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 ## Observability Integrations
 
-| Tool                                  | Description                                                                                          |
-| ------------------------------------- | ---------------------------------------------------------------------------------------------------- |
-| [OpenLIT](./openlit/)                 | Platform for OpenTelemetry-native Observability & Evals for LLMs and Vector Databases.               |
-| [OpenLLMetry](./openllmetry/)         | Set of OpenTelemetry extensions to add Observability for your LLM application.                       |
+| Tool                          | Description                                                                            |
+| ----------------------------- | -------------------------------------------------------------------------------------- |
+| [OpenLIT](./openlit/)         | Platform for OpenTelemetry-native Observability & Evals for LLMs and Vector Databases. |
+| [OpenLLMetry](./openllmetry/) | Set of OpenTelemetry extensions to add Observability for your LLM application.         |
+| [Datadog](./datadog/)         | Cloud-based monitoring and analytics platform.                                         |
diff --git a/qdrant-landing/content/documentation/observability/datadog.md b/qdrant-landing/content/documentation/observability/datadog.md
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+---
+title: Datadog
+---
+
+![Datadog Cover](/documentation/observability/datadog/datadog-cover.jpg)
+
+[Datadog](https://www.datadoghq.com/) is a cloud-based monitoring and analytics platform that offers real-time monitoring of servers, databases, and numerous other tools and services. It provides visibility into the performance of applications and enables businesses to detect issues before they affect users.
+
+You can install the [Qdrant integration](https://docs.datadoghq.com/integrations/qdrant/) to 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.
+
+### Usage
+
+- With the [Datadog Agent installed](https://docs.datadoghq.com/agent/basic_agent_usage), run the following command to add the Qdrant integration:
+
+```shell
+datadog-agent integration install -t qdrant==1.0.0
+```
+
+- Edit the `qdrant.d/conf.yaml` file in the `conf.d/` folder at the root of your [Agent's configuration directory](https://docs.datadoghq.com/agent/guide/agent-configuration-files/#agent-configuration-directory) to start collecting your [Qdrant metrics](/documentation/guides/monitoring/).
+
+Most importantly, set the `openmetrics_endpoint` value to the `/metrics` endpoint of your Qdrant instance.
+
+```yaml
+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`](https://github.com/DataDog/integrations-core/blob/26f9ae7660f042c43f5d771f0c937ff805cf442c/openmetrics/datadog_checks/openmetrics/data/conf.yaml.example#L553C1-L558C35).
+
+```yaml
+# @param extra_headers - mapping - optional
+# Additional headers to send with every request.
+extra_headers:
+   api-key: <QDRANT_API_KEY>
+```
+
+- Restart the Datadog agent.
+
+- You can now head over to the Datadog dashboard to view the [metrics](https://docs.datadoghq.com/integrations/qdrant/#data-collected) emitted by the Qdrant check.
+
+## Further Reading
+
+- [Getting started with Datadog](https://docs.datadoghq.com/getting_started/)
+- [Qdrant integration source](https://github.com/DataDog/integrations-extras/tree/master/qdrant)
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