Auto DevOps

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  • Introduced in GitLab 11.0 for general availability.

GitLab Auto DevOps helps to reduce the complexity of software delivery by setting up pipelines and integrations for you. Instead of requiring you to manually configure your entire GitLab environment, Auto DevOps configures many of these areas for you, including security auditing and vulnerability testing.

Using Auto DevOps, you can:

  • Detect the language of your code.
  • Automatically build, test, and measure code quality.
  • Scan for potential vulnerabilities, security flaws, and licensing issues.
  • Monitor in real-time.
  • Deploy your application.

The functionality of Auto DevOps is based on default CI/CD templates that auto-discover your source code. These templates enable GitLab to provide consistency across your projects, seamless management of processes, and faster creation of new projects. Leveraging CI/CD best practices and tools, Auto DevOps lets you push your code, with GitLab doing the rest, improving your productivity and efficiency.

For an introduction to Auto DevOps, watch AutoDevOps in GitLab 11.0 or see this overview.

For requirements, read Requirements for Auto DevOps for more information.

For a developer’s guide, read Auto DevOps development guide.

Enabled by default

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On self-managed instances, Auto DevOps is enabled by default for all projects. It attempts to run on all pipelines in each project. An instance administrator can enable or disable this default in the Auto DevOps settings. Auto DevOps automatically disables in individual projects on their first pipeline failure,

noteAuto DevOps is not enabled by default on GitLab.com.

Since GitLab 12.7, Auto DevOps runs on pipelines automatically only if a Dockerfile or matching buildpack exists.

If a CI/CD configuration file is present in the project, it continues to be used, whether or not Auto DevOps is enabled.

Quick start

If you’re using GitLab.com, see the quick start guide for setting up Auto DevOps with GitLab.com and a Kubernetes cluster on Google Kubernetes Engine (GKE).

If you use a self-managed instance of GitLab, you must configure the Google OAuth2 OmniAuth Provider before configuring a cluster on GKE. After configuring the provider, you can follow the steps in the quick start guide to get started.

In GitLab 13.0 and later, it is possible to leverage Auto DevOps to deploy to AWS ECS.

Comparison to application platforms and PaaS

Auto DevOps provides features 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 infrastructure managed by GitLab. (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 starting over on a completely different platform. Review the customizing documentation for more information.

Features

noteDepending on your target platform, some features might not be available to you.

Comprised of a set of stages, Auto DevOps brings these best practices to your project in a simple and automatic way:

As Auto DevOps relies on many different components, you should have a basic knowledge of the following:

Auto DevOps provides great defaults for all the stages and makes use of CI templates. You can, however, customize almost everything to your needs, and manage Auto DevOps with GitLab APIs.

For an overview on the creation of Auto DevOps, read more in this blog post.

noteKubernetes clusters can be used without Auto DevOps.

Kubernetes requirements

See Auto DevOps requirements for Kubernetes.

Auto DevOps base domain

The Auto DevOps base domain is required to use Auto Review Apps, Auto Deploy, and Auto Monitoring. You can define the base domain in any of the following places:

  • either under the cluster’s settings, whether for an instance, projects or groups
  • or at the project level as a variable: KUBE_INGRESS_BASE_DOMAIN
  • or at the group level as a variable: KUBE_INGRESS_BASE_DOMAIN
  • or as an instance-wide fallback in Admin Area > Settings > CI/CD under the Continuous Integration and Delivery section

The base domain variable KUBE_INGRESS_BASE_DOMAIN follows the same order of precedence as other environment variables. If the CI/CD variable is not set and the cluster setting is left blank, the instance-wide Auto DevOps domain setting is used if set.

Auto DevOps requires a wildcard DNS A record matching the base domain(s). For a base domain of example.com, you’d need a DNS entry like:

*.example.com   3600     A     1.2.3.4

In this case, the deployed applications are served from example.com, and 1.2.3.4 is the IP address of your load balancer; generally NGINX (see requirements). Setting up the DNS record is beyond the scope of this document; check with your DNS provider for information.

Alternatively, you can use free public services like nip.io which provide automatic wildcard DNS without any configuration. For nip.io, set the Auto DevOps base domain to 1.2.3.4.nip.io.

After completing setup, all requests hit the load balancer, which routes requests to the Kubernetes pods running your application.

AWS ECS

See Auto DevOps requirements for Amazon ECS.

Enabling/Disabling Auto DevOps

When first using Auto DevOps, review the requirements to ensure all the necessary components to make full use of Auto DevOps are available. First-time users should follow the quick start guide.

GitLab.com users can enable or disable Auto DevOps only at the project level. Self-managed users can enable or disable Auto DevOps at the project, group, or instance level.

At the project level

If enabling, check that your project does not have a .gitlab-ci.yml, or if one exists, remove it.

  1. Go to your project’s Settings > CI/CD > Auto DevOps.
  2. Select the Default to Auto DevOps pipeline checkbox to enable it.
  3. (Optional, but recommended) When enabling, you can add in the base domain Auto DevOps uses to deploy your application, and choose the deployment strategy.
  4. Click Save changes for the changes to take effect.

After enabling the feature, an Auto DevOps pipeline is triggered on the master branch.

At the group level

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Only administrators and group owners can enable or disable Auto DevOps at the group level.

When enabling or disabling Auto DevOps at group level, group configuration is implicitly used for the subgroups and projects inside that group, unless Auto DevOps is specifically enabled or disabled on the subgroup or project.

To enable or disable Auto DevOps at the group level:

  1. Go to your group’s Settings > CI/CD > Auto DevOps page.
  2. Select the Default to Auto DevOps pipeline checkbox to enable it.
  3. Click Save changes for the changes to take effect.

At the instance level (Administrators only)

Even when disabled at the instance level, group owners and project maintainers can still enable Auto DevOps at the group and project level, respectively.

  1. Go to Admin Area > Settings > CI/CD > Continuous Integration and Deployment.
  2. Select Default to Auto DevOps pipeline for all projects to enable it.
  3. (Optional) You can set up the Auto DevOps base domain, for Auto Deploy and Auto Review Apps to use.
  4. Click Save changes for the changes to take effect.

Deployment strategy

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You can change the deployment strategy used by Auto DevOps by visiting your project’s Settings > CI/CD > Auto DevOps. The following options are available:

  • Continuous deployment to production: Enables Auto Deploy with master branch directly deployed to production.
  • Continuous deployment to production using timed incremental rollout: Sets the INCREMENTAL_ROLLOUT_MODE variable to timed. Production deployments execute with a 5 minute delay between each increment in rollout.
  • Automatic deployment to staging, manual deployment to production: Sets the STAGING_ENABLED and INCREMENTAL_ROLLOUT_MODE variables to 1 and manual. This means:

    • master branch is directly deployed to staging.
    • Manual actions are provided for incremental rollout to production.
noteUse the blue-green deployment technique to minimize downtime and risk.

Using multiple Kubernetes clusters

When using Auto DevOps, you can deploy different environments to different Kubernetes clusters, due to the 1:1 connection existing between them.

The Deploy Job template used by Auto DevOps currently defines 3 environment names:

  • review/ (every environment starting with review/)
  • staging
  • production

Those environments are tied to jobs using Auto Deploy, so except for the environment scope, they must have a different deployment domain. You must define a separate KUBE_INGRESS_BASE_DOMAIN variable for each of the above based on the environment.

The following table is an example of how to configure the three different clusters:

Cluster name Cluster environment scope KUBE_INGRESS_BASE_DOMAIN variable value Variable environment scope Notes
review review/* review.example.com review/* The review cluster which runs all Review Apps. * is a wildcard, used by every environment name starting with review/.
staging staging staging.example.com staging (Optional) The staging cluster which runs the deployments of the staging environments. You must enable it first.
production production example.com production The production cluster which runs the production environment deployments. You can use incremental rollouts.

To add a different cluster for each environment:

  1. Navigate to your project’s Operations > Kubernetes.
  2. Create the Kubernetes clusters with their respective environment scope, as described from the table above.
  3. After creating the clusters, navigate to each cluster and install Ingress. Wait for the Ingress IP address to be assigned.
  4. Make sure you’ve configured your DNS with the specified Auto DevOps domains.
  5. Navigate to each cluster’s page, through Operations > Kubernetes, and add the domain based on its Ingress IP address.

After completing configuration, you can test your setup by creating a merge request and verifying your application is deployed as a Review App in the Kubernetes cluster with the review/* environment scope. Similarly, you can check the other environments.

Cluster environment scope isn’t respected when checking for active Kubernetes clusters. For multi-cluster setup to work with Auto DevOps, create a fallback cluster with Cluster environment scope set to *. A new cluster isn’t required. You can use any of the clusters already added.

Limitations

The following restrictions apply.

Private registry support

No documented way of using private container registry with Auto DevOps exists. We strongly advise using GitLab Container Registry with Auto DevOps to simplify configuration and prevent any unforeseen issues.

Install applications behind a proxy

The GitLab integration with Helm does not support installing applications when behind a proxy. Users who want to do so must inject their proxy settings into the installation pods at runtime, such as by using a PodPreset:

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"