Qdrant is a high-performance vector search engine and vector database. With this integration, you can get real-time metrics to monitor your Qdrant deployment within Datadog including:
- The performance of REST and gRPC interfaces with metrics such as total requests, total failures, and time to serve to identify potential bottlenecks and mitigate them.
- Information about the readiness of the cluster, and deployment (total peers, pending operations, etc.) to gain insights into your Qdrant deployment.
For a full list of supported metrics, see the Metrics section below.
The Qdrant check is not included in the Datadog Agent package, so you need to install it.
For Agent v7.21+ / v6.21+, follow the instructions below to install the Qdrant check on your host. See Use Community Integrations to install with the Docker Agent or earlier versions of the Agent.
-
Run the following command to install the Agent integration:
datadog-agent integration install -t qdrant==1.0.0
-
Configure your integration similar to core integrations.
- Edit the
qdrant.d/conf.yaml
file in theconf.d/
folder at the root of your Agent's configuration directory to start collecting your Qdrant metrics.
Most importantly, set the openmetrics_endpoint
value to the /metrics
endpoint of your Qdrant instance.
instances:
## @param openmetrics_endpoint - string - optional
## The URL exposing metrics in the OpenMetrics format.
- openmetrics_endpoint: http://localhost:6333/metrics
If the Qdrant instance requires authentication, you can specify the token by configuring extra_headers
.
# @param extra_headers - mapping - optional
# Additional headers to send with every request.
extra_headers:
api-key: <QDRANT_API_KEY>
Run the Agent's status subcommand and look for qdrant
under the Checks section.
See metadata.csv for a list of metrics provided by this check.
The Qdrant check does not include any events.
See service_checks.json for a list of service checks provided by this integration.
Need help? Contact Qdrant support.