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# Deploy Boards **(PREMIUM)**
> [Introduced][ee-1589] in [GitLab Premium][ee] 9.0.
GitLab's Deploy Boards offer a consolidated view of the current health and
status of each CI [environment] running on [Kubernetes], displaying the status
of the pods in the deployment. Developers and other teammates can view the
progress and status of a rollout, pod by pod, in the workflow they already use
without any need to access Kubernetes.
## Overview
With Deploy Boards you can gain more insight into deploys with benefits such as:
- Following a deploy from the start, not just when it's done
- Watching the rollout of a build across multiple servers
- Finer state detail (Succeeded, Running, Failed, Pending, Unknown)
- See [Canary Deployments](canary_deployments.md)
Here's an example of a Deploy Board of the production environment.
The squares represent pods in your Kubernetes cluster that are associated with
the given environment. Hovering above each square you can see the state of a
deploy rolling out. The percentage is the percent of the pods that are updated
to the latest release.
Since Deploy Boards are tightly coupled with Kubernetes, there is some required
knowledge. In particular, you should be familiar with:
- [Kubernetes pods](https://kubernetes.io/docs/concepts/workloads/pods/pod/)
- [Kubernetes labels](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/)
- [Kubernetes namespaces](https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/)
- [Kubernetes canary deployments](https://kubernetes.io/docs/concepts/cluster-administration/manage-deployment/#canary-deployments)
## Use cases
Since the Deploy Board is a visual representation of the Kubernetes pods for a
specific environment, there are a lot of use cases. To name a few:
- You want to promote what's running in staging, to production. You go to the
environments list, verify that what's running in staging is what you think is
running, then click on the [manual action](../../ci/yaml/README.md#whenmanual) to deploy to production.
- You trigger a deploy, and you've got lots of containers to upgrade so you know
it'll take a while (you've also throttled your deploy to only take down X
containers at a time). But you need to tell someone when it's deployed, so you
go to the environments list, look at the production environment to see what
the progress is in real-time as each pod is rolled.
- You get a report that something is weird in production, so you look at the
production environment to see what is running, and if a deploy is ongoing or
stuck or failed.
- You've got an MR that looks good, but you want to run it on staging because
staging is set up in some way closer to production. You go to the environment
list, find the [Review App][review apps] you're interested in, and click the
manual action to deploy it to staging.
## Enabling Deploy Boards
To display the Deploy Boards for a specific [environment] you should:
1. Have [defined an environment](../../ci/environments.md#defining-environments) with a deploy stage.
1. Have a Kubernetes cluster up and running.
NOTE: **Running on OpenShift:**
If you are using OpenShift, ensure that you're using the `Deployment` resource
instead of `DeploymentConfiguration`. Otherwise, the Deploy Boards won't render
correctly. For more information, read the
[OpenShift docs](https://docs.openshift.com/container-platform/3.7/dev_guide/deployments/kubernetes_deployments.html#kubernetes-deployments-vs-deployment-configurations)
and [GitLab issue #4584](https://gitlab.com/gitlab-org/gitlab/issues/4584).
1. [Configure GitLab Runner][runners] with the [Docker][docker-exec] or
[Kubernetes][kube-exec] executor.
1. Configure the [Kubernetes service][kube-service] in your project for the
cluster. The Kubernetes namespace is of particular note as you will need it
for your deployment scripts (exposed by the `KUBE_NAMESPACE` env variable).
1. Ensure Kubernetes annotations of `app.gitlab.com/env: $CI_ENVIRONMENT_SLUG`
and `app.gitlab.com/app: $CI_PROJECT_PATH_SLUG` are applied to the
deployments, replica sets, and pods, where `$CI_ENVIRONMENT_SLUG` and
`$CI_PROJECT_PATH_SLUG` are the values of the CI variables. This is so we can
lookup the proper environment in a cluster/namespace which may have more
than one. These resources should be contained in the namespace defined in
the Kubernetes service setting. You can use an [Autodeploy] `.gitlab-ci.yml`
template which has predefined stages and commands to use, and automatically
applies the annotations. Each project will need to have a unique namespace in
Kubernetes as well. The image below demonstrates how this is shown inside
Kubernetes.
NOTE: **Note:**
Matching based on the Kubernetes `app` label was removed in [GitLab
12.1](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/14020).
To migrate, please apply the required annotations (see above) and
re-deploy your application. If you are using Auto DevOps, this will
be done automatically and no action is necessary.
Once all of the above are set up and the pipeline has run at least once,
navigate to the environments page under **Operations > Environments**.
Deploy Boards are visible by default. You can explicitly click
the triangle next to their respective environment name in order to hide them.
### Example manifest file
The following example is an extract of a Kubernetes manifest deployment file, using the two annotations `app.gitlab.com/env` and `app.gitlab.com/app` to enable the **Deploy Boards**:
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: "APPLICATION_NAME"
annotations:
app.gitlab.com/app: ${CI_PROJECT_PATH_SLUG}
app.gitlab.com/env: ${CI_ENVIRONMENT_SLUG}
spec:
replicas: 1
selector:
matchLabels:
app: "APPLICATION_NAME"
template:
metadata:
labels:
app: "APPLICATION_NAME"
annotations:
app.gitlab.com/app: ${CI_PROJECT_PATH_SLUG}
app.gitlab.com/env: ${CI_ENVIRONMENT_SLUG}
```
The annotations will be applied to the deployments, replica sets, and pods. By changing the number of replicas, like `kubectl scale --replicas=3 deploy APPLICATION_NAME -n ${KUBE_NAMESPACE}`, you can follow the instances' pods from the board.
## Canary Deployments
A popular CI strategy, where a small portion of the fleet is updated to the new
version of your application.
[Read more about Canary Deployments.](canary_deployments.md)
## Further reading
- [GitLab Autodeploy][autodeploy]
- [GitLab CI environment variables][variables]
- [Environments and deployments][environment]
- [Kubernetes deploy example][kube-deploy]
[ee-1589]: https://gitlab.com/gitlab-org/gitlab/issues/1589 "Deploy Boards initial issue"
[ee]: https://about.gitlab.com/pricing/ "GitLab Enterprise Edition landing page"
[kube-deploy]: https://gitlab.com/gitlab-examples/kubernetes-deploy "Kubernetes deploy example project"
[kubernetes]: https://kubernetes.io "Kubernetes website"
[environment]: ../../ci/environments.md "Environments and deployments documentation"
[docker-exec]: https://docs.gitlab.com/runner/executors/docker.html "GitLab Runner Docker executor"
[kube-exec]: https://docs.gitlab.com/runner/executors/kubernetes.html "GitLab Runner Kubernetes executor"
[kube-service]: integrations/kubernetes.md "Kubernetes project service"
[review apps]: ../../ci/review_apps/index.md "Review Apps documentation"
[variables]: ../../ci/variables/README.md "GitLab CI variables"
[autodeploy]: ../../topics/autodevops/index.md#auto-deploy "GitLab Autodeploy"
[kube-image]: https://gitlab.com/gitlab-examples/kubernetes-deploy/container_registry "Kubernetes deploy Container Registry"
[runners]: ../../ci/runners/README.md
|
