gitlab-org--gitlab-foss/doc/topics/autodevops/customize.md

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Customizing Auto DevOps (FREE)

While Auto DevOps provides great defaults to get you started, you can customize almost everything to fit your needs. Auto DevOps offers everything from custom buildpacks, to Dockerfiles, and Helm charts. You can even copy the complete CI/CD configuration into your project to enable staging and canary deployments, manage Auto DevOps with GitLab APIs, and more.

Custom buildpacks

If the automatic buildpack detection fails for your project, or if you need more control over your build, you can customize the buildpacks used for the build.

Custom buildpacks with Cloud Native Buildpacks

Introduced in GitLab 12.10.

Specify either:

Custom buildpacks with Herokuish

Specify either:

  • The CI/CD variable BUILDPACK_URL.
  • A .buildpacks file at the root of your project, containing one buildpack URL per line.

The buildpack URL can point to either a Git repository URL or a tarball URL. For Git repositories, you can point to a specific Git reference (such as commit SHA, tag name, or branch name) by appending #<ref> to the Git repository URL. For example:

  • The tag v142: https://github.com/heroku/heroku-buildpack-ruby.git#v142.
  • The branch mybranch: https://github.com/heroku/heroku-buildpack-ruby.git#mybranch.
  • The commit SHA f97d8a8ab49: https://github.com/heroku/heroku-buildpack-ruby.git#f97d8a8ab49.

Multiple buildpacks

Using multiple buildpacks is not fully supported by Auto DevOps, because Auto Test can't use the .buildpacks file. The buildpack heroku-buildpack-multi, used in the backend to parse the .buildpacks file, does not provide the necessary commands bin/test-compile and bin/test.

If your goal is to use only a single custom buildpack, you should provide the project CI/CD variable BUILDPACK_URL instead.

Custom Dockerfile

Support for DOCKERFILE_PATH was introduced in GitLab 13.2

If your project has a Dockerfile in the root of the project repository, Auto DevOps builds a Docker image based on the Dockerfile, rather than using buildpacks. This can be much faster and result in smaller images, especially if your Dockerfile is based on Alpine.

If you set the DOCKERFILE_PATH CI/CD variable, Auto Build looks for a Dockerfile there instead.

Passing arguments to docker build

Arguments can be passed to the docker build command using the AUTO_DEVOPS_BUILD_IMAGE_EXTRA_ARGS project CI/CD variable. For example, to build a Docker image based on based on the ruby:alpine instead of the default ruby:latest:

  1. Set AUTO_DEVOPS_BUILD_IMAGE_EXTRA_ARGS to --build-arg=RUBY_VERSION=alpine.

  2. Add the following to a custom Dockerfile:

    ARG RUBY_VERSION=latest
    FROM ruby:$RUBY_VERSION
    
    # ... put your stuff here
    

Use Base64 encoding if you need to pass complex values, such as newlines and spaces. Left unencoded, complex values like these can cause escaping issues due to how Auto DevOps uses the arguments.

WARNING: Avoid passing secrets as Docker build arguments if possible, as they may be persisted in your image. See this discussion of best practices with secrets for details.

Custom container image

By default, Auto Deploy deploys a container image built and pushed to the GitLab registry by Auto Build. You can override this behavior by defining specific variables:

Entry Default Can be overridden by
Image Path $CI_REGISTRY_IMAGE/$CI_COMMIT_REF_SLUG for branch pipelines. $CI_REGISTRY_IMAGE for tag pipelines. $CI_APPLICATION_REPOSITORY
Image Tag $CI_COMMIT_SHA for branch pipelines. $CI_COMMIT_TAG for tag pipelines. $CI_APPLICATION_TAG

These variables also affect Auto Build and Auto Container Scanning. If you don't want to build and push an image to $CI_APPLICATION_REPOSITORY:$CI_APPLICATION_TAG, consider including only Jobs/Deploy.gitlab-ci.yml, or disabling the build jobs.

If you use Auto Container Scanning and set a value for $CI_APPLICATION_REPOSITORY, then you should also update $CS_DEFAULT_BRANCH_IMAGE. See Setting the default branch image for more details.

Here is an example setup in your .gitlab-ci.yml:

variables:
  CI_APPLICATION_REPOSITORY: <your-image-repository>
  CI_APPLICATION_TAG: <the-tag>

Extend Auto DevOps with the API

You can extend and manage your Auto DevOps configuration with GitLab APIs:

Forward CI/CD variables to the build environment

Introduced in GitLab 12.3, but available in GitLab 12.0 and later.

CI/CD variables can be forwarded into the build environment using the AUTO_DEVOPS_BUILD_IMAGE_FORWARDED_CI_VARIABLES CI/CD variable. The forwarded variables should be specified by name in a comma-separated list. For example, to forward the variables CI_COMMIT_SHA and CI_ENVIRONMENT_NAME, set AUTO_DEVOPS_BUILD_IMAGE_FORWARDED_CI_VARIABLES to CI_COMMIT_SHA,CI_ENVIRONMENT_NAME.

  • When using Buildpacks, the forwarded variables are available automatically as environment variables.

  • When using a Dockerfile, the following additional steps are required:

    1. Activate the experimental Dockerfile syntax by adding the following code to the top of the file:

      # syntax = docker/dockerfile:experimental
      
    2. To make secrets available in any RUN $COMMAND in the Dockerfile, mount the secret file and source it prior to running $COMMAND:

      RUN --mount=type=secret,id=auto-devops-build-secrets . /run/secrets/auto-devops-build-secrets && $COMMAND
      

When AUTO_DEVOPS_BUILD_IMAGE_FORWARDED_CI_VARIABLES is set, Auto DevOps enables the experimental Docker BuildKit feature to use the --secret flag.

Custom Helm Chart

Auto DevOps uses Helm to deploy your application to Kubernetes. You can override the Helm chart used by bundling up a chart into your project repository or by specifying a project CI/CD variable:

  • Bundled chart - If your project has a ./chart directory with a Chart.yaml file in it, Auto DevOps detects the chart and uses it instead of the default chart, enabling you to control exactly how your application is deployed.
  • Project variable - Create a project CI/CD variable AUTO_DEVOPS_CHART with the URL of a custom chart to use, or create two project variables: AUTO_DEVOPS_CHART_REPOSITORY with the URL of a custom chart repository, and AUTO_DEVOPS_CHART with the path to the chart.

Customize values for Helm Chart

Introduced in GitLab 12.6, .gitlab/auto-deploy-values.yaml is used by default for Helm upgrades.

You can override the default values in the values.yaml file in the default Helm chart by either:

  • Adding a file named .gitlab/auto-deploy-values.yaml to your repository, which is automatically used, if found.
  • Adding a file with a different name or path to the repository, and setting the HELM_UPGRADE_VALUES_FILE CI/CD variable with the path and name.

Some values can not be overridden with the options above. Settings like replicaCount should instead be overridden with the REPLICAS build and deployment CI/CD variable. Follow this issue for more information.

NOTE: For GitLab 12.5 and earlier, use the HELM_UPGRADE_EXTRA_ARGS variable to override the default chart values by setting HELM_UPGRADE_EXTRA_ARGS to --values <my-values.yaml>.

Customize the helm upgrade command

You can customize the helm upgrade command used in the auto-deploy-image by passing options to the command with the HELM_UPGRADE_EXTRA_ARGS CI/CD variable. For example, set the value of HELM_UPGRADE_EXTRA_ARGS to --no-hooks to disable pre-upgrade and post-upgrade hooks when the command is executed.

See the official documentation for the full list of options.

Custom Helm chart per environment

You can specify the use of a custom Helm chart per environment by scoping the CI/CD variable to the desired environment. See Limit environment scope of CI/CD variables.

Customizing .gitlab-ci.yml

Auto DevOps is completely customizable because the Auto DevOps template is just an implementation of a .gitlab-ci.yml file, and uses only features available to any implementation of .gitlab-ci.yml.

To modify the CI/CD pipeline used by Auto DevOps, include the template, and customize it as needed by adding a .gitlab-ci.yml file to the root of your repository containing the following:

include:
  - template: Auto-DevOps.gitlab-ci.yml

Add your changes, and your additions are merged with the Auto DevOps template using the behavior described for include.

If you need to specifically remove a part of the file, you can also copy and paste the contents of the Auto DevOps template into your project and edit it as needed.

Use multiple Kubernetes clusters

See Multiple Kubernetes clusters for Auto DevOps.

Customizing the Kubernetes namespace

In GitLab 14.5 and earlier, you could use environment:kubernetes:namespace to specify a namespace for the environment. However, this feature was deprecated, along with certificate-based integration.

You should now use the KUBE_NAMESPACE environment variable and limit the environments it is available for.

Using components of Auto DevOps

If you only require a subset of the features offered by Auto DevOps, you can include individual Auto DevOps jobs into your own .gitlab-ci.yml. Each component job relies on a stage that should be defined in the .gitlab-ci.yml that includes the template.

For example, to make use of Auto Build, you can add the following to your .gitlab-ci.yml:

stages:
  - build

include:
  - template: Jobs/Build.gitlab-ci.yml

See the Auto DevOps template for information on available jobs.

WARNING: Auto DevOps templates using the only or except syntax have switched to the rules syntax, starting in GitLab 13.0. If your .gitlab-ci.yml extends these Auto DevOps templates and override the only or except keywords, you must migrate your templates to use the rules syntax after the base template is migrated to use the rules syntax. For users who cannot migrate just yet, you can alternatively pin your templates to the GitLab 12.10 based templates.

Use images hosted in a local Docker registry

You can configure many Auto DevOps jobs to run in an offline environment:

  1. Copy the required Auto DevOps Docker images from Docker Hub and registry.gitlab.com to their local GitLab container registry.

  2. After the images are hosted and available in a local registry, edit .gitlab-ci.yml to point to the locally-hosted images. For example:

    include:
      - template: Auto-DevOps.gitlab-ci.yml
    
    variables:
      REGISTRY_URL: "registry.gitlab.example"
    
    build:
      image: "$REGISTRY_URL/docker/auto-build-image:v0.6.0"
      services:
        - name: "$REGISTRY_URL/greg/docker/docker:20.10.16-dind"
          command: ['--tls=false', '--host=tcp://0.0.0.0:2375']
    

PostgreSQL database support

To support applications requiring a database, PostgreSQL is provisioned by default. The credentials to access the database are preconfigured, but can be customized by setting the associated CI/CD variables. You can use these credentials to define a DATABASE_URL:

postgres://user:password@postgres-host:postgres-port/postgres-database

Upgrading PostgresSQL

WARNING: The CI/CD variable AUTO_DEVOPS_POSTGRES_CHANNEL that controls default provisioned PostgreSQL was changed to 2 in GitLab 13.0. To keep using the old PostgreSQL, set the AUTO_DEVOPS_POSTGRES_CHANNEL variable to 1.

The version of the chart used to provision PostgreSQL:

  • Is 8.2.1 in GitLab 13.0 and later, but can be set back to 0.7.1 if needed.
  • Can be set to from 0.7.1 to 8.2.1 in GitLab 12.9 and 12.10.
  • Is 0.7.1 in GitLab 12.8 and earlier.

GitLab encourages users to migrate their database to the newer PostgreSQL.

Customize values for PostgreSQL Helm Chart

Introduced in auto-deploy-image v2, in GitLab 13.8.

To set custom values, do one of the following:

  • Add a file named .gitlab/auto-deploy-postgres-values.yaml to your repository. If found, this file is used automatically. This file is used by default for PostgreSQL Helm upgrades.
  • Add a file with a different name or path to the repository, and set the POSTGRES_HELM_UPGRADE_VALUES_FILE environment variable with the path and name.
  • Set the POSTGRES_HELM_UPGRADE_EXTRA_ARGS environment variable.

Using external PostgreSQL database providers

While Auto DevOps provides out-of-the-box support for a PostgreSQL container for production environments, for some use cases, it may not be sufficiently secure or resilient, and you may want to use an external managed provider (such as AWS Relational Database Service) for PostgreSQL.

You must define environment-scoped CI/CD variables for POSTGRES_ENABLED and DATABASE_URL in your project's CI/CD settings:

  1. Disable the built-in PostgreSQL installation for the required environments using environment-scoped CI/CD variables. For this use case, it's likely that only production must be added to this list. The built-in PostgreSQL setup for Review Apps and staging is sufficient.

    Auto Metrics

  2. Define the DATABASE_URL variable as an environment-scoped variable that is available to your application. This should be a URL in the following format:

    postgres://user:password@postgres-host:postgres-port/postgres-database
    

You must ensure that your Kubernetes cluster has network access to wherever PostgreSQL is hosted.

CI/CD variables

The following variables can be used for setting up the Auto DevOps domain, providing a custom Helm chart, or scaling your application. PostgreSQL can also be customized, and you can use a custom buildpack.

Build and deployment

The following table lists CI/CD variables related to building and deploying applications.

CI/CD Variable Description
ADDITIONAL_HOSTS Fully qualified domain names specified as a comma-separated list that are added to the Ingress hosts.
<ENVIRONMENT>_ADDITIONAL_HOSTS For a specific environment, the fully qualified domain names specified as a comma-separated list that are added to the Ingress hosts. This takes precedence over ADDITIONAL_HOSTS.
AUTO_BUILD_IMAGE_VERSION Customize the image version used for the build job. See list of versions.
AUTO_DEPLOY_IMAGE_VERSION Customize the image version used for Kubernetes deployment jobs. See list of versions.
AUTO_DEVOPS_ATOMIC_RELEASE As of GitLab 13.0, Auto DevOps uses --atomic for Helm deployments by default. Set this variable to false to disable the use of --atomic
AUTO_DEVOPS_BUILD_IMAGE_CNB_ENABLED Set to false to use Herokuish instead of Cloud Native Buildpacks with Auto Build. More details.
AUTO_DEVOPS_BUILD_IMAGE_CNB_BUILDER The builder used when building with Cloud Native Buildpacks. The default builder is heroku/buildpacks:18. More details.
AUTO_DEVOPS_BUILD_IMAGE_EXTRA_ARGS Extra arguments to be passed to the docker build command. Note that using quotes doesn't prevent word splitting. More details.
AUTO_DEVOPS_BUILD_IMAGE_FORWARDED_CI_VARIABLES A comma-separated list of CI/CD variable names to be forwarded to the build environment (the buildpack builder or docker build).
AUTO_DEVOPS_BUILD_IMAGE_CNB_PORT In GitLab 15.0 and later, port exposed by the generated Docker image. Set to false to prevent exposing any ports. Defaults to 5000.
AUTO_DEVOPS_CHART Helm Chart used to deploy your apps. Defaults to the one provided by GitLab.
AUTO_DEVOPS_CHART_REPOSITORY Helm Chart repository used to search for charts. Defaults to https://charts.gitlab.io.
AUTO_DEVOPS_CHART_REPOSITORY_NAME Used to set the name of the Helm repository. Defaults to gitlab.
AUTO_DEVOPS_CHART_REPOSITORY_USERNAME Used to set a username to connect to the Helm repository. Defaults to no credentials. Also set AUTO_DEVOPS_CHART_REPOSITORY_PASSWORD.
AUTO_DEVOPS_CHART_REPOSITORY_PASSWORD Used to set a password to connect to the Helm repository. Defaults to no credentials. Also set AUTO_DEVOPS_CHART_REPOSITORY_USERNAME.
AUTO_DEVOPS_CHART_REPOSITORY_PASS_CREDENTIALS From GitLab 14.2, set to a non-empty value to enable forwarding of the Helm repository credentials to the chart server when the chart artifacts are on a different host than repository.
AUTO_DEVOPS_DEPLOY_DEBUG From GitLab 13.1, if this variable is present, Helm outputs debug logs.
AUTO_DEVOPS_ALLOW_TO_FORCE_DEPLOY_V<N> From auto-deploy-image v1.0.0, if this variable is present, a new major version of chart is forcibly deployed. For more information, see Ignore warnings and continue deploying.
BUILDPACK_URL Buildpack's full URL. Must point to a URL supported by Pack or Herokuish.
CANARY_ENABLED Used to define a deploy policy for canary environments.
BUILDPACK_VOLUMES Specify one or more Buildpack volumes to mount. Use a pipe `
CANARY_PRODUCTION_REPLICAS Number of canary replicas to deploy for Canary Deployments in the production environment. Takes precedence over CANARY_REPLICAS. Defaults to 1.
CANARY_REPLICAS Number of canary replicas to deploy for Canary Deployments. Defaults to 1.
CI_APPLICATION_REPOSITORY The repository of container image being built or deployed, $CI_APPLICATION_REPOSITORY:$CI_APPLICATION_TAG. For more details, read Custom container image.
CI_APPLICATION_TAG The tag of the container image being built or deployed, $CI_APPLICATION_REPOSITORY:$CI_APPLICATION_TAG. For more details, read Custom container image.
DAST_AUTO_DEPLOY_IMAGE_VERSION Customize the image version used for DAST deployments on the default branch. Should usually be the same as AUTO_DEPLOY_IMAGE_VERSION. See list of versions.
DOCKERFILE_PATH From GitLab 13.2, allows overriding the default Dockerfile path for the build stage
HELM_RELEASE_NAME From GitLab 12.1, allows the helm release name to be overridden. Can be used to assign unique release names when deploying multiple projects to a single namespace.
HELM_UPGRADE_VALUES_FILE From GitLab 12.6, allows the helm upgrade values file to be overridden. Defaults to .gitlab/auto-deploy-values.yaml.
HELM_UPGRADE_EXTRA_ARGS Allows extra options in helm upgrade commands when deploying the application. Note that using quotes doesn't prevent word splitting.
INCREMENTAL_ROLLOUT_MODE If present, can be used to enable an incremental rollout of your application for the production environment. Set to manual for manual deployment jobs or timed for automatic rollout deployments with a 5 minute delay each one.
K8S_SECRET_* Any variable prefixed with K8S_SECRET_ is made available by Auto DevOps as environment variables to the deployed application.
KUBE_CONTEXT From GitLab 14.5, can be used to select a context to use from KUBECONFIG. When KUBE_CONTEXT is blank, the default context in KUBECONFIG (if any) is used. A context must be selected when used with the agent for Kubernetes.
KUBE_INGRESS_BASE_DOMAIN Can be used to set a domain per cluster. See cluster domains for more information.
KUBE_NAMESPACE The namespace used for deployments. When using certificate-based clusters, this value should not be overwritten directly.
KUBECONFIG The kubeconfig to use for deployments. User-provided values take priority over GitLab-provided values.
PRODUCTION_REPLICAS Number of replicas to deploy in the production environment. Takes precedence over REPLICAS and defaults to 1. For zero downtime upgrades, set to 2 or greater.
REPLICAS Number of replicas to deploy. Defaults to 1. Change this variable instead of modifying replicaCount.
ROLLOUT_RESOURCE_TYPE Allows specification of the resource type being deployed when using a custom Helm chart. Default value is deployment.
ROLLOUT_STATUS_DISABLED From GitLab 12.0, used to disable rollout status check because it does not support all resource types, for example, cronjob.
STAGING_ENABLED Used to define a deploy policy for staging and production environments.
TRACE Set to any value to make Helm commands produce verbose output. You can use this setting to help diagnose Auto DevOps deployment problems.

NOTE: After you set up your replica variables using a project CI/CD variable, you can scale your application by redeploying it.

WARNING: You should not scale your application using Kubernetes directly. This can cause confusion with Helm not detecting the change, and subsequent deploys with Auto DevOps can undo your changes.

Database

The following table lists CI/CD variables related to the database.

CI/CD Variable Description
DB_INITIALIZE Used to specify the command to run to initialize the application's PostgreSQL database. Runs inside the application pod.
DB_MIGRATE Used to specify the command to run to migrate the application's PostgreSQL database. Runs inside the application pod.
POSTGRES_ENABLED Whether PostgreSQL is enabled. Defaults to true. Set to false to disable the automatic deployment of PostgreSQL.
POSTGRES_USER The PostgreSQL user. Defaults to user. Set it to use a custom username.
POSTGRES_PASSWORD The PostgreSQL password. Defaults to testing-password. Set it to use a custom password.
POSTGRES_DB The PostgreSQL database name. Defaults to the value of $CI_ENVIRONMENT_SLUG. Set it to use a custom database name.
POSTGRES_VERSION Tag for the postgres Docker image to use. Defaults to 9.6.16 for tests and deployments as of GitLab 13.0 (previously 9.6.2). If AUTO_DEVOPS_POSTGRES_CHANNEL is set to 1, deployments uses the default version 9.6.2.
POSTGRES_HELM_UPGRADE_VALUES_FILE In GitLab 13.8 and later, and when using auto-deploy-image v2, this variable allows the helm upgrade values file for PostgreSQL to be overridden. Defaults to .gitlab/auto-deploy-postgres-values.yaml.
POSTGRES_HELM_UPGRADE_EXTRA_ARGS In GitLab 13.8 and later, and when using auto-deploy-image v2, this variable allows extra PostgreSQL options in helm upgrade commands when deploying the application. Note that using quotes doesn't prevent word splitting.
POSTGRES_CHART_REPOSITORY Helm Chart repository used to search for PostgreSQL chart. Defaults to https://raw.githubusercontent.com/bitnami/charts/eb5f9a9513d987b519f0ecd732e7031241c50328/bitnami.
POSTGRES_CHART_VERSION Helm Chart version used for PostgreSQL chart. Defaults to 8.2.1.

Disable jobs

The following table lists variables used to disable jobs.

Job Name CI/CDVariable GitLab version Description
.fuzz_base COVFUZZ_DISABLED From GitLab 13.2 Read more about how .fuzz_base provide capability for your own jobs. If the variable is present, your jobs aren't created.
apifuzzer_fuzz API_FUZZING_DISABLED From GitLab 13.3 If the variable is present, the job isn't created.
build BUILD_DISABLED If the variable is present, the job isn't created.
build_artifact BUILD_DISABLED If the variable is present, the job isn't created.
bandit-sast SAST_DISABLED If the variable is present, the job isn't created.
brakeman-sast SAST_DISABLED If the variable is present, the job isn't created.
canary CANARY_ENABLED This manual job is created if the variable is present.
cluster_image_scanning CLUSTER_IMAGE_SCANNING_DISABLED If the variable is present, the job isn't created.
code_intelligence CODE_INTELLIGENCE_DISABLED From GitLab 13.6 If the variable is present, the job isn't created.
code_quality CODE_QUALITY_DISABLED If the variable is present, the job isn't created.
container_scanning CONTAINER_SCANNING_DISABLED If the variable is present, the job isn't created.
dast DAST_DISABLED If the variable is present, the job isn't created.
dast_environment_deploy DAST_DISABLED_FOR_DEFAULT_BRANCH or DAST_DISABLED From GitLab 12.4 If either variable is present, the job isn't created.
dependency_scanning DEPENDENCY_SCANNING_DISABLED If the variable is present, the job isn't created.
eslint-sast SAST_DISABLED If the variable is present, the job isn't created.
flawfinder-sast SAST_DISABLED If the variable is present, the job isn't created.
gemnasium-dependency_scanning DEPENDENCY_SCANNING_DISABLED If the variable is present, the job isn't created.
gemnasium-maven-dependency_scanning DEPENDENCY_SCANNING_DISABLED If the variable is present, the job isn't created.
gemnasium-python-dependency_scanning DEPENDENCY_SCANNING_DISABLED If the variable is present, the job isn't created.
gosec-sast SAST_DISABLED If the variable is present, the job isn't created.
kubesec-sast SAST_DISABLED If the variable is present, the job isn't created.
license_management LICENSE_MANAGEMENT_DISABLED GitLab 12.7 and earlier If the variable is present, the job isn't created. Job deprecated from GitLab 12.8
license_scanning LICENSE_MANAGEMENT_DISABLED From GitLab 12.8 If the variable is present, the job isn't created.
load_performance LOAD_PERFORMANCE_DISABLED From GitLab 13.2 If the variable is present, the job isn't created.
nodejs-scan-sast SAST_DISABLED If the variable is present, the job isn't created.
performance PERFORMANCE_DISABLED GitLab 13.12 and earlier Browser performance. If the variable is present, the job isn't created. Replaced by browser_performance.
browser_performance BROWSER_PERFORMANCE_DISABLED From GitLab 14.0 Browser performance. If the variable is present, the job isn't created. Replaces performance.
phpcs-security-audit-sast SAST_DISABLED If the variable is present, the job isn't created.
pmd-apex-sast SAST_DISABLED If the variable is present, the job isn't created.
review REVIEW_DISABLED If the variable is present, the job isn't created.
review:stop REVIEW_DISABLED Manual job. If the variable is present, the job isn't created.
sast SAST_DISABLED If the variable is present, the job isn't created.
sast:container CONTAINER_SCANNING_DISABLED If the variable is present, the job isn't created.
secret_detection SECRET_DETECTION_DISABLED From GitLab 13.1 If the variable is present, the job isn't created.
secret_detection_default_branch SECRET_DETECTION_DISABLED From GitLab 13.2 If the variable is present, the job isn't created.
security-code-scan-sast SAST_DISABLED If the variable is present, the job isn't created.
secrets-sast SAST_DISABLED If the variable is present, the job isn't created.
sobelaw-sast SAST_DISABLED If the variable is present, the job isn't created.
stop_dast_environment DAST_DISABLED_FOR_DEFAULT_BRANCH or DAST_DISABLED From GitLab 12.4 If either variable is present, the job isn't created.
spotbugs-sast SAST_DISABLED If the variable is present, the job isn't created.
test TEST_DISABLED If the variable is present, the job isn't created.
staging STAGING_ENABLED The job is created if the variable is present.
stop_review REVIEW_DISABLED If the variable is present, the job isn't created.

Application secret variables

Some applications need to define secret variables that are accessible by the deployed application. Auto DevOps detects CI/CD variables starting with K8S_SECRET_, and makes these prefixed variables available to the deployed application as environment variables.

To configure your application variables:

  1. On the top bar, select Main menu > Projects and find your project.

  2. On the left sidebar, select Settings > CI/CD.

  3. Expand Variables.

  4. Create a CI/CD variable, ensuring the key is prefixed with K8S_SECRET_. For example, you can create a variable with key K8S_SECRET_RAILS_MASTER_KEY.

  5. Run an Auto DevOps pipeline, either by manually creating a new pipeline or by pushing a code change to GitLab.

Auto DevOps pipelines take your application secret variables to populate a Kubernetes secret. This secret is unique per environment. When deploying your application, the secret is loaded as environment variables in the container running the application. Following the example above, you can see the secret below containing the RAILS_MASTER_KEY variable.

$ kubectl get secret production-secret -n minimal-ruby-app-54 -o yaml

apiVersion: v1
data:
  RAILS_MASTER_KEY: MTIzNC10ZXN0
kind: Secret
metadata:
  creationTimestamp: 2018-12-20T01:48:26Z
  name: production-secret
  namespace: minimal-ruby-app-54
  resourceVersion: "429422"
  selfLink: /api/v1/namespaces/minimal-ruby-app-54/secrets/production-secret
  uid: 57ac2bfd-03f9-11e9-b812-42010a9400e4
type: Opaque

Environment variables are generally considered immutable in a Kubernetes pod. If you update an application secret without changing any code, then manually create a new pipeline, any running application pods don't receive the updated secrets. To update the secrets, either:

  • Push a code update to GitLab to force the Kubernetes deployment to recreate pods.
  • Manually delete running pods to cause Kubernetes to create new pods with updated secrets.

Variables with multi-line values are not currently supported due to limitations with the current Auto DevOps scripting environment.

Advanced replica variables setup

Apart from the two replica-related variables for production mentioned above, you can also use other variables for different environments.

The Kubernetes' label named track, GitLab CI/CD environment names, and the replicas environment variable are combined into the format TRACK_ENV_REPLICAS, enabling you to define your own variables for scaling the pod's replicas:

  • TRACK: The capitalized value of the track Kubernetes label in the Helm Chart app definition. If not set, it isn't taken into account to the variable name.
  • ENV: The capitalized environment name of the deploy job, set in .gitlab-ci.yml.

In the example below, the environment's name is qa, and it deploys the track foo, which results in an environment variable named FOO_QA_REPLICAS:

QA testing:
  stage: deploy
  environment:
    name: qa
  script:
    - deploy foo

The track foo being referenced must also be defined in the application's Helm chart, like:

replicaCount: 1
image:
  repository: gitlab.example.com/group/project
  tag: stable
  pullPolicy: Always
  secrets:
    - name: gitlab-registry
application:
  track: foo
  tier: web
service:
  enabled: true
  name: web
  type: ClusterIP
  url: http://my.host.com/
  externalPort: 5000
  internalPort: 5000

Deploy policy for staging and production environments

NOTE: You can also set this inside your project's settings.

The normal behavior of Auto DevOps is to use continuous deployment, pushing automatically to the production environment every time a new pipeline is run on the default branch. However, there are cases where you might want to use a staging environment, and deploy to production manually. For this scenario, the STAGING_ENABLED CI/CD variable was introduced.

If you define STAGING_ENABLED with a non-empty value, then GitLab automatically deploys the application to a staging environment, and creates a production_manual job for you when you're ready to manually deploy to production.

Deploy policy for canary environments (PREMIUM)

You can use a canary environment before deploying any changes to production.

If you define CANARY_ENABLED with a non-empty value, then two manual jobs are created:

  • canary - Deploys the application to the canary environment.
  • production_manual - Manually deploys the application to production.

Incremental rollout to production (PREMIUM)

NOTE: You can also set this inside your project's settings.

When you're ready to deploy a new version of your app to production, you may want to use an incremental rollout to replace just a few pods with the latest code to check how the application is behaving before manually increasing the rollout up to 100%.

If INCREMENTAL_ROLLOUT_MODE is set to manual in your project, then instead of the standard production job, 4 different manual jobs are created:

  1. rollout 10%
  2. rollout 25%
  3. rollout 50%
  4. rollout 100%

The percentage is based on the REPLICAS CI/CD variable, and defines the number of pods you want to have for your deployment. If the value is 10, and you run the 10% rollout job, there is 1 new pod and 9 old ones.

To start a job, select the play icon ({play}) next to the job's name. You're not required to go from 10% to 100%, you can jump to whatever job you want. You can also scale down by running a lower percentage job, just before hitting 100%. Once you get to 100%, you can't scale down, and you'd have to roll back by redeploying the old version using the rollback button in the environment page.

Below, you can see how the pipeline appears if the rollout or staging variables are defined.

Without INCREMENTAL_ROLLOUT_MODE and without STAGING_ENABLED:

Staging and rollout disabled

Without INCREMENTAL_ROLLOUT_MODE and with STAGING_ENABLED:

Staging enabled

With INCREMENTAL_ROLLOUT_MODE set to manual and without STAGING_ENABLED:

Rollout enabled

With INCREMENTAL_ROLLOUT_MODE set to manual and with STAGING_ENABLED

Rollout and staging enabled

WARNING: This configuration is deprecated, and is scheduled to be removed in the future.

Timed incremental rollout to production (PREMIUM)

NOTE: You can also set this inside your project's settings.

This configuration is based on incremental rollout to production.

Everything behaves the same way, except:

  • To enable it, set the INCREMENTAL_ROLLOUT_MODE CI/CD variable to timed.

  • Instead of the standard production job, the following jobs are created with a 5 minute delay between each:

    1. timed rollout 10%
    2. timed rollout 25%
    3. timed rollout 50%
    4. timed rollout 100%

Auto DevOps banner

The following Auto DevOps banner displays for users with Maintainer or greater permissions on new projects when Auto DevOps is not enabled:

Auto DevOps banner

The banner can be disabled for:

  • A user, when they dismiss it themselves.
  • A project, by explicitly disabling Auto DevOps.
  • An entire GitLab instance:
    • By an administrator running the following in a Rails console:

      Feature.enable(:auto_devops_banner_disabled)
      
    • Through the REST API with an administrator access token:

      curl --data "value=true" --header "PRIVATE-TOKEN: <personal_access_token>" "https://gitlab.example.com/api/v4/features/auto_devops_banner_disabled"