- Enabled by default
- Quick start
- Comparison to application platforms and PaaS
- Auto DevOps base domain
- Enabling/Disabling Auto DevOps
- Using multiple Kubernetes clusters
- Currently supported languages
- Development guides
- Introduced in GitLab 10.0.
- Generally available on GitLab 11.0.
Auto DevOps provides pre-defined CI/CD configuration which allows you to automatically detect, build, test, deploy, and monitor your applications. Leveraging CI/CD best practices and tools, Auto DevOps aims to simplify the setup and execution of a mature & modern software development lifecycle.
With Auto DevOps, the software development process becomes easier to set up as every project can have a complete workflow from verification to monitoring with minimal configuration. Just push your code and GitLab takes care of everything else. This makes it easier to start new projects and brings consistency to how applications are set up throughout a company.
For an introduction to Auto DevOps, watch AutoDevOps in GitLab 11.0.
Introduced in GitLab 11.3.
Auto DevOps is enabled by default for all projects and will attempt to run on all pipelines in each project. This default can be enabled or disabled by an instance administrator in the Auto DevOps settings. It will be automatically disabled in individual projects on their first pipeline failure, if it has not been explicitly enabled for the project.
If a CI/CD configuration file is present in the project, it will continue to be used, whether or not Auto DevOps is enabled.
If you are using GitLab.com, see the quick start guide for how to use Auto DevOps with GitLab.com and a Kubernetes cluster on Google Kubernetes Engine (GKE).
If you are using a self-managed instance of GitLab, you will need to configure the Google OAuth2 OmniAuth Provider before you can configure a cluster on GKE. Once this is set up, you can follow the steps on the quick start guide to get started.
Auto DevOps provides functionality that is often included in an application platform or a Platform as a Service (PaaS). It takes inspiration from the innovative work done by Heroku and goes beyond it in multiple ways:
- Auto DevOps works with any Kubernetes cluster; you’re not limited to running on GitLab’s infrastructure. (Note that many features also work without Kubernetes).
- There is no additional cost (no markup on the infrastructure costs), and you can use a Kubernetes cluster you host or Containers as a Service on any public cloud (for example, Google Kubernetes Engine).
- Auto DevOps has more features including security testing, performance testing, and code quality testing.
- Auto DevOps offers an incremental graduation path. If you need advanced customizations, you can start modifying the templates without having to start over on a completely different platform. Review the customizing documentation for more information.
Comprised of a set of stages, Auto DevOps brings these best practices to your project in a simple and automatic way:
- Auto Build
- Auto Test
- Auto Code Quality
- Auto SAST (Static Application Security Testing)
- Auto Dependency Scanning
- Auto License Compliance
- Auto Container Scanning
- Auto Review Apps
- Auto DAST (Dynamic Application Security Testing)
- Auto Deploy
- Auto Browser Performance Testing
- Auto Monitoring
As Auto DevOps relies on many different components, it’s good to have a basic knowledge of the following:
Auto DevOps provides great defaults for all the stages; you can, however, customize almost everything to your needs.
For an overview on the creation of Auto DevOps, read more in this blog post.
To make full use of Auto DevOps, you will need:
Kubernetes (for Auto Review Apps, Auto Deploy, and Auto Monitoring)
To enable deployments, you will need:
- A Kubernetes 1.12+ cluster for the project. The easiest way is to create a new cluster using the GitLab UI. For Kubernetes 1.16+ clusters, there is some additional configuration for Auto Deploy for Kubernetes 1.16+.
NGINX Ingress. You can deploy it to your Kubernetes cluster by installing the GitLab-managed app for Ingress, once you have configured GitLab’s Kubernetes integration in the previous step.
Alternatively, you can use the
nginx-ingressHelm chart to install Ingress manually.Note: If you are using your own Ingress instead of the one provided by GitLab’s managed apps, ensure you are running at least version 0.9.0 of NGINX Ingress and enable Prometheus metrics in order for the response metrics to appear. You will also have to annotate the NGINX Ingress deployment to be scraped by Prometheus using
Base domain (for Auto Review Apps, Auto Deploy, and Auto Monitoring)
You will need a domain configured with wildcard DNS which is going to be used by all of your Auto DevOps applications. If you’re using the GitLab-managed app for Ingress, the URL endpoint will be automatically configured for you.
You will then need to specify the Auto DevOps base domain.
GitLab Runner (for all stages)
Your Runner needs to be configured to be able to run Docker. Generally this means using either the Docker or Kubernetes executors, with privileged mode enabled. The Runners do not need to be installed in the Kubernetes cluster, but the Kubernetes executor is easy to use and is automatically autoscaling. Docker-based Runners can be configured to autoscale as well, using Docker Machine.
If you have configured GitLab’s Kubernetes integration in the first step, you can deploy it to your cluster by installing the GitLab-managed app for GitLab Runner.
Runners should be registered as shared Runners for the entire GitLab instance, or specific Runners that are assigned to specific projects (the default if you have installed the GitLab Runner managed application).
Prometheus (for Auto Monitoring)
To enable Auto Monitoring, you will need Prometheus installed somewhere (inside or outside your cluster) and configured to scrape your Kubernetes cluster. If you have configured GitLab’s Kubernetes integration, you can deploy it to your cluster by installing the GitLab-managed app for Prometheus.
To get response metrics (in addition to system metrics), you need to configure Prometheus to monitor NGINX.
cert-manager (optional, for TLS/HTTPS)
To enable HTTPS endpoints for your application, you need to install cert-manager, a native Kubernetes certificate management controller that helps with issuing certificates. Installing cert-manager on your cluster will issue a certificate by Let’s Encrypt and ensure that certificates are valid and up-to-date. If you have configured GitLab’s Kubernetes integration, you can deploy it to your cluster by installing the GitLab-managed app for cert-manager.
If you do not have Kubernetes or Prometheus installed, then Auto Review Apps, Auto Deploy, and Auto Monitoring will be silently skipped.
One all requirements are met, you can go ahead and enable Auto DevOps.
- either under the cluster’s settings, whether for projects or groups
- or in instance-wide settings in the Admin Area > Settings under the “Continuous Integration and Delivery” section
- or at the project level as a variable:
- or at the group level as a variable:
The base domain variable
KUBE_INGRESS_BASE_DOMAIN follows the same order of precedence
as other environment variables.
A wildcard DNS A record matching the base domain(s) is required, for example,
given a base domain of
example.com, you’d need a DNS entry like:
*.example.com 3600 A 18.104.22.168
In this case,
example.com is the domain name under which the deployed apps will be served,
22.214.171.124 is the IP address of your load balancer; generally NGINX
(see requirements). How to set up the DNS record is beyond
the scope of this document; you should check with your DNS provider.
Alternatively you can use free public services like nip.io
which provide automatic wildcard DNS without any configuration. Just set the
Auto DevOps base domain to
Once set up, all requests will hit the load balancer, which in turn will route them to the Kubernetes pods that run your application(s).
When first using Auto DevOps, review the requirements to ensure all necessary components to make full use of Auto DevOps are available. If this is your fist time, we recommend you follow the quick start guide.
GitLab.com users can enable/disable Auto DevOps at the project-level only. Self-managed users can enable/disable Auto DevOps at the project-level, group-level or instance-level.
If enabling, check that your project doesn’t have a
.gitlab-ci.yml, or if one exists, remove it.
- Go to your project’s Settings > CI/CD > Auto DevOps.
- Toggle the Default to Auto DevOps pipeline checkbox (checked to enable, unchecked to disable)
- When enabling, it’s optional but recommended to add in the base domain that will be used by Auto DevOps to deploy your application and choose the deployment strategy.
- Click Save changes for the changes to take effect.
When the feature has been enabled, an Auto DevOps pipeline is triggered on the default branch.
Introduced in GitLab 11.10.
Only administrators and group owners can enable or disable Auto DevOps at the group level.
To enable or disable Auto DevOps at the group-level:
- Go to group’s Settings > CI/CD > Auto DevOps page.
- Toggle the Default to Auto DevOps pipeline checkbox (checked to enable, unchecked to disable).
- Click Save changes button for the changes to take effect.
When enabling or disabling Auto DevOps at group-level, group configuration will be implicitly used for the subgroups and projects inside that group, unless Auto DevOps is specifically enabled or disabled on the subgroup or project.
Even when disabled at the instance level, group owners and project maintainers can still enable Auto DevOps at the group and project level, respectively.
- Go to Admin Area > Settings > Continuous Integration and Deployment.
- Toggle the checkbox labeled Default to Auto DevOps pipeline for all projects.
- If enabling, optionally set up the Auto DevOps base domain which will be used for Auto Deploy and Auto Review Apps.
- Click Save changes for the changes to take effect.
There is also a feature flag to enable Auto DevOps by default to your chosen percentage of projects.
This can be enabled from the console with the following, which uses the example of 10%:
Introduced in GitLab 11.0.
You can change the deployment strategy used by Auto DevOps by going to your project’s Settings > CI/CD > Auto DevOps.
The available options are:
- Continuous deployment to production: Enables Auto Deploy
masterbranch directly deployed to production.
- Continuous deployment to production using timed incremental rollout: Sets the
timed, and production deployment will be executed with a 5 minute delay between each increment in rollout.
masterbranch is directly deployed to staging.
- Manual actions are provided for incremental rollout to production.
When using Auto DevOps, you may want to deploy different environments to different Kubernetes clusters. This is possible due to the 1:1 connection that exists between them.
In the Auto DevOps template (used behind the scenes by Auto DevOps), there are currently 3 defined environment names that you need to know:
review/(every environment starting with
Those environments are tied to jobs that use Auto Deploy, so
except for the environment scope, they would also need to have a different
domain they would be deployed to. This is why you need to define a separate
KUBE_INGRESS_BASE_DOMAIN variable for all the above
based on the environment.
The following table is an example of how the three different clusters would be configured.
|Cluster name||Cluster environment scope||Variable environment scope||Notes|
|review||The review cluster which will run all Review Apps. |
|staging||(Optional) The staging cluster which will run the deployments of the staging environments. You need to enable it first.|
|production||The production cluster which will run the deployments of the production environment. You can use incremental rollouts.|
To add a different cluster for each environment:
Navigate to your project’s Operations > Kubernetes and create the Kubernetes clusters with their respective environment scope as described from the table above.
- After the clusters are created, navigate to each one and install Helm Tiller and Ingress. Wait for the Ingress IP address to be assigned.
- Make sure you have configured your DNS with the specified Auto DevOps domains.
- Navigate to each cluster’s page, through Operations > Kubernetes, and add the domain based on its Ingress IP address.
Now that all is configured, you can test your setup by creating a merge request
and verifying that your app is deployed as a review app in the Kubernetes
cluster with the
review/* environment scope. Similarly, you can check the
Note that not all buildpacks support Auto Test yet, as it’s a relatively new enhancement. All of Heroku’s officially supported languages support it, and some third-party buildpacks as well e.g., Go, Node, Java, PHP, Python, Ruby, Gradle, Scala, and Elixir all support Auto Test, but notably the multi-buildpack does not.
As of GitLab 10.0, the supported buildpacks are:
- heroku-buildpack-multi v1.0.0 - heroku-buildpack-ruby v168 - heroku-buildpack-nodejs v99 - heroku-buildpack-clojure v77 - heroku-buildpack-python v99 - heroku-buildpack-java v53 - heroku-buildpack-gradle v23 - heroku-buildpack-scala v78 - heroku-buildpack-play v26 - heroku-buildpack-php v122 - heroku-buildpack-go v72 - heroku-buildpack-erlang fa17af9 - buildpack-nginx v8
The following restrictions apply.
There is no documented way of using private container registry with Auto DevOps. We strongly advise using GitLab Container Registry with Auto DevOps in order to simplify configuration and prevent any unforeseen issues.
GitLab does not yet support installing Helm as a GitLab-managed App when
behind a proxy. Users who wish to do so must inject their proxy settings
into the installation pods at runtime, for example by using a
apiVersion: settings.k8s.io/v1alpha1 kind: PodPreset metadata: name: gitlab-managed-apps-default-proxy namespace: gitlab-managed-apps spec: env: - name: http_proxy value: "PUT_YOUR_HTTP_PROXY_HERE" - name: https_proxy value: "PUT_YOUR_HTTPS_PROXY_HERE"
- Auto Build and Auto Test may fail in detecting your language/framework. There
may be no buildpack for your application, or your application may be missing the
key files the buildpack is looking for. For example, for Ruby applications, you must
Gemfileto be properly detected, even though it is possible to write a Ruby app without a
Gemfile. Try specifying a custom buildpack.
- Auto Test may fail because of a mismatch between testing frameworks. In this
case, you may need to customize your
.gitlab-ci.ymlwith your test commands.
- Auto Deploy will fail if GitLab can not create a Kubernetes namespace and service account for your project. For help debugging this issue, see Troubleshooting failed deployment jobs.