Merge branch 'docs-use-variables-deploy-policy-for-staging-and-production' into 'master'
Include documentation about STAGING_ENABLED variable for AutoDevops See merge request gitlab-org/gitlab-ce!18675
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---
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title: Add documentation about how to use variables to define deploy policies for
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staging/production environments
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merge_request: 18675
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author:
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type: other
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@ -495,6 +495,7 @@ also be customized, and you can easily use a [custom buildpack](#custom-buildpac
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| `POSTGRES_PASSWORD` | The PostgreSQL password; defaults to `testing-password`. Set it to use a custom password. |
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| `POSTGRES_DB` | The PostgreSQL database name; defaults to the value of [`$CI_ENVIRONMENT_SLUG`](../../ci/variables/README.md#predefined-variables-environment-variables). Set it to use a custom database name. |
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| `BUILDPACK_URL` | The buildpack's full URL. It can point to either Git repositories or a tarball URL. For Git repositories, it is possible to point to a specific `ref`, for example `https://github.com/heroku/heroku-buildpack-ruby.git#v142` |
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| `STAGING_ENABLED` | From GitLab 10.8, this variable can be used to define a [deploy policy for staging and production environments](#deploy-policy-for-staging-and-production-environments). |
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TIP: **Tip:**
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Set up the replica variables using a
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internalPort: 5000
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```
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#### Deploy policy for staging and production environments
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> [Introduced](https://gitlab.com/gitlab-org/gitlab-ci-yml/merge_requests/160)
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in GitLab 10.8.
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The normal behavior of Auto DevOps is to use Continuous Deployment, pushing
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automatically to the `production` environment every time a new pipeline is run
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on the default branch. However, there are cases where you might want to use a
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staging environment and deploy to production manually. For this scenario, the
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`STAGING_ENABLED` environment variable was introduced.
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If `STAGING_ENABLED` is defined in your project (e.g., set `STAGING_ENABLED` to
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`1` as a secret variable), then the application will be automatically deployed
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to a `staging` environment, and a `production_manual` job will be created for
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you when you're ready to manually deploy to production.
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## Currently supported languages
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NOTE: **Note:**
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