Monitoring & Telemetry

These pages cover how to observe and measure a running Qdrant deployment using its built-in metrics endpoints and external monitoring tools.

Monitoring & Telemetry

Monitoring & Telemetry describes the Prometheus/OpenMetrics-compatible /metrics endpoint, the available metrics, and how to connect Qdrant to a Prometheus and Grafana monitoring stack.

Memory Usage

Memory Usage explains how to inspect a collection’s disk space, RAM, and OS page cache usage across the cluster, broken down by component. Use it to plan capacity and diagnose memory pressure.

Slow Request Log

Slow Request Log describes Qdrant’s built-in in-memory log of the slowest unique requests since startup. Use it to identify which queries are responsible for high latency.

Managed Cloud Prometheus Monitoring

Managed Cloud Prometheus Monitoring is a step-by-step tutorial for deploying Prometheus and Grafana in a Kubernetes cluster and configuring them to scrape metrics from a Qdrant Managed Cloud database.

Self-Hosted Prometheus Monitoring

Self-Hosted Prometheus Monitoring is a step-by-step tutorial for setting up Prometheus and Grafana monitoring for Qdrant running in a Hybrid Cloud or Private Cloud environment.

Monitoring Hybrid/Private Cloud with Datadog

Monitoring Hybrid/Private Cloud with Datadog is a step-by-step tutorial for setting up Datadog to monitor Qdrant running in a Hybrid Cloud or Private Cloud environment.