#### Getting metrics to display on the Metrics Dashboard
After completing the steps above, you will also need deployments in order to view the
**Operations > Metrics** page. Setting up [Auto DevOps](../../../topics/autodevops/index.md)
will help you to quickly create a deployment:
1. Navigate to your project's **Operations > Kubernetes** page, and ensure that,
in addition to "Prometheus" and "Helm Tiller", you also have "Runner" and "Ingress"
installed. Once "Ingress" is installed, copy its endpoint.
1. Navigate to your project's **Settings > CI/CD** page. In the Auto DevOps section,
select a deployment strategy and save your changes.
1. On the same page, in the Variables section, add a variable named `KUBE_INGRESS_BASE_DOMAIN`
with the value of the Ingress endpoint you have copied in the previous step. Leave the type
as "Variable".
1. Navigate to your project's **CI/CD > Pipelines** page, and run a pipeline on any branch.
1. When the pipeline has run successfully, graphs will be available on the **Operations > Metrics** page.
#### About managed Prometheus deployments
#### About managed Prometheus deployments
Prometheus is deployed into the `gitlab-managed-apps` namespace, using the [official Helm chart](https://github.com/helm/charts/tree/master/stable/prometheus). Prometheus is only accessible within the cluster, with GitLab communicating through the [Kubernetes API](https://kubernetes.io/docs/concepts/overview/kubernetes-api/).
Prometheus is deployed into the `gitlab-managed-apps` namespace, using the [official Helm chart](https://github.com/helm/charts/tree/master/stable/prometheus). Prometheus is only accessible within the cluster, with GitLab communicating through the [Kubernetes API](https://kubernetes.io/docs/concepts/overview/kubernetes-api/).