation.
When you need to determine if a Qdrant instance is healthy.
When troubleshooting specific issues like high memory usage or slow queries.

Advantages

Centralizes best practices for Qdrant-specific observability.
Reduces downtime by enabling proactive metric tracking.
Provides actionable diagnostic paths for complex production issues.

Usage examples

“How do I monitor my Qdrant instance?”: The agent provides a guide on setting up Prometheus scraping and configuring health probes to track cluster performance.
“Why is my Qdrant memory usage growing?”: The agent directs you to specific metrics and diagnostic steps to identify potential memory leaks or inefficient resource usage.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/github/qdrant-monitoring/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip qdrant-monitoring.zip -d .agents/skills

Documentation by anush008

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

Monitoring Setup

Prometheus scraping, health probes, Hybrid Cloud specifics, alerting, and log centralization. Monitoring Setup

Debugging with Metrics

Optimizer stuck, memory growth, slow requests. Using metrics to diagnose active production issues. Debugging with Metrics

Files

ATTRIBUTION.mdAdded by AutoGineer867 B
LICENSELicence file added by AutoGineer1.0 KiB
SKILL.md1.1 KiB

Requirements and compatibility

Written for: GitHub Copilot

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Declares allowed tools

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

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