GitLab Documentation

Auto DevOps: quick start guide

Auto DevOps is currently in Beta and not recommended for production use.

Introduced in GitLab 10.0.

This is a step-by-step guide to deploying a project hosted on GitLab.com to Google Cloud, using Auto DevOps.

We made a minimal Ruby application to use as an example for this guide. It contains two main files:

Fork sample project on GitLab.com

Let’s start by forking our sample application. Go to the project page and press the Fork button. Soon you should have a project under your namespace with the necessary files.

Setup your own cluster on Google Container Engine

If you do not already have a Google Cloud account, create one at https://console.cloud.google.com.

Visit the Container Engine tab and create a new cluster. You can change the name and leave the rest of the default settings. Once you have your cluster running, you need to connect to the cluster by following the Google interface.

Connect to Kubernetes cluster

You need to have the Google Cloud SDK installed. e.g. On macOS, install homebrew:

  1. Install Brew Caskroom: brew install caskroom/cask/brew-cask
  2. Install Google Cloud SDK: brew cask install google-cloud-sdk
  3. Add kubectl with: gcloud components install kubectl
  4. Log in: gcloud auth login

Now go back to the Google interface, find your cluster, follow the instructions under "Connect to the cluster" and open the Kubernetes Dashboard. It will look something like:

gcloud container clusters get-credentials ruby-autodeploy \ --zone europe-west2-c --project api-project-XXXXXXX

Finally, run kubectl proxy.

connect to cluster

Copy credentials to GitLab.com project

Once you have the Kubernetes Dashboard interface running, you should visit Secrets under the "Config" section. There, you should find the settings we need for GitLab integration: ca.crt and token.

connect to cluster

You need to copy-paste the ca.crt and token into your project on GitLab.com in the Kubernetes integration page under project Settings > Integrations > Project services > Kubernetes. Don't actually copy the namespace though. Each project should have a unique namespace, and by leaving it blank, GitLab will create one for you.

connect to cluster

For the API URL, you should use the "Endpoint" IP from your cluster page on Google Cloud Platform.

Expose application to the world

In order to be able to visit your application, you need to install an NGINX ingress controller and point your domain name to its external IP address. Let's see how that's done.

Set up Ingress controller

You’ll need to make sure you have an ingress controller. If you don’t have one, do:

brew install kubernetes-helm
helm init
helm install --name ruby-app stable/nginx-ingress

This should create several services including ruby-app-nginx-ingress-controller. You can list your services by running kubectl get svc to confirm that.

Point DNS at Cluster IP

Find out the external IP address of the ruby-app-nginx-ingress-controller by running:

kubectl get svc ruby-app-nginx-ingress-controller -o jsonpath='{.status.loadBalancer.ingress[0].ip}'

Use this IP address to configure your DNS. This part heavily depends on your preferences and domain provider. But in case you are not sure, just create an A record with a wildcard host like *.<your-domain>.

Use nslookup minimal-ruby-app-staging.<yourdomain> to confirm that domain is assigned to the cluster IP.

Set up Auto DevOps

In your GitLab.com project, go to Settings > CI/CD and find the Auto DevOps section. Select "Enable Auto DevOps", add in your base domain, and save.

Next, a pipeline needs to be triggered. Since the test project doesn't have a .gitlab-ci.yml, you need to either push a change to the repository or manually visit https://gitlab.com/<username>/minimal-ruby-app/pipelines/new, where <username> is your username.

This will create a new pipeline with several jobs: build, test, codequality, and production. The build job will create a Docker image with your new change and push it to the Container Registry. The test job will test your changes, whereas the codequality job will run static analysis on your changes. Finally, the production job will deploy your changes to a production application.

Once the deploy job succeeds you should be able to see your application by visiting the Kubernetes dashboard. Select the namespace of your project, which will look like minimal-ruby-app-23, but with a unique ID for your project, and your app will be listed as "production" under the Deployment tab.

Once its ready, just visit http://minimal-ruby-app.example.com to see the famous "Hello, world!"!