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.
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:
qdrant.openmetrics.health Returns CRITICAL if the Agent is unable to connect to the Qdrant OpenMetrics endpoint, otherwise returns OK. Statuses: ok, critical
qdrant.readyz.status Returns OK if /readyz endpoint returns a 200 response, otherwise returns CRITICAL. Statuses: ok, critical
qdrant.livez.status Returns OK if /livez endpoint returns a 200 response, otherwise returns CRITICAL. Statuses: ok, critical