2019-09-30 21:07:59 +05:30
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# Deploy Boards **(PREMIUM)**
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2019-07-31 22:56:46 +05:30
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> [Introduced][ee-1589] in [GitLab Premium][ee] 9.0.
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GitLab's Deploy Boards offer a consolidated view of the current health and
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status of each CI [environment] running on [Kubernetes], displaying the status
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of the pods in the deployment. Developers and other teammates can view the
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progress and status of a rollout, pod by pod, in the workflow they already use
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without any need to access Kubernetes.
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## Overview
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With Deploy Boards you can gain more insight into deploys with benefits such as:
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- Following a deploy from the start, not just when it's done
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- Watching the rollout of a build across multiple servers
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- Finer state detail (Waiting, Deploying, Finished, Unknown)
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- See [Canary Deployments](canary_deployments.md)
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Here's an example of a Deploy Board of the production environment.
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![Deploy Boards landing page](img/deploy_boards_landing_page.png)
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The squares represent pods in your Kubernetes cluster that are associated with
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the given environment. Hovering above each square you can see the state of a
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deploy rolling out. The percentage is the percent of the pods that are updated
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to the latest release.
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Since Deploy Boards are tightly coupled with Kubernetes, there is some required
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knowledge. In particular you should be familiar with:
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- [Kubernetes pods](https://kubernetes.io/docs/user-guide/pods)
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- [Kubernetes labels](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/)
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- [Kubernetes namespaces](https://kubernetes.io/docs/user-guide/namespaces/)
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- [Kubernetes canary deployments](https://kubernetes.io/docs/concepts/cluster-administration/manage-deployment/#canary-deployments)
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## Use cases
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Since the Deploy Board is a visual representation of the Kubernetes pods for a
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specific environment, there are lot of uses cases. To name a few:
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- You want to promote what's running in staging, to production. You go to the
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environments list, verify that what's running in staging is what you think is
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running, then click on the [manual action](../../ci/yaml/README.md#whenmanual) to deploy to production.
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- You trigger a deploy, and you've got lots of containers to upgrade so you know
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it'll take a while (you've also throttled your deploy to only take down X
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containers at a time). But you need to tell someone when it's deployed, so you
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go to the environments list, look at the production environment to see what
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the progress is in real-time as each pod is rolled.
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- You get a report that something is weird in production, so you look at the
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production environment to see what is running, and if a deploy is ongoing or
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stuck or failed.
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- You've got an MR that looks good, but you want to run it on staging because
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staging is set up in some way closer to production. You go to the environment
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list, find the [Review App][review apps] you're interested in, and click the
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manual action to deploy it to staging.
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## Enabling Deploy Boards
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To display the Deploy Boards for a specific [environment] you should:
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2019-09-30 21:07:59 +05:30
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1. Have [defined an environment](../../ci/environments.md#defining-environments) with a deploy stage.
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2019-07-31 22:56:46 +05:30
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1. Have a Kubernetes cluster up and running.
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2019-09-30 21:07:59 +05:30
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NOTE: **Running on OpenShift:**
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If you are using OpenShift, ensure that you're using the `Deployment` resource
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instead of `DeploymentConfiguration`, otherwise the Deploy Boards won't render
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correctly. For more information, read the
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[OpenShift docs](https://docs.openshift.com/container-platform/3.7/dev_guide/deployments/kubernetes_deployments.html#kubernetes-deployments-vs-deployment-configurations)
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and [GitLab issue #4584](https://gitlab.com/gitlab-org/gitlab-ee/issues/4584).
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2019-07-31 22:56:46 +05:30
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1. [Configure GitLab Runner][runners] with the [Docker][docker-exec] or
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[Kubernetes][kube-exec] executor.
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1. Configure the [Kubernetes service][kube-service] in your project for the
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cluster. The Kubernetes namespace is of particular note as you will need it
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for your deployment scripts (exposed by the `KUBE_NAMESPACE` env variable).
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1. Ensure Kubernetes annotations of `app.gitlab.com/env: $CI_ENVIRONMENT_SLUG`
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and `app.gitlab.com/app: $CI_PROJECT_PATH_SLUG` are applied to the
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deployments, replica sets, and pods, where `$CI_ENVIRONMENT_SLUG` and
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`$CI_PROJECT_PATH_SLUG` are the values of the CI variables. This is so we can
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lookup the proper environment in a cluster/namespace which may have more
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than one. These resources should be contained in the namespace defined in
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the Kubernetes service setting. You can use an [Autodeploy] `.gitlab-ci.yml`
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template which has predefined stages and commands to use, and automatically
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applies the annotations. Each project will need to have a unique namespace in
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Kubernetes as well. The image below demonstrates how this is shown inside
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Kubernetes.
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NOTE: **Note:**
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Matching based on the Kubernetes `app` label was removed in [GitLab
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2019-09-04 21:01:54 +05:30
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12.1](https://gitlab.com/gitlab-org/gitlab-ee/merge_requests/14020).
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To migrate, please apply the required annotations (see above) and
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re-deploy your application.
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2019-07-31 22:56:46 +05:30
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2019-09-30 21:07:59 +05:30
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![Deploy Boards Kubernetes Label](img/deploy_boards_kubernetes_label.png)
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2019-07-31 22:56:46 +05:30
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Once all of the above are set up and the pipeline has run at least once,
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navigate to the environments page under **Operations > Environments**.
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Deploy Boards are visible by default. You can explicitly click
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the triangle next to their respective environment name in order to hide them.
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## Canary Deployments
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A popular CI strategy, where a small portion of the fleet is updated to the new
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version of your application.
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[Read more about Canary Deployments.](canary_deployments.md)
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## Further reading
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- [GitLab Autodeploy][autodeploy]
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- [GitLab CI environment variables][variables]
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- [Environments and deployments][environment]
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- [Kubernetes deploy example][kube-deploy]
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[ee-1589]: https://gitlab.com/gitlab-org/gitlab-ee/issues/1589 "Deploy Boards initial issue"
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[ee]: https://about.gitlab.com/pricing/ "GitLab Enterprise Edition landing page"
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[kube-deploy]: https://gitlab.com/gitlab-examples/kubernetes-deploy "Kubernetes deploy example project"
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[kubernetes]: https://kubernetes.io "Kubernetes website"
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[environment]: ../../ci/environments.md "Environments and deployments documentation"
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[docker-exec]: https://docs.gitlab.com/runner/executors/docker.html "GitLab Runner Docker executor"
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[kube-exec]: https://docs.gitlab.com/runner/executors/kubernetes.html "GitLab Runner Kubernetes executor"
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[kube-service]: integrations/kubernetes.md "Kubernetes project service"
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[review apps]: ../../ci/review_apps/index.md "Review Apps documentation"
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[variables]: ../../ci/variables/README.md "GitLab CI variables"
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[autodeploy]: ../../topics/autodevops/index.md#auto-deploy "GitLab Autodeploy"
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[kube-image]: https://gitlab.com/gitlab-examples/kubernetes-deploy/container_registry "Kubernetes deploy Container Registry"
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[runners]: ../../ci/runners/README.md
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