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Commit 3beaba3e authored by Marcel Amirault's avatar Marcel Amirault Committed by Evan Read
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Docs: Fix all anchors related to auto-devops

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doc/administration/index.md
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@@ -130,7 +130,7 @@ Learn how to install, configure, update, and maintain your GitLab instance.
- [Job traces](job_traces.md): Information about the job traces (logs).
- [Register Shared and specific Runners](../ci/runners/README.md#registering-a-shared-runner): Learn how to register and configure Shared and specific Runners to your own instance.
- [Shared Runners pipelines quota](../user/admin_area/settings/continuous_integration.md#shared-runners-pipeline-minutes-quota): Limit the usage of pipeline minutes for Shared Runners.
- [Enable/disable Auto DevOps](../topics/autodevops/index.md#enabling-auto-devops): Enable or disable Auto DevOps for your instance.
- [Enable/disable Auto DevOps](../topics/autodevops/index.md#enablingdisabling-auto-devops): Enable or disable Auto DevOps for your instance.
 
## Git configuration options
 
doc/topics/autodevops/index.md
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@@ -13,7 +13,7 @@ Starting with GitLab 11.3, the Auto DevOps pipeline is enabled by default for al
projects. If it has not been explicitly enabled for the project, Auto DevOps will be automatically
disabled on the first pipeline failure. Your project will continue to use an alternative
[CI/CD configuration file](../../ci/yaml/README.md) if one is found. A GitLab
administrator can [change this setting](../../user/admin_area/settings/continuous_integration.html#auto-devops)
administrator can [change this setting](../../user/admin_area/settings/continuous_integration.html#auto-devops-core-only)
in the admin area.
 
With Auto DevOps, the software development process becomes easier to set up
@@ -114,7 +114,7 @@ To make full use of Auto DevOps, you will need:
will need Prometheus installed somewhere (inside or outside your cluster) and
configured to scrape your Kubernetes cluster. To get response metrics
(in addition to system metrics), you need to
[configure Prometheus to monitor NGINX](../../user/project/integrations/prometheus_library/nginx_ingress.md#configuring-prometheus-to-monitor-for-nginx-ingress-metrics).
[configure Prometheus to monitor NGINX](../../user/project/integrations/prometheus_library/nginx_ingress.md#configuring-nginx-ingress-monitoring).
The [Prometheus service](../../user/project/integrations/prometheus.md)
integration needs to be enabled for the project, or enabled as a
[default service template](../../user/project/integrations/services_templates.md)
@@ -166,7 +166,7 @@ them to the Kubernetes pods that run your application(s).
 
When using Auto DevOps, you may want to deploy different environments to
different Kubernetes clusters. This is possible due to the 1:1 connection that
[exists between them](../../user/project/clusters/index.md#multiple-kubernetes-clusters).
[exists between them](../../user/project/clusters/index.md#multiple-kubernetes-clusters-premium).
 
In the [Auto DevOps template](https://gitlab.com/gitlab-org/gitlab-ce/blob/master/lib/gitlab/ci/templates/Auto-DevOps.gitlab-ci.yml)
(used behind the scenes by Auto DevOps), there are currently 3 defined environment names that you need to know:
@@ -179,7 +179,7 @@ Those environments are tied to jobs that use [Auto Deploy](#auto-deploy), so
except for the environment scope, they would also need to have a different
domain they would be deployed to. This is why you need to define a separate
`KUBE_INGRESS_BASE_DOMAIN` variable for all the above
[based on the environment](../../ci/variables/README.md#limiting-environment-scopes-of-variables).
[based on the environment](https://docs.gitlab.com/ee/ci/variables/index.html#limiting-environment-scopes-of-variables-premium).
 
The following table is an example of how the three different clusters would
be configured.
@@ -188,7 +188,7 @@ be configured.
| ------------ | -------------- | ----------------------------- | ------------- | ------ |
| review | `review/*` | `review.example.com` | `review/*` | The review cluster which will run all [Review Apps](../../ci/review_apps/index.md). `*` is a wildcard, which means it will be used by every environment name starting with `review/`. |
| staging | `staging` | `staging.example.com` | `staging` | (Optional) The staging cluster which will run the deployments of the staging environments. You need to [enable it first](#deploy-policy-for-staging-and-production-environments). |
| production | `production` | `example.com` | `production` | The production cluster which will run the deployments of the production environment. You can use [incremental rollouts](#incremental-rollout-to-production). |
| production | `production` | `example.com` | `production` | The production cluster which will run the deployments of the production environment. You can use [incremental rollouts](#incremental-rollout-to-production-premium). |
 
To add a different cluster for each environment:
 
@@ -269,12 +269,12 @@ The available options are:
- **Continuous deployment to production**: Enables [Auto Deploy](#auto-deploy)
with `master` branch directly deployed to production.
- **Continuous deployment to production using timed incremental rollout**: Sets the
[`INCREMENTAL_ROLLOUT_MODE`](#timed-incremental-rollout-to-production) variable
[`INCREMENTAL_ROLLOUT_MODE`](#timed-incremental-rollout-to-production-premium) variable
to `timed`, and production deployment will be executed with a 5 minute delay between
each increment in rollout.
- **Automatic deployment to staging, manual deployment to production**: Sets the
[`STAGING_ENABLED`](#deploy-policy-for-staging-and-production-environments) and
[`INCREMENTAL_ROLLOUT_MODE`](#incremental-rollout-to-production) variables
[`INCREMENTAL_ROLLOUT_MODE`](#incremental-rollout-to-production-premium) variables
to `1` and `manual`. This means:
 
- `master` branch is directly deployed to staging.
@@ -503,7 +503,7 @@ Auto Deploy doesn't include deployments to staging or canary by default, but the
[Auto DevOps template] contains job definitions for these tasks if you want to
enable them.
 
You can make use of [environment variables](#helm-chart-variables) to automatically
You can make use of [environment variables](#environment-variables) to automatically
scale your pod replicas.
 
It's important to note that when a project is deployed to a Kubernetes cluster,
@@ -581,7 +581,7 @@ The metrics include:
 
In order to make use of monitoring you need to:
 
1. [Deploy Prometheus](../../user/project/integrations/prometheus.md#configuring-your-own-prometheus-server-within-kubernetes) into your Kubernetes cluster
1. [Deploy Prometheus](../../user/project/integrations/prometheus.md) into your Kubernetes cluster
1. If you would like response metrics, ensure you are running at least version
0.9.0 of NGINX Ingress and
[enable Prometheus metrics](https://github.com/kubernetes/ingress-nginx/blob/master/docs/examples/customization/custom-vts-metrics-prometheus/nginx-vts-metrics-conf.yaml).
@@ -684,7 +684,7 @@ also be customized, and you can easily use a [custom buildpack](#custom-buildpac
 
| **Variable** | **Description** |
| ------------ | --------------- |
| `AUTO_DEVOPS_DOMAIN` | The [Auto DevOps domain](#auto-devops-domain). By default, set automatically by the [Auto DevOps setting](#enabling-auto-devops). This variable is deprecated and [is scheduled to be removed](https://gitlab.com/gitlab-org/gitlab-ce/issues/56959). Use `KUBE_INGRESS_BASE_DOMAIN` instead. |
| `AUTO_DEVOPS_DOMAIN` | The [Auto DevOps domain](#auto-devops-base-domain). By default, set automatically by the [Auto DevOps setting](#enablingdisabling-auto-devops). This variable is deprecated and [is scheduled to be removed](https://gitlab.com/gitlab-org/gitlab-ce/issues/56959). Use `KUBE_INGRESS_BASE_DOMAIN` instead. |
| `AUTO_DEVOPS_CHART` | The Helm Chart used to deploy your apps; defaults to the one [provided by GitLab](https://gitlab.com/charts/auto-deploy-app). |
| `AUTO_DEVOPS_CHART_REPOSITORY` | The Helm Chart repository used to search for charts; defaults to `https://charts.gitlab.io`. |
| `REPLICAS` | The number of replicas to deploy; defaults to 1. |
@@ -703,8 +703,8 @@ also be customized, and you can easily use a [custom buildpack](#custom-buildpac
| `DB_INITIALIZE` | From GitLab 11.4, this variable can be used to specify the command to run to initialize the application's PostgreSQL database. It runs inside the application pod. |
| `DB_MIGRATE` | From GitLab 11.4, this variable can be used to specify the command to run to migrate the application's PostgreSQL database. It runs inside the application pod. |
| `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). |
| `CANARY_ENABLED` | From GitLab 11.0, this variable can be used to define a [deploy policy for canary environments](#deploy-policy-for-canary-environments). |
| `INCREMENTAL_ROLLOUT_MODE`| From GitLab 11.4, this variable, if present, can be used to enable an [incremental rollout](#incremental-rollout-to-production) of your application for the production environment.<br/>Set to: <ul><li>`manual`, for manual deployment jobs.</li><li>`timed`, for automatic rollout deployments with a 5 minute delay each one.</li></ul> |
| `CANARY_ENABLED` | From GitLab 11.0, this variable can be used to define a [deploy policy for canary environments](#deploy-policy-for-canary-environments-premium). |
| `INCREMENTAL_ROLLOUT_MODE`| From GitLab 11.4, this variable, if present, can be used to enable an [incremental rollout](#incremental-rollout-to-production-premium) of your application for the production environment.<br/>Set to: <ul><li>`manual`, for manual deployment jobs.</li><li>`timed`, for automatic rollout deployments with a 5 minute delay each one.</li></ul> |
| `TEST_DISABLED` | From GitLab 11.0, this variable can be used to disable the `test` job. If the variable is present, the job will not be created. |
| `CODE_QUALITY_DISABLED` | From GitLab 11.0, this variable can be used to disable the `codequality` job. If the variable is present, the job will not be created. |
| `SAST_DISABLED` | From GitLab 11.0, this variable can be used to disable the `sast` job. If the variable is present, the job will not be created. |
@@ -938,7 +938,7 @@ TIP: **Tip:**
You can also set this inside your [project's settings](#deployment-strategy).
 
This configuration based on
[incremental rollout to production](#incremental-rollout-to-production).
[incremental rollout to production](#incremental-rollout-to-production-premium).
 
Everything behaves the same way, except:
 
doc/topics/autodevops/quick_start_guide.md
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@@ -159,15 +159,15 @@ In the **test** stage, GitLab runs various checks on the application:
- The `test` job runs unit and integration tests by detecting the language and
framework ([Auto Test](index.md#auto-test))
- The `code_quality` job checks the code quality and is allowed to fail
([Auto Code Quality](index.md#auto-code-quality)) **[STARTER]**
([Auto Code Quality](index.md#auto-code-quality-starter)) **[STARTER]**
- The `container_scanning` job checks the Docker container if it has any
vulnerabilities and is allowed to fail ([Auto Container Scanning](index.md#auto-container-scanning))
- The `dependency_scanning` job checks if the application has any dependencies
susceptible to vulnerabilities and is allowed to fail ([Auto Dependency Scanning](index.md#auto-dependency-scanning)) **[ULTIMATE]**
susceptible to vulnerabilities and is allowed to fail ([Auto Dependency Scanning](index.md#auto-dependency-scanning-ultimate)) **[ULTIMATE]**
- The `sast` job runs static analysis on the current code to check for potential
security issues and is allowed to fail([Auto SAST](index.md#auto-sast)) **[ULTIMATE]**
security issues and is allowed to fail([Auto SAST](index.md#auto-sast-ultimate)) **[ULTIMATE]**
- The `license_management` job searches the application's dependencies to determine each of their
licenses and is allowed to fail ([Auto License Management](index.md#auto-license-management)) **[ULTIMATE]**
licenses and is allowed to fail ([Auto License Management](index.md#auto-license-management-ultimate)) **[ULTIMATE]**
 
NOTE: **Note:**
As you might have noticed, all jobs except `test` are allowed to fail in the
@@ -178,7 +178,7 @@ deploys the application in Kubernetes ([Auto Deploy](index.md#auto-deploy)).
 
Lastly, in the **performance** stage, some performance tests will run
on the deployed application
([Auto Browser Performance Testing](index.md#auto-browser-performance-testing)). **[PREMIUM]**
([Auto Browser Performance Testing](index.md#auto-browser-performance-testing-premium)). **[PREMIUM]**
 
---
 
@@ -285,8 +285,8 @@ all within GitLab. Despite its automatic nature, Auto DevOps can also be configu
and customized to fit your workflow. Here are some helpful resources for further reading:
 
1. [Auto DevOps](index.md)
1. [Multiple Kubernetes clusters](index.md#using-multiple-kubernetes-clusters) **[PREMIUM]**
1. [Incremental rollout to production](index.md#incremental-rollout-to-production) **[PREMIUM]**
1. [Multiple Kubernetes clusters](index.md#using-multiple-kubernetes-clusters-premium) **[PREMIUM]**
1. [Incremental rollout to production](index.md#incremental-rollout-to-production-premium) **[PREMIUM]**
1. [Disable jobs you don't need with environment variables](index.md#environment-variables)
1. [Use a static IP for your cluster](../../user/project/clusters/index.md#using-a-static-ip)
1. [Use your own buildpacks to build your application](index.md#custom-buildpacks)
doc/user/admin_area/settings/continuous_integration.md
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@@ -20,7 +20,7 @@ From now on, every existing project and newly created ones that don't have a
`.gitlab-ci.yml`, will use the Auto DevOps pipelines.
 
If you want to disable it for a specific project, you can do so in
[its settings](../../../topics/autodevops/index.md#enabling-auto-devops).
[its settings](../../../topics/autodevops/index.md##enablingdisabling-auto-devops).
 
## Maximum artifacts size **[CORE ONLY]**
 
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