- Auto DevOps banner
- Custom buildpacks
- Custom Dockerfiles
- Custom container image
- Extend Auto DevOps with the API
- Forward CI/CD variables to the build environment
- Custom Helm chart
-
Customize
.gitlab-ci.yml
- Use multiple Kubernetes clusters
- Customizing the Kubernetes namespace
- Use images hosted in a local Docker registry
- PostgreSQL database support
Customize Auto DevOps
You can customize components of Auto DevOps to fit your needs. For example, you can:
- Add custom buildpacks, Dockerfiles, and Helm charts.
- Enable staging and canary deployments with a custom CI/CD configuration.
- Extend Auto DevOps with the GitLab API.
Auto DevOps banner
When Auto DevOps is not enabled, a banner displays for users with at least the Maintainer role:
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"
-
Custom buildpacks
You can customize your buildpacks when either:
- The automatic buildpack detection fails for your project.
- You need more control over your build.
Customize buildpacks with Cloud Native Buildpacks
Specify either:
- The CI/CD variable
BUILDPACK_URL
with any ofpack
’s URI specification formats. - A
project.toml
project descriptor with the buildpacks you would like to include.
Multiple buildpacks
Because Auto Test cannot use the .buildpacks
file, Auto DevOps does
not support multiple buildpacks. 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
.
To use only a single custom buildpack, you should provide the project CI/CD variable
BUILDPACK_URL
instead.
Custom Dockerfiles
If you have a Dockerfile in the root of your project repository, Auto DevOps builds a Docker image based on the Dockerfile. This can be faster than using a buildpack. It can also 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.
Pass arguments to docker build
You can pass arguments to docker build
with 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
:
- Set
AUTO_DEVOPS_BUILD_IMAGE_EXTRA_ARGS
to--build-arg=RUBY_VERSION=alpine
. -
Add the following to a custom Dockerfile:
ARG RUBY_VERSION=latest FROM ruby:$RUBY_VERSION # ... put your stuff here
To pass complex values like spaces and newlines, use Base64 encoding. Complex, unencoded values can cause issues with character escaping.
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
, include only Jobs/Deploy.gitlab-ci.yml
, or
disable 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
. For more information, see
Setting the default branch image.
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:
-
Use API calls to access settings,
which include
auto_devops_enabled
, to enable Auto DevOps on projects by default. - Create a new project.
- Edit groups.
- Edit projects.
Forward CI/CD variables to the build environment
To forward CI/CD variables to the build environment, add the names of the variables
you want to forward to the AUTO_DEVOPS_BUILD_IMAGE_FORWARDED_CI_VARIABLES
CI/CD variable.
Separate multiple variables with commas.
For example, to forward the variables CI_COMMIT_SHA
and CI_ENVIRONMENT_NAME
:
variables:
AUTO_DEVOPS_BUILD_IMAGE_FORWARDED_CI_VARIABLES: CI_COMMIT_SHA,CI_ENVIRONMENT_NAME
If you use buildpacks, the forwarded variables are available automatically as environment variables.
If you use a Dockerfile:
-
To activate the experimental Dockerfile syntax, add the following to your Dockerfile:
# syntax = docker/dockerfile:experimental
-
To make secrets available in any
RUN $COMMAND
in theDockerfile
, mount the secret file and source it before you run$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 a chart in your project repository or by specifying a project CI/CD variable:
-
Bundled chart - If your project has a
./chart
directory with aChart.yaml
file in it, Auto DevOps detects the chart and uses it instead of the default chart. -
Project variable - Create a project CI/CD variable
AUTO_DEVOPS_CHART
with the URL of a custom chart. You can also create five project variables:-
AUTO_DEVOPS_CHART_REPOSITORY
- The URL of a custom chart repository. -
AUTO_DEVOPS_CHART
- The path to the chart. -
AUTO_DEVOPS_CHART_REPOSITORY_INSECURE
- Set to a non-empty value to add a--insecure-skip-tls-verify
argument to the Helm commands. -
AUTO_DEVOPS_CHART_CUSTOM_ONLY
- Set to a non-empty value to use only a custom chart. By default, the latest chart is downloaded from GitLab. -
AUTO_DEVOPS_CHART_VERSION
- The version of the deployment chart.
-
Customize Helm chart values
To override the default values in the values.yaml
file in the
default Helm chart, either:
- Add a file named
.gitlab/auto-deploy-values.yaml
to your repository. This file is used by default for Helm upgrades. - Add a file with a different name or path to the repository. Set the
HELM_UPGRADE_VALUES_FILE
CI/CD variable with the path and name of the file.
Some values cannot be overridden with the options above, but this issue proposes to change this behavior.
To override settings like replicaCount
, use the REPLICAS
build and deployment CI/CD variable.
Customize helm upgrade
The auto-deploy-image uses the helm upgrade
command.
To customize this command, pass it options with the HELM_UPGRADE_EXTRA_ARGS
CI/CD variable.
For example, to disable pre- and post-upgrade hooks when helm upgrade
runs:
variables:
HELM_UPGRADE_EXTRA_ARGS: --no-hooks
For a full list of options, see the official helm upgrade
documentation.
Limit a Helm chart to one environment
To limit a custom chart to one environment, add the environment scope to your CI/CD variables. For more information, see Limit the environment scope of CI/CD variables.
Customize .gitlab-ci.yml
Auto DevOps is highly customizable because the Auto DevOps template
is an implementation of a .gitlab-ci.yml
file.
The template uses only features available to any implementation of .gitlab-ci.yml
.
To add custom behaviors to the CI/CD pipeline used by Auto DevOps:
-
To the root of your repository, add a
.gitlab-ci.yml
file with the following contents:include: - template: Auto-DevOps.gitlab-ci.yml
-
Add your changes to the
.gitlab-ci.yml
file. Your changes are merged with the Auto DevOps template. For more information about howinclude
merges your changes, see theinclude
documentation.
To remove behaviors from the Auto DevOps pipeline:
- Copy the Auto DevOps template into your project.
- Edit your copy of the template as needed.
Use individual components of Auto DevOps
If you only require a subset of the features offered by Auto DevOps,
you can include individual Auto DevOps jobs in your own
.gitlab-ci.yml
. Be sure to also define the stage required by each
job in your .gitlab-ci.yml
file.
For example, to use Auto Build, you can add the following to
your .gitlab-ci.yml
:
stages:
- build
include:
- template: Jobs/Build.gitlab-ci.yml
For a list of available jobs, see the Auto DevOps template.
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 its environment scope.
Use images hosted in a local Docker registry
You can configure many Auto DevOps jobs to run in an offline environment:
- Copy the required Auto DevOps Docker images from Docker Hub and
registry.gitlab.com
to their local GitLab container registry. -
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 that require a database, PostgreSQL is provisioned by default. The credentials to access the database are preconfigured.
To customize the credentials, set the associated
CI/CD variables. You can also
define a custom DATABASE_URL
:
postgres://user:password@postgres-host:postgres-port/postgres-database
Upgrading PostgreSQL
GitLab uses chart version 8.2.1 to provision PostgreSQL by default. You can set the version from 0.7.1 to 8.2.1.
If you use an older chart version, you should migrate your database to the newer PostgreSQL.
The CI/CD variable AUTO_DEVOPS_POSTGRES_CHANNEL
that controls default provisioned
PostgreSQL changed to 2
in GitLab 13.0.
To use the old PostgreSQL, set the AUTO_DEVOPS_POSTGRES_CHANNEL
variable to
1
.
Customize values for PostgreSQL Helm Chart
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.
Use external PostgreSQL database providers
Auto DevOps provides out-of-the-box support for a PostgreSQL container for production environments. However, you might want to use an external managed provider like AWS Relational Database Service.
To use an external managed provider:
-
Disable the built-in PostgreSQL installation for the required environments with environment-scoped CI/CD variables. Because the built-in PostgreSQL setup for review apps and staging is sufficient, you might only need to disable the installation for
production
. -
Define the
DATABASE_URL
variable as an environment-scoped variable available to your application. This should be a URL in the following format:postgres://user:password@postgres-host:postgres-port/postgres-database
-
Ensure your Kubernetes cluster has network access to where PostgreSQL is hosted.