164 lines
8.3 KiB
Markdown
164 lines
8.3 KiB
Markdown
---
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stage: Release
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group: Release
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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
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---
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# Deployment safety
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Deployment jobs can be more sensitive than other jobs in a pipeline,
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and might need to be treated with extra care. GitLab has several features
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that help maintain deployment security and stability.
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You can:
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- [Restrict write-access to a critical environment](#restrict-write-access-to-a-critical-environment)
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- [Prevent deployments during deploy freeze windows](#prevent-deployments-during-deploy-freeze-windows)
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- [Set appropriate roles to your project](#setting-appropriate-roles-to-your-project)
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- [Protect production secrets](#protect-production-secrets)
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- [Separate project for deployments](#separate-project-for-deployments)
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If you are using a continuous deployment workflow and want to ensure that concurrent deployments to the same environment do not happen, you should enable the following options:
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- [Ensure only one deployment job runs at a time](#ensure-only-one-deployment-job-runs-at-a-time)
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- [Skip outdated deployment jobs](#skip-outdated-deployment-jobs)
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## Restrict write access to a critical environment
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By default, environments can be modified by any team member that has [Developer permission or higher](../../user/permissions.md#project-members-permissions).
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If you want to restrict write access to a critical environment (for example a `production` environment),
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you can set up [protected environments](protected_environments.md).
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## Ensure only one deployment job runs at a time
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Pipeline jobs in GitLab CI/CD run in parallel, so it's possible that two deployment
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jobs in two different pipelines attempt to deploy to the same environment at the same
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time. This is not desired behavior as deployments should happen sequentially.
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You can ensure only one deployment job runs at a time with the [`resource_group` keyword](../yaml/README.md#resource_group) in your `.gitlab-ci.yml`.
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For example:
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```yaml
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deploy:
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script: deploy-to-prod
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resource_group: prod
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```
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Example of a problematic pipeline flow **before** using the resource group:
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1. `deploy` job in Pipeline-A starts running.
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1. `deploy` job in Pipeline-B starts running. *This is a concurrent deployment that could cause an unexpected result.*
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1. `deploy` job in Pipeline-A finished.
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1. `deploy` job in Pipeline-B finished.
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The improved pipeline flow **after** using the resource group:
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1. `deploy` job in Pipeline-A starts running.
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1. `deploy` job in Pipeline-B attempts to start, but waits for the first `deploy` job to finish.
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1. `deploy` job in Pipeline-A finishes.
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1. `deploy` job in Pipeline-B starts running.
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For more information, see [`resource_group` keyword in `.gitlab-ci.yml`](../yaml/README.md#resource_group).
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## Skip outdated deployment jobs
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The execution order of pipeline jobs can vary from run to run, which could cause
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undesired behavior. For example, a deployment job in a newer pipeline could
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finish before a deployment job in an older pipeline.
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This creates a race condition where the older deployment finished later,
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overwriting the "newer" deployment.
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You can ensure that older deployment jobs are cancelled automatically when a newer deployment
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runs by enabling the [Skip outdated deployment jobs](../pipelines/settings.md#skip-outdated-deployment-jobs) feature.
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Example of a problematic pipeline flow **before** enabling Skip outdated deployment jobs:
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1. Pipeline-A is created on the default branch.
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1. Later, Pipeline-B is created on the default branch (with a newer commit SHA).
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1. The `deploy` job in Pipeline-B finishes first, and deploys the newer code.
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1. The `deploy` job in Pipeline-A finished later, and deploys the older code, **overwriting** the newer (latest) deployment.
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The improved pipeline flow **after** enabling Skip outdated deployment jobs:
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1. Pipeline-A is created on the default branch.
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1. Later, Pipeline-B is created on the default branch (with a newer SHA).
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1. The `deploy` job in Pipeline-B finishes first, and deploys the newer code.
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1. The `deploy` job in Pipeline-A is automatically cancelled, so that it doesn't overwrite the deployment from the newer pipeline.
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## Prevent deployments during deploy freeze windows
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If you want to prevent deployments for a particular period, for example during a planned
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vacation period when most employees are out, you can set up a [Deploy Freeze](../../user/project/releases/index.md#prevent-unintentional-releases-by-setting-a-deploy-freeze).
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During a deploy freeze period, no deployment can be executed. This is helpful to
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ensure that deployments do not happen unexpectedly.
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## Setting appropriate roles to your project
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GitLab supports several different roles that can be assigned to your project members. See
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[Project members permissions](../../user/permissions.md#project-members-permissions)
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for an explanation of these roles and the permissions of each.
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<div class="video-fallback">
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See the video: <a href="https://www.youtube.com/watch?v=Mq3C1KveDc0">How to secure your CD pipelines</a>.
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</div>
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<figure class="video-container">
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<iframe src="https://www.youtube.com/embed/Mq3C1KveDc0" frameborder="0" allowfullscreen="true"> </iframe>
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</figure>
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## Protect production secrets
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Production secrets are needed to deploy successfully. For example, when deploying to the cloud,
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cloud providers require these secrets to connect to their services. In the project settings, you can
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define and protect CI/CD variables for these secrets. [Protected variables](../variables/README.md#protect-a-cicd-variable)
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are only passed to pipelines running on [protected branches](../../user/project/protected_branches.md)
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or [protected tags](../../user/project/protected_tags.md).
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The other pipelines don't get the protected variable. You can also
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[scope variables to specific environments](../variables/where_variables_can_be_used.md#variables-with-an-environment-scope).
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We recommend that you use protected variables on protected environments to make sure that the
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secrets aren't exposed unintentionally. You can also define production secrets on the
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[runner side](../runners/configure_runners.md#prevent-runners-from-revealing-sensitive-information).
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This prevents other maintainers from reading the secrets and makes sure that the runner only runs on
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protected branches.
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For more information, see [pipeline security](../pipelines/index.md#pipeline-security-on-protected-branches).
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## Separate project for deployments
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All project maintainers have access to production secrets. If you need to limit the number of users
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that can deploy to a production environment, you can create a separate project and configure a new
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permission model that isolates the CD permissions from the original project and prevents the
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original project's maintainers from accessing the production secret and CD configuration. You can
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connect the CD project to your development projects by using [multi-project pipelines](../multi_project_pipelines.md).
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## Protect `gitlab-ci.yml` from change
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A `.gitlab-ci.yml` may contain rules to deploy an application to the production server. This
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deployment usually runs automatically after pushing a merge request. To prevent developers from
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changing the `gitlab-ci.yml`, you can define it in a different repository. The configuration can
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reference a file in another project with a completely different set of permissions (similar to
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[separating a project for deployments](#separate-project-for-deployments)).
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In this scenario, the `gitlab-ci.yml` is publicly accessible, but can only be edited by users with
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appropriate permissions in the other project.
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For more information, see [Custom CI/CD configuration path](../pipelines/settings.md#custom-cicd-configuration-file).
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## Troubleshooting
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### Pipelines jobs fail with `The deployment job is older than the previously succeeded deployment job...`
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This is caused by the [Skip outdated deployment jobs](../pipelines/settings.md#skip-outdated-deployment-jobs) feature.
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If you have multiple jobs for the same environment (including non-deployment jobs), you might encounter this problem, for example:
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```yaml
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build:service-a:
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environment:
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name: production
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build:service-b:
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environment:
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name: production
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```
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The [Skip outdated deployment jobs](../pipelines/settings.md#skip-outdated-deployment-jobs) might
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not work well with this configuration, and must be disabled.
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