* Vizualize your Kubernetes cluster performance

* Collect performances metrics for your containers, pods, container namespaces

* Create monitors on the status of your Kubelets

* Ingest Kubernetes labels as tags in Datadog.

The Kubernetes integration is deployed as a docker container along side your existing workloads.

If you are running Kubernetes >= 1.2.0, you can take advantage of DaemonSets to automatically deploy the Datadog Agent on all your nodes. On clusters running 1.1.x you will need to explicitly [enable the DaemonSets extension](http://kubernetes.io/v1.1/docs/admin/daemons.html#caveats).

1. Download the [dd-agent.yaml](https://app.datadoghq.com/account/settings#agent/kubernetes) manifest file.

1. Launch dd-agent:

kubectl create -f dd-agent.yaml

If DaemonSets are not an option for your Kubernetes cluster, you will need to install the Datadog agent as a sidecar container on each Kubernetes node.

docker run -d --name dd-agent -h `hostname` -v /var/run/docker.sock:/var/run/docker.sock -v /proc/:/host/proc/:ro -v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro -e API_KEY='YOUR_API_KEY_HERE' datadog/docker-dd-agent:kubernetes

If you would like to customize your Agent configuration, please refer to the Agent [container documentation](https://github.com/DataDog/docker-dd-agent).

To verify the Datadog agent is running in your environment as a daemonset, execeute:

$ kubectl get daemonset

If the agent is deployed you will see similar output to the text below, where desired and current are equal to the number of running nodes in your cluster.

NAME DESIRED CURRENT NODE-SELECTOR AGE

dd-agent 3 3 <none> 11h