# Command to get dashbaord running inside a container on local laptop

**URL:** <https://discuss.ray.io/t/command-to-get-dashbaord-running-inside-a-container-on-local-laptop/1758>\
**Category:** Dashboard, Monitoring & Debugging\
**Created:** [April 16, 2021, 1:47pm UTC](https://discuss.ray.io/t/command-to-get-dashbaord-running-inside-a-container-on-local-laptop/1758 "2021-04-16T13:47:31Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![asm582](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/asm582/32/669_2.png) [@asm582](https://discuss.ray.io/u/asm582)\
**Post date:** [April 16, 2021, 1:47pm UTC](https://discuss.ray.io/t/command-to-get-dashbaord-running-inside-a-container-on-local-laptop/1758/1 "2021-04-16T13:47:31Z")

</div>

Hello,

If this helps, maybe we can add the below Kube command in the documentation to port forward dashboard running inside a docker container on the localhost in the current documentation:

**Forward port from docker container to browser:**

kubectl -n ray port-forward

---

<div class="post-metadata">

**Author:** ![sangcho](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/sangcho/32/425_2.png) [@sangcho](https://discuss.ray.io/u/sangcho)\
**Post date:** [April 16, 2021, 8:47pm UTC](https://discuss.ray.io/t/command-to-get-dashbaord-running-inside-a-container-on-local-laptop/1758/2 "2021-04-16T20:47:06Z")

</div>

cc @Dmitri I think it is a good feedback. Can you create an issue?

---

<div class="post-metadata">

**Author:** ![Dmitri](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/dmitri/32/657_2.png) [@Dmitri](https://discuss.ray.io/u/Dmitri)\
**Post date:** [April 18, 2021, 9:46pm UTC](https://discuss.ray.io/t/command-to-get-dashbaord-running-inside-a-container-on-local-laptop/1758/3 "2021-04-18T21:46:53Z")

</div>

`kubectl port-forward` is indeed the recommended way of accessing the dashboard when running the Ray head in a Kubernetes pod:  
[https://docs.ray.io/en/master/cluster/kubernetes.html#accessing-the-dashboard](https://docs.ray.io/en/master/cluster/kubernetes.html#accessing-the-dashboard)
