--- stage: Configure group: Configure info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/product/ux/technical-writing/#assignments --- # Stages of Auto DevOps **(FREE)** The following sections describe the stages of [Auto DevOps](index.md). Read them carefully to understand how each one works. ## Auto Build NOTE: Auto Build is not supported if Docker in Docker is not available for your GitLab Runners, like in OpenShift clusters. The OpenShift support in GitLab is tracked [in a dedicated epic](https://gitlab.com/groups/gitlab-org/-/epics/2068). Auto Build creates a build of the application using an existing `Dockerfile` or Heroku buildpacks. The resulting Docker image is pushed to the [Container Registry](../../user/packages/container_registry/index.md), and tagged with the commit SHA or tag. ### Auto Build using a Dockerfile If a project's repository contains a `Dockerfile` at its root, Auto Build uses `docker build` to create a Docker image. If you're also using Auto Review Apps and Auto Deploy, and you choose to provide your own `Dockerfile`, you must either: - Expose your application to port `5000`, as the [default Helm chart](https://gitlab.com/gitlab-org/cluster-integration/auto-deploy-image/-/tree/master/assets/auto-deploy-app) assumes this port is available. - Override the default values by [customizing the Auto Deploy Helm chart](customize.md#custom-helm-chart). ### Auto Build using Cloud Native Buildpacks > - [Introduced](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/28165) in GitLab 12.10. > - Auto Build using Cloud Native Buildpacks by default was [introduced](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/63351) in GitLab 14.0. Auto Build builds an application using a project's `Dockerfile` if present. If no `Dockerfile` is present, Auto Build builds your application using [Cloud Native Buildpacks](https://buildpacks.io) to detect and build the application into a Docker image. The feature uses the [`pack` command](https://github.com/buildpacks/pack). The default [builder](https://buildpacks.io/docs/concepts/components/builder/) is `heroku/buildpacks:18` but a different builder can be selected using the CI/CD variable `AUTO_DEVOPS_BUILD_IMAGE_CNB_BUILDER`. Each buildpack requires your project's repository to contain certain files for Auto Build to build your application successfully. The structure is specific to the builder and buildpacks you have selected. For example, when using the Heroku builder (the default), your application's root directory must contain the appropriate file for your application's language: - For Python projects, a `Pipfile` or `requirements.txt` file. - For Ruby projects, a `Gemfile` or `Gemfile.lock` file. For the requirements of other languages and frameworks, read the [Heroku buildpacks documentation](https://devcenter.heroku.com/articles/buildpacks#officially-supported-buildpacks). NOTE: Auto Test still uses Herokuish, as test suite detection is not yet part of the Cloud Native Buildpack specification. For more information, see [this issue](https://gitlab.com/gitlab-org/gitlab/-/issues/212689). #### Mount volumes into the build container > - [Introduced](https://gitlab.com/gitlab-org/cluster-integration/auto-build-image/-/merge_requests/65) in GitLab 14.2. > - Multiple volume support (or `auto-build-image` v1.6.0) [introduced](https://gitlab.com/gitlab-org/cluster-integration/auto-build-image/-/merge_requests/80) in GitLab 14.6. The variable `BUILDPACK_VOLUMES` can be used to pass volume mount definitions to the `pack` command. The mounts are passed to `pack build` using `--volume` arguments. Each volume definition can include any of the capabilities provided by `build pack` such as the host path, the target path, whether the volume is writable, and one or more volume options. Use a pipe `|` character to pass multiple volumes. Each item from the list is passed to `build back` using a separate `--volume` argument. In this example, three volumes are mounted in the container as `/etc/foo`, `/opt/foo`, and `/var/opt/foo`: ```yaml buildjob: variables: BUILDPACK_VOLUMES: /mnt/1:/etc/foo:ro|/mnt/2:/opt/foo:ro|/mnt/3:/var/opt/foo:rw ``` Read more about defining volumes in the [`pack build` documentation](https://buildpacks.io/docs/tools/pack/cli/pack_build/). ### Auto Build using Herokuish > [Replaced](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/63351) with Cloud Native Buildpacks in GitLab 14.0. Prior to GitLab 14.0, [Herokuish](https://github.com/gliderlabs/herokuish) was the default build method for projects without a `Dockerfile`. Herokuish can still be used by setting the CI/CD variable `AUTO_DEVOPS_BUILD_IMAGE_CNB_ENABLED` to `false`. NOTE: If Auto Build fails despite the project meeting the buildpack requirements, set a project CI/CD variable `TRACE=true` to enable verbose logging, which may help you troubleshoot. ### Moving from Herokuish to Cloud Native Buildpacks Builds using Cloud Native Buildpacks support the same options as builds using Herokuish, with the following caveats: - The buildpack must be a Cloud Native Buildpack. A Heroku buildpack can be converted to a Cloud Native Buildpack using Heroku's [`cnb-shim`](https://github.com/heroku/cnb-shim). - `BUILDPACK_URL` must be in a format [supported by `pack`](https://buildpacks.io/docs/app-developer-guide/specify-buildpacks/). - The `/bin/herokuish` command is not present in the built image, and prefixing commands with `/bin/herokuish procfile exec` is no longer required (nor possible). Instead, custom commands should be prefixed with `/cnb/lifecycle/launcher` to receive the correct execution environment. ## Auto Test Auto Test runs the appropriate tests for your application using [Herokuish](https://github.com/gliderlabs/herokuish) and [Heroku buildpacks](https://devcenter.heroku.com/articles/buildpacks) by analyzing your project to detect the language and framework. Several languages and frameworks are detected automatically, but if your language is not detected, you may be able to create a [custom buildpack](customize.md#custom-buildpacks). Check the [currently supported languages](#currently-supported-languages). Auto Test uses tests you already have in your application. If there are no tests, it's up to you to add them. NOTE: Not all buildpacks supported by [Auto Build](#auto-build) are supported by Auto Test. Auto Test uses [Herokuish](https://gitlab.com/gitlab-org/gitlab/-/issues/212689), *not* Cloud Native Buildpacks, and only buildpacks that implement the [Testpack API](https://devcenter.heroku.com/articles/testpack-api) are supported. ### Currently supported languages Note that not all buildpacks support Auto Test yet, as it's a relatively new enhancement. All of Heroku's [officially supported languages](https://devcenter.heroku.com/articles/heroku-ci#supported-languages) support Auto Test. The languages supported by Heroku's Herokuish buildpacks all support Auto Test, but notably the multi-buildpack does not. The supported buildpacks are: ```plaintext - heroku-buildpack-multi - heroku-buildpack-ruby - heroku-buildpack-nodejs - heroku-buildpack-clojure - heroku-buildpack-python - heroku-buildpack-java - heroku-buildpack-gradle - heroku-buildpack-scala - heroku-buildpack-play - heroku-buildpack-php - heroku-buildpack-go - buildpack-nginx ``` If your application needs a buildpack that is not in the above list, you might want to use a [custom buildpack](customize.md#custom-buildpacks). ## Auto Code Quality > [Moved](https://gitlab.com/gitlab-org/gitlab/-/issues/212499) from GitLab Starter to GitLab Free in 13.2. Auto Code Quality uses the [Code Quality image](https://gitlab.com/gitlab-org/ci-cd/codequality) to run static analysis and other code checks on the current code. After creating the report, it's uploaded as an artifact which you can later download and check out. The merge request widget also displays any [differences between the source and target branches](../../ci/testing/code_quality.md). ## Auto SAST > - Introduced in [GitLab Ultimate](https://about.gitlab.com/pricing/) 10.3. > - Select functionality made available in all tiers beginning in 13.1 Static Application Security Testing (SAST) runs static analysis on the current code, and checks for potential security issues. The Auto SAST stage requires [GitLab Runner](https://docs.gitlab.com/runner/) 11.5 or above. After creating the report, it's uploaded as an artifact which you can later download and check out. The merge request widget also displays any security warnings on [Ultimate](https://about.gitlab.com/pricing/) licenses. To learn more about [how SAST works](../../user/application_security/sast/index.md), see the documentation. ## Auto Secret Detection > - Introduced in GitLab 13.1. > - Select functionality [made available](../../user/application_security/secret_detection/index.md#features-per-tier) in all tiers in GitLab 13.3 Secret Detection uses the [Secret Detection Docker image](https://gitlab.com/gitlab-org/security-products/analyzers/secrets) to run Secret Detection on the current code, and checks for leaked secrets. Auto Secret Detection requires [GitLab Runner](https://docs.gitlab.com/runner/) 11.5 or above. After creating the report, it's uploaded as an artifact which you can later download and evaluate. The merge request widget also displays any security warnings on [Ultimate](https://about.gitlab.com/pricing/) licenses. To learn more, see [Secret Detection](../../user/application_security/secret_detection/index.md). ## Auto Dependency Scanning **(ULTIMATE)** Dependency Scanning runs analysis on the project's dependencies and checks for potential security issues. The Auto Dependency Scanning stage is skipped on licenses other than [Ultimate](https://about.gitlab.com/pricing/) and requires [GitLab Runner](https://docs.gitlab.com/runner/) 11.5 or above. After creating the report, it's uploaded as an artifact which you can later download and check out. The merge request widget displays any security warnings detected, To learn more about [Dependency Scanning](../../user/application_security/dependency_scanning/index.md), see the documentation. ## Auto License Compliance **(ULTIMATE)** > Introduced in GitLab 11.0. License Compliance uses the [License Compliance Docker image](https://gitlab.com/gitlab-org/security-products/analyzers/license-finder) to search the project dependencies for their license. The Auto License Compliance stage is skipped on licenses other than [Ultimate](https://about.gitlab.com/pricing/). After creating the report, it's uploaded as an artifact which you can later download and check out. The merge request displays any detected licenses. To learn more about [License Compliance](../../user/compliance/license_compliance/index.md), see the documentation. ## Auto Container Scanning Vulnerability static analysis for containers uses [Trivy](https://aquasecurity.github.io/trivy/latest/) to check for potential security issues in Docker images. The Auto Container Scanning stage is skipped on licenses other than [Ultimate](https://about.gitlab.com/pricing/). After creating the report, it's uploaded as an artifact which you can later download and check out. The merge request displays any detected security issues. To learn more about [Container Scanning](../../user/application_security/container_scanning/index.md), see the documentation. ## Auto Review Apps This is an optional step, since many projects don't have a Kubernetes cluster available. If the [requirements](requirements.md) are not met, the job is silently skipped. [Review Apps](../../ci/review_apps/index.md) are temporary application environments based on the branch's code so developers, designers, QA, product managers, and other reviewers can actually see and interact with code changes as part of the review process. Auto Review Apps create a Review App for each branch. Auto Review Apps deploy your application to your Kubernetes cluster only. If no cluster is available, no deployment occurs. The Review App has a unique URL based on a combination of the project ID, the branch or tag name, a unique number, and the Auto DevOps base domain, such as `13083-review-project-branch-123456.example.com`. The merge request widget displays a link to the Review App for easy discovery. When the branch or tag is deleted, such as after merging a merge request, the Review App is also deleted. Review apps are deployed using the [auto-deploy-app](https://gitlab.com/gitlab-org/cluster-integration/auto-deploy-image/-/tree/master/assets/auto-deploy-app) chart with Helm, which you can [customize](customize.md#custom-helm-chart). The application deploys into the [Kubernetes namespace](../../user/project/clusters/deploy_to_cluster.md#deployment-variables) for the environment. In GitLab 11.4 and later, [local Tiller](https://gitlab.com/gitlab-org/gitlab-foss/-/merge_requests/22036) is used. Previous versions of GitLab had a Tiller installed in the project namespace. WARNING: Your apps should *not* be manipulated outside of Helm (using Kubernetes directly). This can cause confusion with Helm not detecting the change and subsequent deploys with Auto DevOps can undo your changes. Also, if you change something and want to undo it by deploying again, Helm may not detect that anything changed in the first place, and thus not realize that it needs to re-apply the old configuration. ## Auto DAST **(ULTIMATE)** Dynamic Application Security Testing (DAST) uses the popular open source tool [OWASP ZAProxy](https://github.com/zaproxy/zaproxy) to analyze the current code and check for potential security issues. The Auto DAST stage is skipped on licenses other than [Ultimate](https://about.gitlab.com/pricing/). - On your default branch, DAST scans an application deployed specifically for that purpose unless you [override the target branch](#overriding-the-dast-target). The app is deleted after DAST has run. - On feature branches, DAST scans the [review app](#auto-review-apps). After the DAST scan completes, any security warnings are displayed on the [Security Dashboard](../../user/application_security/security_dashboard/index.md) and the merge request widget. To learn more about [Dynamic Application Security Testing](../../user/application_security/dast/index.md), see the documentation. ### Overriding the DAST target To use a custom target instead of the auto-deployed review apps, set a `DAST_WEBSITE` CI/CD variable to the URL for DAST to scan. WARNING: If [DAST Full Scan](../../user/application_security/dast/index.md#full-scan) is enabled, GitLab strongly advises **not** to set `DAST_WEBSITE` to any staging or production environment. DAST Full Scan actively attacks the target, which can take down your application and lead to data loss or corruption. ### Disabling Auto DAST You can disable DAST: - On all branches by setting the `DAST_DISABLED` CI/CD variable to `"true"`. - Only on the default branch by setting the `DAST_DISABLED_FOR_DEFAULT_BRANCH` variable to `"true"`. - Only on feature branches by setting `REVIEW_DISABLED` variable to `"true"`. This also disables the Review App. ## Auto Browser Performance Testing **(PREMIUM)** > Introduced in GitLab 10.4. Auto [Browser Performance Testing](../../ci/testing/browser_performance_testing.md) measures the browser performance of a web page with the [Sitespeed.io container](https://hub.docker.com/r/sitespeedio/sitespeed.io/), creates a JSON report including the overall performance score for each page, and uploads the report as an artifact. By default, it tests the root page of your Review and Production environments. If you want to test additional URLs, add the paths to a file named `.gitlab-urls.txt` in the root directory, one file per line. For example: ```plaintext / /features /direction ``` Any browser performance differences between the source and target branches are also [shown in the merge request widget](../../ci/testing/browser_performance_testing.md). ## Auto Load Performance Testing **(PREMIUM)** > Introduced in GitLab 13.2. Auto [Load Performance Testing](../../ci/testing/load_performance_testing.md) measures the server performance of an application with the [k6 container](https://hub.docker.com/r/loadimpact/k6/), creates a JSON report including several key result metrics, and uploads the report as an artifact. Some initial setup is required. A [k6](https://k6.io/) test needs to be written that's tailored to your specific application. The test also needs to be configured so it can pick up the environment's dynamic URL via a CI/CD variable. Any load performance test result differences between the source and target branches are also [shown in the merge request widget](../../user/project/merge_requests/widgets.md). ## Auto Deploy > [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/216008) in GitLab 13.6, you have the choice to deploy to [Amazon Elastic Compute Cloud (Amazon EC2)](https://aws.amazon.com/ec2/) in addition to a Kubernetes cluster. Auto Deploy is an optional step for Auto DevOps. If the [requirements](requirements.md) are not met, the job is skipped. After a branch or merge request is merged into the project's default branch, Auto Deploy deploys the application to a `production` environment in the Kubernetes cluster, with a namespace based on the project name and unique project ID, such as `project-4321`. Auto Deploy does not include deployments to staging or canary environments by default, but the [Auto DevOps template](https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/gitlab/ci/templates/Auto-DevOps.gitlab-ci.yml) contains job definitions for these tasks if you want to enable them. You can use [CI/CD variables](customize.md#cicd-variables) to automatically scale your pod replicas, and to apply custom arguments to the Auto DevOps `helm upgrade` commands. This is an easy way to [customize the Auto Deploy Helm chart](customize.md#custom-helm-chart). Helm uses the [auto-deploy-app](https://gitlab.com/gitlab-org/cluster-integration/auto-deploy-image/-/tree/master/assets/auto-deploy-app) chart to deploy the application into the [Kubernetes namespace](../../user/project/clusters/deploy_to_cluster.md#deployment-variables) for the environment. In GitLab 11.4 and later, a [local Tiller](https://gitlab.com/gitlab-org/gitlab-foss/-/merge_requests/22036) is used. Previous versions of GitLab had a Tiller installed in the project namespace. WARNING: Your apps should *not* be manipulated outside of Helm (using Kubernetes directly). This can cause confusion with Helm not detecting the change and subsequent deploys with Auto DevOps can undo your changes. Also, if you change something and want to undo it by deploying again, Helm may not detect that anything changed in the first place, and thus not realize that it needs to re-apply the old configuration. WARNING: GitLab 14.0 [renews the Auto Deploy template](https://gitlab.com/gitlab-org/gitlab/-/issues/232788). This might cause an unexpected failure on your Auto DevOps project due to the breaking changes on the v2 `auto-deploy-image`. Follow [the upgrade guide](upgrading_auto_deploy_dependencies.md#upgrade-guide) to upgrade your environments before upgrading to GitLab 14.0. ### GitLab deploy tokens > [Introduced](https://gitlab.com/gitlab-org/gitlab-foss/-/merge_requests/19507) in GitLab 11.0. [GitLab Deploy Tokens](../../user/project/deploy_tokens/index.md#gitlab-deploy-token) are created for internal and private projects when Auto DevOps is enabled, and the Auto DevOps settings are saved. You can use a Deploy Token for permanent access to the registry. After you manually revoke the GitLab Deploy Token, it isn't automatically created. If the GitLab Deploy Token can't be found, `CI_REGISTRY_PASSWORD` is used. NOTE: `CI_REGISTRY_PASSWORD` is only valid during deployment. Kubernetes can successfully pull the container image during deployment, but if the image must be pulled again, such as after pod eviction, Kubernetes cannot do so as it attempts to fetch the image using `CI_REGISTRY_PASSWORD`. ### Kubernetes 1.16+ > - [Introduced](https://gitlab.com/gitlab-org/charts/auto-deploy-app/-/merge_requests/51) in GitLab 12.8. > - Support for deploying a PostgreSQL version that supports Kubernetes 1.16+ was [introduced](https://gitlab.com/gitlab-org/cluster-integration/auto-deploy-image/-/merge_requests/49) in GitLab 12.9. > - Supported out of the box for new deployments as of GitLab 13.0. WARNING: The default value for the `deploymentApiVersion` setting was changed from `extensions/v1beta` to `apps/v1` in [GitLab 13.0](https://gitlab.com/gitlab-org/charts/auto-deploy-app/-/issues/47). In Kubernetes 1.16 and later, a number of [APIs were removed](https://kubernetes.io/blog/2019/07/18/api-deprecations-in-1-16/), including support for `Deployment` in the `extensions/v1beta1` version. To use Auto Deploy on a Kubernetes 1.16+ cluster: 1. If you are deploying your application for the first time in GitLab 13.0 or later, no configuration should be required. 1. In GitLab 12.10 and earlier, set the following in the [`.gitlab/auto-deploy-values.yaml` file](customize.md#customize-values-for-helm-chart): ```yaml deploymentApiVersion: apps/v1 ``` 1. If you have an in-cluster PostgreSQL database installed with `AUTO_DEVOPS_POSTGRES_CHANNEL` set to `1`, follow the [guide to upgrade PostgreSQL](upgrading_postgresql.md). 1. If you are deploying your application for the first time and are using GitLab 12.9 or 12.10, set `AUTO_DEVOPS_POSTGRES_CHANNEL` to `2`. WARNING: In GitLab 12.9 and 12.10, opting into `AUTO_DEVOPS_POSTGRES_CHANNEL` version `2` deletes the version `1` PostgreSQL database. Follow the [guide to upgrading PostgreSQL](upgrading_postgresql.md) to back up and restore your database before opting into version `2` (On GitLab 13.0, an additional CI/CD variable is required to trigger the database deletion). ### Migrations > [Introduced](https://gitlab.com/gitlab-org/gitlab-foss/-/merge_requests/21955) in GitLab 11.4 You can configure database initialization and migrations for PostgreSQL to run within the application pod by setting the project CI/CD variables `DB_INITIALIZE` and `DB_MIGRATE` respectively. If present, `DB_INITIALIZE` is run as a shell command within an application pod as a Helm post-install hook. As some applications can't run without a successful database initialization step, GitLab deploys the first release without the application deployment, and only the database initialization step. After the database initialization completes, GitLab deploys a second release with the application deployment as normal. Note that a post-install hook means that if any deploy succeeds, `DB_INITIALIZE` isn't processed thereafter. If present, `DB_MIGRATE` is run as a shell command within an application pod as a Helm pre-upgrade hook. For example, in a Rails application in an image built with [Cloud Native Buildpacks](#auto-build-using-cloud-native-buildpacks): - `DB_INITIALIZE` can be set to `RAILS_ENV=production /cnb/lifecycle/launcher bin/rails db:setup` - `DB_MIGRATE` can be set to `RAILS_ENV=production /cnb/lifecycle/launcher bin/rails db:migrate` Unless your repository contains a `Dockerfile`, your image is built with Cloud Native Buildpacks, and you must prefix commands run in these images with `/cnb/lifecycle/launcher`, (or `/bin/herokuish procfile exec` when using [Herokuish](#auto-build-using-herokuish)) to replicate the environment where your application runs. ### Upgrade auto-deploy-app Chart You can upgrade the auto-deploy-app chart by following the [upgrade guide](upgrading_auto_deploy_dependencies.md). ### Workers Some web applications must run extra deployments for "worker processes". For example, Rails applications commonly use separate worker processes to run background tasks like sending emails. The [default Helm chart](https://gitlab.com/gitlab-org/cluster-integration/auto-deploy-image/-/tree/master/assets/auto-deploy-app) used in Auto Deploy [has support for running worker processes](https://gitlab.com/gitlab-org/charts/auto-deploy-app/-/merge_requests/9). To run a worker, you must ensure the worker can respond to the standard health checks, which expect a successful HTTP response on port `5000`. For [Sidekiq](https://github.com/mperham/sidekiq), you can use the [`sidekiq_alive` gem](https://rubygems.org/gems/sidekiq_alive). To work with Sidekiq, you must also ensure your deployments have access to a Redis instance. Auto DevOps doesn't deploy this instance for you, so you must: - Maintain your own Redis instance. - Set a CI/CD variable `K8S_SECRET_REDIS_URL`, which is the URL of this instance, to ensure it's passed into your deployments. After configuring your worker to respond to health checks, run a Sidekiq worker for your Rails application. You can enable workers by setting the following in the [`.gitlab/auto-deploy-values.yaml` file](customize.md#customize-values-for-helm-chart): ```yaml workers: sidekiq: replicaCount: 1 command: - /cnb/lifecycle/launcher - sidekiq preStopCommand: - /cnb/lifecycle/launcher - sidekiqctl - quiet terminationGracePeriodSeconds: 60 ``` ### Running commands in the container Applications built with [Auto Build](#auto-build) using Herokuish, the default unless your repository contains [a custom Dockerfile](#auto-build-using-a-dockerfile), may require commands to be wrapped as follows: ```shell /bin/herokuish procfile exec $COMMAND ``` Some of the reasons you may need to wrap commands: - Attaching using `kubectl exec`. - Using the GitLab [Web Terminal](../../ci/environments/index.md#web-terminals-deprecated). For example, to start a Rails console from the application root directory, run: ```shell /bin/herokuish procfile exec bin/rails c ``` When using Cloud Native Buildpacks, instead of `/bin/herokuish procfile exec`, use ```shell /cnb/lifecycle/launcher $COMMAND ``` ## Auto Monitoring After your application deploys, Auto Monitoring helps you monitor your application's server and response metrics right out of the box. Auto Monitoring uses [Prometheus](../../user/project/integrations/prometheus.md) to retrieve system metrics, such as CPU and memory usage, directly from [Kubernetes](../../user/project/integrations/prometheus_library/kubernetes.md), and response metrics, such as HTTP error rates, latency, and throughput, from the [NGINX server](../../user/project/integrations/prometheus_library/nginx_ingress.md). The metrics include: - **Response Metrics:** latency, throughput, error rate - **System Metrics:** CPU utilization, memory utilization To use Auto Monitoring: 1. [Install and configure the Auto DevOps requirements](requirements.md). 1. [Enable Auto DevOps](index.md#enable-or-disable-auto-devops), if you haven't done already. 1. On the left sidebar, select **CI/CD > Pipelines**. 1. Select **Run pipeline**. 1. After the pipeline finishes successfully, open the [monitoring dashboard for a deployed environment](../../ci/environments/index.md#monitor-environments) to view the metrics of your deployed application. To view the metrics of the whole Kubernetes cluster, on the left sidebar, select **Monitor > Metrics**. ![Auto Metrics](img/auto_monitoring.png) ## Auto Code Intelligence > [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/216438) in GitLab 13.5. [GitLab code intelligence](../../user/project/code_intelligence.md) adds code navigation features common to interactive development environments (IDE), including type signatures, symbol documentation, and go-to definition. It's powered by [LSIF](https://lsif.dev/) and available for Auto DevOps projects using Go language only. GitLab plans to add support for more languages as more LSIF indexers become available. You can follow the [code intelligence epic](https://gitlab.com/groups/gitlab-org/-/epics/4212) for updates. This stage is enabled by default. You can disable it by adding the `CODE_INTELLIGENCE_DISABLED` CI/CD variable. Read more about [disabling Auto DevOps jobs](../../topics/autodevops/customize.md#disable-jobs).