# Connecting GitLab with a Kubernetes cluster > [Introduced](https://gitlab.com/gitlab-org/gitlab-ce/issues/35954) in GitLab 10.1. Connect your project to Google Kubernetes Engine (GKE) or an existing Kubernetes cluster in a few steps. ## Overview With one or more Kubernetes clusters associated to your project, you can use [Review Apps](../../../ci/review_apps/index.md), deploy your applications, run your pipelines, use it with [Auto DevOps](../../../topics/autodevops/index.md), and much more, all from within GitLab. There are two options when adding a new cluster to your project; either associate your account with Google Kubernetes Engine (GKE) so that you can [create new clusters](#adding-and-creating-a-new-gke-cluster-via-gitlab) from within GitLab, or provide the credentials to an [existing Kubernetes cluster](#adding-an-existing-kubernetes-cluster). ## Adding and creating a new GKE cluster via GitLab TIP: **Tip:** Every new Google Cloud Platform (GCP) account receives [$300 in credit upon sign up](https://console.cloud.google.com/freetrial), and in partnership with Google, GitLab is able to offer an additional $200 for new GCP accounts to get started with GitLab's Google Kubernetes Engine Integration. All you have to do is [follow this link](https://goo.gl/AaJzRW) and apply for credit. NOTE: **Note:** The [Google authentication integration](../../../integration/google.md) must be enabled in GitLab at the instance level. If that's not the case, ask your GitLab administrator to enable it. On GitLab.com, this is enabled. ### Requirements Before creating your first cluster on Google Kubernetes Engine with GitLab's integration, make sure the following requirements are met: - A [billing account](https://cloud.google.com/billing/docs/how-to/manage-billing-account) is set up and you have permissions to access it. - The Kubernetes Engine API is enabled. Follow the steps as outlined in the ["Before you begin" section of the Kubernetes Engine docs](https://cloud.google.com/kubernetes-engine/docs/quickstart#before-you-begin). ### Creating the cluster If all of the above requirements are met, you can proceed to create and add a new Kubernetes cluster to your project: 1. Navigate to your project's **Operations > Kubernetes** page. NOTE: **Note:** You need Maintainer [permissions] and above to access the Kubernetes page. 1. Click on **Add Kubernetes cluster**. 1. Click on **Create with Google Kubernetes Engine**. 1. Connect your Google account if you haven't done already by clicking the **Sign in with Google** button. 1. From there on, choose your cluster's settings: - **Kubernetes cluster name** - The name you wish to give the cluster. - **Environment scope** - The [associated environment](#setting-the-environment-scope) to this cluster. - **Google Cloud Platform project** - Choose the project you created in your GCP console that will host the Kubernetes cluster. Learn more about [Google Cloud Platform projects](https://cloud.google.com/resource-manager/docs/creating-managing-projects). - **Zone** - Choose the [region zone](https://cloud.google.com/compute/docs/regions-zones/) under which the cluster will be created. - **Number of nodes** - Enter the number of nodes you wish the cluster to have. - **Machine type** - The [machine type](https://cloud.google.com/compute/docs/machine-types) of the Virtual Machine instance that the cluster will be based on. 1. Finally, click the **Create Kubernetes cluster** button. After a couple of minutes, your cluster will be ready to go. You can now proceed to install some [pre-defined applications](#installing-applications). ## Adding an existing Kubernetes cluster To add an existing Kubernetes cluster to your project: 1. Navigate to your project's **Operations > Kubernetes** page. NOTE: **Note:** You need Maintainer [permissions] and above to access the Kubernetes page. 1. Click on **Add Kubernetes cluster**. 1. Click on **Add an existing Kubernetes cluster** and fill in the details: - **Kubernetes cluster name** (required) - The name you wish to give the cluster. - **Environment scope** (required)- The [associated environment](#setting-the-environment-scope) to this cluster. - **API URL** (required) - It's the URL that GitLab uses to access the Kubernetes API. Kubernetes exposes several APIs, we want the "base" URL that is common to all of them, e.g., `https://kubernetes.example.com` rather than `https://kubernetes.example.com/api/v1`. - **CA certificate** (optional) - If the API is using a self-signed TLS certificate, you'll also need to include the `ca.crt` contents here. - **Token** - GitLab authenticates against Kubernetes using service tokens, which are scoped to a particular `namespace`. If you don't have a service token yet, you can follow the [Kubernetes documentation](https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/) to create one. You can also view or create service tokens in the [Kubernetes dashboard](https://kubernetes.io/docs/tasks/access-application-cluster/web-ui-dashboard/) (under **Config > Secrets**). **The account that will issue the service token must have admin privileges on the cluster.** - **Project namespace** (optional) - You don't have to fill it in; by leaving it blank, GitLab will create one for you. Also: - Each project should have a unique namespace. - The project namespace is not necessarily the namespace of the secret, if you're using a secret with broader permissions, like the secret from `default`. - You should **not** use `default` as the project namespace. - If you or someone created a secret specifically for the project, usually with limited permissions, the secret's namespace and project namespace may be the same. 1. Finally, click the **Create Kubernetes cluster** button. After a couple of minutes, your cluster will be ready to go. You can now proceed to install some [pre-defined applications](#installing-applications). ## Security implications CAUTION: **Important:** The whole cluster security is based on a model where [developers](../../permissions.md) are trusted, so **only trusted users should be allowed to control your clusters**. The default cluster configuration grants access to a wide set of functionalities needed to successfully build and deploy a containerized application. Bare in mind that the same credentials are used for all the applications running on the cluster. When GitLab creates the cluster, it enables and uses the legacy [Attribute-based access control (ABAC)](https://kubernetes.io/docs/admin/authorization/abac/). The newer [RBAC](https://kubernetes.io/docs/admin/authorization/rbac/) authorization is [experimental](#role-based-access-control-rbac). ### Role-based access control (RBAC) **[CORE ONLY]** > [Introduced](https://gitlab.com/gitlab-org/gitlab-ce/merge_requests/21401) in GitLab 11.4. CAUTION: **Warning:** The RBAC authorization is experimental. To enable it you need access to the server where GitLab is installed. The support for RBAC-enabled clusters is hidden behind a feature flag. Once the feature flag is enabled, GitLab will create the necessary service accounts and privileges in order to install and run [GitLab managed applications](#installing-applications). To enable the feature flag: 1. SSH into the server where GitLab is installed. 1. Enter the Rails console: **For Omnibus GitLab** ```sh sudo gitlab-rails console ``` **For installations from source** ```sh sudo -u git -H bundle exec rails console ``` 1. Enable the RBAC authorization: ```ruby Feature.enable('rbac_clusters') ``` If you are creating a [new GKE cluster via GitLab](#adding-and-creating-a-new-gke-cluster-via-gitlab), you will be asked if you would like to create an RBAC-enabled cluster. Enabling this setting will create a `gitlab` service account which will be used by GitLab to manage the newly created cluster. To enable this, this service account will have the `cluster-admin` privilege. If you are [adding an existing Kubernetes cluster](#adding-an-existing-kubernetes-cluster), you will be asked if the cluster you are adding is a RBAC-enabled cluster. Ensure the token of the account has administrator privileges for the cluster. In both cases above, when you install Helm Tiller into your cluster, an RBAC-enabled cluster will create a `tiller` service account, with `cluster-admin` privileges in the `gitlab-managed-apps` namespace. This service account will be added to the installed Helm Tiller and will be used by Helm to install and run [GitLab managed applications](#installing-applications). The table below summarizes which resources will be created in a RBAC-enabled cluster : | Name | Kind | Details | Created when | | --- | --- | --- | --- | | `gitlab` | `ServiceAccount` | `default` namespace | Creating a new GKE Cluster | | `gitlab-admin` | `ClusterRoleBinding` | `cluster-admin` roleRef | Creating a new GKE Cluster | | `gitlab-token` | `Secret` | Token for `gitlab` ServiceAccount | Creating a new GKE Cluster | | `tiller` | `ServiceAccount` | `gitlab-managed-apps` namespace | Installing Helm Tiller | | `tiller-admin` | `ClusterRoleBinding` | `cluster-admin` roleRef | Installing Helm Tiller | Helm Tiller will also create additional service accounts and other RBAC resources for each installed application. Consult the documentation for the Helm charts for each application for details. NOTE: **Note:** Auto DevOps will not successfully complete in a cluster that only has RBAC authorization enabled. RBAC support for Auto DevOps is planned in a [future release](https://gitlab.com/gitlab-org/gitlab-ce/issues/44597). ### Security of GitLab Runners GitLab Runners have the [privileged mode](https://docs.gitlab.com/runner/executors/docker.html#the-privileged-mode) enabled by default, which allows them to execute special commands and running Docker in Docker. This functionality is needed to run some of the [Auto DevOps] jobs. This implies the containers are running in privileged mode and you should, therefore, be aware of some important details. The privileged flag gives all capabilities to the running container, which in turn can do almost everything that the host can do. Be aware of the inherent security risk associated with performing `docker run` operations on arbitrary images as they effectively have root access. If you don't want to use GitLab Runner in privileged mode, first make sure that you don't have it installed via the applications, and then use the [Runner's Helm chart](../../../install/kubernetes/gitlab_runner_chart.md) to install it manually. ## Installing applications GitLab provides a one-click install for various applications which will be added directly to your configured cluster. Those applications are needed for [Review Apps](../../../ci/review_apps/index.md) and [deployments](../../../ci/environments.md). NOTE: **Note:** The applications will be installed in a dedicated namespace called `gitlab-managed-apps`. In case you have added an existing Kubernetes cluster with Tiller already installed, you should be careful as GitLab cannot detect it. By installing it via the applications will result into having it twice, which can lead to confusion during deployments. | Application | GitLab version | Description | Helm Chart | | ----------- | :------------: | ----------- | --------------- | | [Helm Tiller](https://docs.helm.sh/) | 10.2+ | Helm is a package manager for Kubernetes and is required to install all the other applications. It is installed in its own pod inside the cluster which can run the `helm` CLI in a safe environment. | n/a | | [Ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/) | 10.2+ | Ingress can provide load balancing, SSL termination, and name-based virtual hosting. It acts as a web proxy for your applications and is useful if you want to use [Auto DevOps] or deploy your own web apps. | [stable/nginx-ingress](https://github.com/helm/charts/tree/master/stable/nginx-ingress) | | [Prometheus](https://prometheus.io/docs/introduction/overview/) | 10.4+ | Prometheus is an open-source monitoring and alerting system useful to supervise your deployed applications. | [stable/prometheus](https://github.com/helm/charts/tree/master/stable/prometheus) | | [GitLab Runner](https://docs.gitlab.com/runner/) | 10.6+ | GitLab Runner is the open source project that is used to run your jobs and send the results back to GitLab. It is used in conjunction with [GitLab CI/CD](https://about.gitlab.com/features/gitlab-ci-cd/), the open-source continuous integration service included with GitLab that coordinates the jobs. When installing the GitLab Runner via the applications, it will run in **privileged mode** by default. Make sure you read the [security implications](#security-implications) before doing so. | [runner/gitlab-runner](https://gitlab.com/charts/gitlab-runner) | | [JupyterHub](http://jupyter.org/) | 11.0+ | [JupyterHub](https://jupyterhub.readthedocs.io/en/stable/) is a multi-user service for managing notebooks across a team. [Jupyter Notebooks](https://jupyter-notebook.readthedocs.io/en/latest/) provide a web-based interactive programming environment used for data analysis, visualization, and machine learning. We use [this](https://gitlab.com/gitlab-org/jupyterhub-user-image/blob/master/Dockerfile) custom Jupyter image that installs additional useful packages on top of the base Jupyter. **Note**: Authentication will be enabled for any user of the GitLab server via OAuth2. HTTPS will be supported in a future release. | [jupyter/jupyterhub](https://jupyterhub.github.io/helm-chart/) | ## Getting the external IP address NOTE: **Note:** You need a load balancer installed in your cluster in order to obtain the external IP address with the following procedure. It can be deployed using the [**Ingress** application](#installing-applications). In order to publish your web application, you first need to find the external IP address associated to your load balancer. ### Let GitLab fetch the IP address > [Introduced](https://gitlab.com/gitlab-org/gitlab-ce/merge_requests/17052) in GitLab 10.6. If you installed the Ingress [via the **Applications**](#installing-applications), you should see the Ingress IP address on this same page within a few minutes. If you don't see this, GitLab might not be able to determine the IP address of your ingress application in which case you should manually determine it. ### Manually determining the IP address If the cluster is on GKE, click on the **Google Kubernetes Engine** link in the **Advanced settings**, or go directly to the [Google Kubernetes Engine dashboard](https://console.cloud.google.com/kubernetes/) and select the proper project and cluster. Then click on **Connect** and execute the `gcloud` command in a local terminal or using the **Cloud Shell**. If the cluster is not on GKE, follow the specific instructions for your Kubernetes provider to configure `kubectl` with the right credentials. If you installed the Ingress [via the **Applications**](#installing-applications), run the following command: ```bash kubectl get svc --namespace=gitlab-managed-apps ingress-nginx-ingress-controller -o jsonpath='{.status.loadBalancer.ingress[0].ip} ' ``` Otherwise, you can list the IP addresses of all load balancers: ```bash kubectl get svc --all-namespaces -o jsonpath='{range.items[?(@.status.loadBalancer.ingress)]}{.status.loadBalancer.ingress[*].ip} ' ``` > **Note**: Some Kubernetes clusters return a hostname instead, like [Amazon EKS](https://aws.amazon.com/eks/). For these platforms, run: > ```bash > kubectl get service ingress-nginx-ingress-controller -n gitlab-managed-apps -o jsonpath="{.status.loadBalancer.ingress[0].hostname}". > ``` The output is the external IP address of your cluster. This information can then be used to set up DNS entries and forwarding rules that allow external access to your deployed applications. ### Using a static IP By default, an ephemeral external IP address is associated to the cluster's load balancer. If you associate the ephemeral IP with your DNS and the IP changes, your apps will not be able to be reached, and you'd have to change the DNS record again. In order to avoid that, you should change it into a static reserved IP. [Read how to promote an ephemeral external IP address in GKE.](https://cloud.google.com/compute/docs/ip-addresses/reserve-static-external-ip-address#promote_ephemeral_ip) ### Pointing your DNS at the cluster IP Once you've set up the static IP, you should associate it to a [wildcard DNS record](https://en.wikipedia.org/wiki/Wildcard_DNS_record), in order to be able to reach your apps. This heavily depends on your domain provider, but in case you aren't sure, just create an A record with a wildcard host like `*.example.com.`. ## Setting the environment scope NOTE: **Note:** This is only available for [GitLab Premium][ee] where you can add more than one Kubernetes cluster. When adding more than one Kubernetes clusters to your project, you need to differentiate them with an environment scope. The environment scope associates clusters and [environments](../../../ci/environments.md) in an 1:1 relationship similar to how the [environment-specific variables](../../../ci/variables/README.md#limiting-environment-scopes-of-variables) work. The default environment scope is `*`, which means all jobs, regardless of their environment, will use that cluster. Each scope can only be used by a single cluster in a project, and a validation error will occur if otherwise. Also, jobs that don't have an environment keyword set will not be able to access any cluster. --- For example, let's say the following Kubernetes clusters exist in a project: | Cluster | Environment scope | | ---------- | ------------------- | | Development| `*` | | Staging | `staging/*` | | Production | `production/*` | And the following environments are set in [`.gitlab-ci.yml`](../../../ci/yaml/README.md): ```yaml stages: - test - deploy test: stage: test script: sh test deploy to staging: stage: deploy script: make deploy environment: name: staging/$CI_COMMIT_REF_NAME url: https://staging.example.com/ deploy to production: stage: deploy script: make deploy environment: name: production/$CI_COMMIT_REF_NAME url: https://example.com/ ``` The result will then be: - The development cluster will be used for the "test" job. - The staging cluster will be used for the "deploy to staging" job. - The production cluster will be used for the "deploy to production" job. ## Multiple Kubernetes clusters > Introduced in [GitLab Premium][ee] 10.3. With GitLab Premium, you can associate more than one Kubernetes clusters to your project. That way you can have different clusters for different environments, like dev, staging, production, etc. Simply add another cluster, like you did the first time, and make sure to [set an environment scope](#setting-the-environment-scope) that will differentiate the new cluster with the rest. ## Deployment variables The Kubernetes cluster integration exposes the following [deployment variables](../../../ci/variables/README.md#deployment-variables) in the GitLab CI/CD build environment. | Variable | Description | | -------- | ----------- | | `KUBE_URL` | Equal to the API URL. | | `KUBE_TOKEN` | The Kubernetes token. | | `KUBE_NAMESPACE` | The Kubernetes namespace is auto-generated if not specified. The default value is `-`. You can overwrite it to use different one if needed, otherwise the `KUBE_NAMESPACE` variable will receive the default value. | | `KUBE_CA_PEM_FILE` | Only present if a custom CA bundle was specified. Path to a file containing PEM data. | | `KUBE_CA_PEM` | (**deprecated**) Only if a custom CA bundle was specified. Raw PEM data. | | `KUBECONFIG` | Path to a file containing `kubeconfig` for this deployment. CA bundle would be embedded if specified. | ## Enabling or disabling the Kubernetes cluster integration After you have successfully added your cluster information, you can enable the Kubernetes cluster integration: 1. Click the "Enabled/Disabled" switch 1. Hit **Save** for the changes to take effect You can now start using your Kubernetes cluster for your deployments. To disable the Kubernetes cluster integration, follow the same procedure. ## Removing the Kubernetes cluster integration NOTE: **Note:** You need Maintainer [permissions] and above to remove a Kubernetes cluster integration. NOTE: **Note:** When you remove a cluster, you only remove its relation to GitLab, not the cluster itself. To remove the cluster, you can do so by visiting the GKE dashboard or using `kubectl`. To remove the Kubernetes cluster integration from your project, simply click on the **Remove integration** button. You will then be able to follow the procedure and add a Kubernetes cluster again. ## What you can get with the Kubernetes integration Here's what you can do with GitLab if you enable the Kubernetes integration. ### Deploy Boards > Available in [GitLab Premium][ee]. GitLab's Deploy Boards offer a consolidated view of the current health and status of each CI [environment](../../../ci/environments.md) running on Kubernetes, displaying the status of the pods in the deployment. Developers and other teammates can view the progress and status of a rollout, pod by pod, in the workflow they already use without any need to access Kubernetes. [> Read more about Deploy Boards](https://docs.gitlab.com/ee/user/project/deploy_boards.html) ### Canary Deployments > Available in [GitLab Premium][ee]. Leverage [Kubernetes' Canary deployments](https://kubernetes.io/docs/concepts/cluster-administration/manage-deployment/#canary-deployments) and visualize your canary deployments right inside the Deploy Board, without the need to leave GitLab. [> Read more about Canary Deployments](https://docs.gitlab.com/ee/user/project/canary_deployments.html) ### Kubernetes monitoring Automatically detect and monitor Kubernetes metrics. Automatic monitoring of [NGINX ingress](../integrations/prometheus_library/nginx.md) is also supported. [> Read more about Kubernetes monitoring](../integrations/prometheus_library/kubernetes.md) ### Auto DevOps Auto DevOps automatically detects, builds, tests, deploys, and monitors your applications. To make full use of Auto DevOps(Auto Deploy, Auto Review Apps, and Auto Monitoring) you will need the Kubernetes project integration enabled. [> Read more about Auto DevOps](../../../topics/autodevops/index.md) ### Web terminals NOTE: **Note:** Introduced in GitLab 8.15. You must be the project owner or have `maintainer` permissions to use terminals. Support is limited to the first container in the first pod of your environment. When enabled, the Kubernetes service adds [web terminal](../../../ci/environments.md#web-terminals) support to your [environments](../../../ci/environments.md). This is based on the `exec` functionality found in Docker and Kubernetes, so you get a new shell session within your existing containers. To use this integration, you should deploy to Kubernetes using the deployment variables above, ensuring any pods you create are labelled with `app=$CI_ENVIRONMENT_SLUG`. GitLab will do the rest! ## Read more - [Connecting and deploying to an Amazon EKS cluster](eks_and_gitlab/index.md) [permissions]: ../../permissions.md [ee]: https://about.gitlab.com/pricing/ [Auto DevOps]: ../../../topics/autodevops/index.md