diff --git a/config/_default/menus/main.en.yaml b/config/_default/menus/main.en.yaml
index ee649fc3cb43b..a018f5d3792d1 100644
--- a/config/_default/menus/main.en.yaml
+++ b/config/_default/menus/main.en.yaml
@@ -840,31 +840,36 @@ menu:
       identifier: otel_kafka_metrics
       parent: otel_integrations
       weight: 809
+    - name: Kubernetes Metrics
+      url: opentelemetry/integrations/kubernetes_metrics/
+      identifier: otel_kubernetes_metrics
+      parent: otel_integrations
+      weight: 810
     - name: MySQL Metrics
       url: opentelemetry/integrations/mysql_metrics/
       identifier: otel_mysql_metrics
       parent: otel_integrations
-      weight: 810
+      weight: 811
     - name: NGINX Metrics
       url: opentelemetry/integrations/nginx_metrics/
       identifier: otel_nginx_metrics
       parent: otel_integrations
-      weight: 811
+      weight: 812
     - name: Podman Metrics
       url: opentelemetry/integrations/podman_metrics/
       identifier: otel_podman_metrics
       parent: otel_integrations
-      weight: 812
+      weight: 813
     - name: Runtime Metrics
       url: opentelemetry/integrations/runtime_metrics/
       identifier: otel_runtime_metrics
       parent: otel_integrations
-      weight: 813
+      weight: 814
     - name: Trace Metrics
       url: opentelemetry/integrations/trace_metrics/
       identifier: otel_trace_metrics
       parent: otel_integrations
-      weight: 814
+      weight: 815
     - name: Troubleshooting
       url: opentelemetry/troubleshooting/
       identifier: otel_troubleshooting
diff --git a/content/en/opentelemetry/integrations/_index.md b/content/en/opentelemetry/integrations/_index.md
index 05cd83c8fc8fb..2472cb6570ec9 100644
--- a/content/en/opentelemetry/integrations/_index.md
+++ b/content/en/opentelemetry/integrations/_index.md
@@ -48,6 +48,7 @@ Gain insights into your containerized environments and host systems:
 
 - [Docker Metrics][5] - Monitor Docker container performance
 - [Host Metrics][6] - Track system metrics such as CPU, disk, and memory usage
+- [Kubernetes Metrics][18] - Monitor Kubernetes cluster health and performance
 - [Podman Metrics][16] - Monitor Podman container performance
 
 ### Web servers and proxies
@@ -93,3 +94,5 @@ Monitor big data processing frameworks:
 [15]: https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/main/receiver/dockerstatsreceiver/metadata.yaml
 [16]: /opentelemetry/integrations/podman_metrics/
 [17]: /opentelemetry/integrations/datadog_extension/
+[18]: /opentelemetry/integrations/kubernetes_metrics/
+
diff --git a/content/en/opentelemetry/integrations/kubernetes_metrics.md b/content/en/opentelemetry/integrations/kubernetes_metrics.md
new file mode 100644
index 0000000000000..e19fb665b7581
--- /dev/null
+++ b/content/en/opentelemetry/integrations/kubernetes_metrics.md
@@ -0,0 +1,207 @@
+---
+title: Kubernetes Metrics
+further_reading:
+- link: "/opentelemetry/setup/"
+  tag: "Documentation"
+  text: "Send OpenTelemetry Data to Datadog"
+- link: "https://docs.datadoghq.com/getting_started/tagging/unified_service_tagging/"
+  tag: "Documentation"
+  text: "Unified Service Tagging"
+- link: "https://github.com/DataDog/opentelemetry-examples/tree/main/guides/kubernetes"
+  tag: "GitHub"
+  text: "Example Collector Configurations"
+---
+
+<div class="alert alert-info">The OpenTelemetry Kubernetes integration is in Preview. To request access, contact your Datadog account team.</div>
+
+## Overview
+
+Collect Kubernetes metrics using the OpenTelemetry Collector to gain comprehensive insights into your cluster's health and performance. This integration uses a combination of OpenTelemetry receivers to gather data, which populates the [Kubernetes - Overview][1] dashboard.
+
+{{< img src="/opentelemetry/collector_exporter/kubernetes_metrics.png" alt="The 'Kubernetes - Overview' dashboard, showing metrics for containers, including status and resource usage of your cluster and its containers." style="width:100%;" >}}
+
+This integration requires the [`kube-state-metrics`][8] service and uses a two-collector architecture to gather data.
+
+The `kube-state-metrics` service is a required component that generates detailed metrics about the state of Kubernetes objects like deployments, nodes, and pods. This architecture uses two separate OpenTelemetry Collectors:
+- A Cluster Collector, deployed as a Kubernetes Deployment, gathers cluster-wide metrics (for example, the total number of deployments).
+- A Node Collector, deployed as a Kubernetes DaemonSet, runs on each node to collect node-specific metrics (for example, CPU and memory usage per node).
+
+This approach ensures that cluster-level metrics are collected only once, preventing data duplication, while node-level metrics are gathered from every node in the cluster.
+
+## Setup
+
+To collect Kubernetes metrics with OpenTelemetry, you need to deploy `kube-state-metrics` and configure both of the above OpenTelemetry Collectors in your cluster.
+
+### Prerequisites
+
+* **Helm**: The setup uses Helm to deploy resources. To install Helm, see the [official Helm documentation][2].
+* **Collector Image**: This guide uses the `otel/opentelemetry-collector-contrib:0.130.0` image or newer.
+
+### Installation
+
+#### 1. Install kube-state-metrics
+
+Run the following commands to add the `prometheus-community` Helm repository and install `kube-state-metrics`:
+```sh
+helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
+helm repo update
+helm install kube-state-metrics prometheus-community/kube-state-metrics
+```
+
+#### 2. Create a Datadog API Key Secret
+
+Create a Kubernetes secret to store your Datadog API key securely.
+```sh
+export DD_API_KEY="<YOUR_DATADOG_API_KEY>"
+kubectl create secret generic datadog-secret --from-literal api-key=$DD_API_KEY
+```
+
+#### 3. Install the OpenTelemetry Collectors
+
+1. Add the OpenTelemetry Helm chart repository:
+   ```sh
+   helm repo add open-telemetry https://open-telemetry.github.io/opentelemetry-helm-charts
+   helm repo update
+   ```
+
+1. Download the configuration files for the two Collectors:
+   - [cluster-collector.yaml][3]
+   - [daemonset-collector.yaml][4]
+
+1. Set your cluster name as an environment variable and use Helm to deploy both the Cluster and Node Collectors. Make sure the paths to the YAML files are correct.
+
+   ```bash
+   # Set your cluster name
+   export K8S_CLUSTER_NAME="<YOUR_CLUSTER_NAME>"
+   
+   # Install the Node Collector (DaemonSet)
+   helm install otel-daemon-collector open-telemetry/opentelemetry-collector \
+     -f daemonset-collector.yaml \
+     --set image.repository=otel/opentelemetry-collector-contrib \
+     --set image.tag=0.130.0 \
+     --set-string "config.processors.resource.attributes[0].key=k8s.cluster.name" \
+     --set-string "config.processors.resource.attributes[0].value=${K8S_CLUSTER_NAME}"
+   
+   # Install the Cluster Collector (Deployment)
+   helm install otel-cluster-collector open-telemetry/opentelemetry-collector \
+     -f cluster-collector.yaml \
+     --set image.repository=otel/opentelemetry-collector-contrib \
+     --set image.tag=0.130.0 \
+     --set-string "config.processors.resource.attributes[0].key=k8s.cluster.name" \
+     --set-string "config.processors.resource.attributes[0].value=${K8S_CLUSTER_NAME}"
+   ```
+
+## Metric metadata configuration
+
+Some metrics require manual metadata updates in Datadog to ensure they are interpreted and displayed correctly.
+
+To edit a metric's metadata:
+1. Go to **[Metrics > Summary][6]**.
+1. Select the metric you want to edit.
+1. Click **Edit** in the side panel.
+1. Edit the metadata as needed.
+1. Click **Save**.
+
+Repeat this process for each of the metrics listed in the following table:
+
+| Metric Name              | Metric Type | Unit                                     |
+|--------------------------|-------------|------------------------------------------|
+| `k8s.pod.cpu.usage`      | `Gauge`     | `core`                                   |
+| `k8s.pod.network.io`     | `Gauge`     | `byte_in_binary_bytes_family per second` |
+| `k8s.pod.network.errors` | `Gauge`     | `byte_in_binary_bytes_family per second` |
+  
+## Correlating traces with infrastructure metrics
+
+To correlate your APM traces with Kubernetes infrastructure metrics, Datadog uses [unified service tagging][7]. This requires setting three standard resource attributes on telemetry from both your application and your infrastructure. Datadog automatically maps these OpenTelemetry attributes to the standard Datadog tags (`env`, `service`, and `version`) used for correlation.
+
+The required OpenTelemetry attributes are:
+
+- `service.name`
+- `service.version`
+- `deployment.environment.name` (formerly `deployment.environment`)
+
+This ensures that telemetry from your application is consistently tagged, allowing Datadog to link traces, metrics, and logs to the same service.
+
+### Application configuration
+
+Set the following environment variables in your application's container specification to tag outgoing telemetry:
+
+```yaml
+spec:
+  containers:
+    - name: my-container
+      env:
+        - name: OTEL_SERVICE_NAME
+          value: "<SERVICE_NAME>"
+        - name: OTEL_SERVICE_VERSION
+          value: "<SERVICE_VERSION>"
+        - name: OTEL_ENVIRONMENT
+          value: "<ENVIRONMENT>"
+        - name: OTEL_RESOURCE_ATTRIBUTES
+          value: "service.name=$(OTEL_SERVICE_NAME),service.version=$(OTEL_SERVICE_VERSION),deployment.environment.name=$(OTEL_ENVIRONMENT)"
+```
+
+### Infrastructure configuration
+
+Add the corresponding annotations to your Kubernetes `Deployment` metadata. The `k8sattributes` processor in the Collector uses these annotations to enrich infrastructure metrics with service context.
+
+```yaml
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: my-app
+  annotations:
+    # Use resource.opentelemetry.io/ for the k8sattributes processor
+    resource.opentelemetry.io/service.name: "<SERVICE_NAME>"
+    resource.opentelemetry.io/service.version: "<SERVICE_VERSION>"
+    resource.opentelemetry.io/deployment.environment.name: "<ENVIRONMENT>"
+spec:
+  template:
+    metadata:
+      annotations:
+        resource.opentelemetry.io/service.name: "<SERVICE_NAME>"
+        resource.opentelemetry.io/service.version: "<SERVICE_VERSION>"
+        resource.opentelemetry.io/deployment.environment.name: "<ENVIRONMENT>"
+# ... rest of the manifest
+```
+
+## Data collected
+
+This integration collects metrics using several OpenTelemetry receivers.
+
+### kube-state-metrics (using Prometheus receiver)
+
+Metrics scraped from the `kube-state-metrics` endpoint provide information about the state of Kubernetes API objects.
+
+### Kubelet stats receiver
+
+The `kubeletstatsreceiver` collects metrics from the Kubelet on each node, focusing on pod, container, and volume resource usage.
+
+{{< mapping-table resource="kubeletstats.csv">}}
+
+### Kubernetes cluster receiver
+
+The `k8sclusterreceiver` collects cluster-level metrics, such as the status and count of nodes, pods, and other objects.
+
+{{< mapping-table resource="k8scluster.csv">}}
+
+### Host metrics receiver
+
+The `hostmetricsreceiver` gathers system-level metrics from each node in the cluster.
+
+{{< mapping-table resource="host.csv">}}
+
+See [OpenTelemetry Metrics Mapping][5] for more information.
+
+## Further reading
+
+{{< partial name="whats-next/whats-next.html" >}}
+
+[1]: https://app.datadoghq.com/dash/integration/86/kubernetes---overview
+[2]: https://helm.sh/docs/intro/install/
+[3]: https://github.com/DataDog/opentelemetry-examples/blob/main/guides/kubernetes/configuration/cluster-collector.yaml
+[4]: https://github.com/DataDog/opentelemetry-examples/blob/main/guides/kubernetes/configuration/daemonset-collector.yaml
+[5]: /opentelemetry/schema_semantics/metrics_mapping/
+[6]: https://app.datadoghq.com/metric/summary
+[7]: /getting_started/tagging/unified_service_tagging/?tab=kubernetes#opentelemetry
+[8]: https://github.com/kubernetes/kube-state-metrics
diff --git a/static/images/opentelemetry/collector_exporter/kubernetes_metrics.png b/static/images/opentelemetry/collector_exporter/kubernetes_metrics.png
new file mode 100644
index 0000000000000..a727e9bffbd55
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