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2018-10-16 16:24:23 +00:00

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Connecting GitLab with a Kubernetes cluster

Introduced 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, deploy your applications, run your pipelines, use it with Auto DevOps, 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 from within GitLab, or provide the credentials to 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, 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 and apply for credit.

NOTE: Note: The Google authentication integration 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 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.

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:

Navigate to your project's Operations > Kubernetes page.

NOTE: Note: You need Maintainer permissions and above to access the Kubernetes page.
Click on Add Kubernetes cluster.
Click on Create with Google Kubernetes Engine.
Connect your Google account if you haven't done already by clicking the Sign in with Google button.
From there on, choose your cluster's settings:
- Kubernetes cluster name - The name you wish to give the cluster.
- Environment scope - The associated environment 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.
- Zone - Choose the region zone 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 of the Virtual Machine instance that the cluster will be based on.
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.

Adding an existing Kubernetes cluster

To add an existing Kubernetes cluster to your project:

Navigate to your project's Operations > Kubernetes page.

NOTE: Note: You need Maintainer permissions and above to access the Kubernetes page.
Click on Add Kubernetes cluster.
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 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 to create one. You can also view or create service tokens in the Kubernetes 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.
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.

Security implications

CAUTION: Important: The whole cluster security is based on a model where developers 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). The newer RBAC authorization is experimental.

Role-based access control (RBAC) [CORE ONLY]

Introduced in GitLab 11.4.

CAUTION: Warning: The RBAC authorization is experimental.

Once RBAC is enabled for a cluster, GitLab will create the necessary service accounts and privileges in order to install and run GitLab managed applications.

If you are 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, 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.

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.

Security of GitLab Runners

GitLab Runners have 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 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 and deployments.

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	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	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
Prometheus	10.4+	Prometheus is an open-source monitoring and alerting system useful to supervise your deployed applications.	stable/prometheus
GitLab 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, 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 before doing so.	runner/gitlab-runner
JupyterHub	11.0+	JupyterHub is a multi-user service for managing notebooks across a team. Jupyter Notebooks provide a web-based interactive programming environment used for data analysis, visualization, and machine learning. We use this custom Jupyter image that installs additional useful packages on top of the base Jupyter. You will also see ready-to-use DevOps Runbooks built with Nurtch's Rubix library. More information on creating executable runbooks can be found at Nurtch Documentation. Note: Authentication will be enabled for any user of the GitLab server via OAuth2. HTTPS will be supported in a future release.	jupyter/jupyterhub

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.

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 in GitLab 10.6.

If you installed the Ingress via the 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 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, run the following command:

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:

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. For these platforms, run:
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.

Pointing your DNS at the cluster IP

Once you've set up the static IP, you should associate it to a 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 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 in an 1:1 relationship similar to how the environment-specific 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:

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 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 that will differentiate the new cluster with the rest.

Deployment variables

The Kubernetes cluster integration exposes the following 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 `<project_name>-<project_id>`. 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:

Click the "Enabled/Disabled" switch
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.

GitLab's Deploy Boards offer a consolidated view of the current health and status of each CI environment 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

Canary Deployments

Available in GitLab Premium.

Leverage Kubernetes' Canary deployments and visualize your canary deployments right inside the Deploy Board, without the need to leave GitLab.

> Read more about Canary Deployments

Kubernetes monitoring

Automatically detect and monitor Kubernetes metrics. Automatic monitoring of NGINX ingress is also supported.

> Read more about Kubernetes monitoring

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

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 support to your environments. 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!

Connecting and deploying to an Amazon EKS cluster

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