---
stage: Release
group: Release
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
type: concepts, howto
---

# Incremental rollouts with GitLab CI/CD **(FREE)**

When rolling out changes to your application, it is possible to release production changes
to only a portion of your Kubernetes pods as a risk mitigation strategy. By releasing
production changes gradually, error rates or performance degradation can be monitored, and
if there are no problems, all pods can be updated.

GitLab supports both manually triggered and timed rollouts to a Kubernetes production system
using Incremental Rollouts. When using Manual Rollouts, the release of each tranche
of pods is manually triggered, while in Timed Rollouts, the release is performed in
tranches after a default pause of 5 minutes.
Timed rollouts can also be manually triggered before the pause period has expired.

Manual and Timed rollouts are included automatically in projects controlled by
[Auto DevOps](../../topics/autodevops/index.md), but they are also configurable through
GitLab CI/CD in the `.gitlab-ci.yml` configuration file.

Manually triggered rollouts can be implemented with your [Continuous Delivery](../introduction/index.md#continuous-delivery)
methodology, while timed rollouts do not require intervention and can be part of your
[Continuous Deployment](../introduction/index.md#continuous-deployment) strategy.
You can also combine both of them in a way that the app is deployed automatically
unless you eventually intervene manually if necessary.

We created sample applications to demonstrate the three options, which you can
use as examples to build your own:

- [Manual incremental rollouts](https://gitlab.com/gl-release/incremental-rollout-example/blob/master/.gitlab-ci.yml)
- [Timed incremental rollouts](https://gitlab.com/gl-release/timed-rollout-example/blob/master/.gitlab-ci.yml)
- [Both manual and timed rollouts](https://gitlab.com/gl-release/incremental-timed-rollout-example/blob/master/.gitlab-ci.yml)

## Manual Rollouts

It is possible to configure GitLab to do incremental rollouts manually through `.gitlab-ci.yml`. Manual configuration
allows more control over the this feature. The steps in an incremental rollout depend on the
number of pods that are defined for the deployment, which are configured when the Kubernetes
cluster is created.

For example, if your application has 10 pods and a 10% rollout job runs, the new instance of the
application is deployed to a single pod while the rest of the pods show the previous instance of the application.

First we [define the template as manual](https://gitlab.com/gl-release/incremental-rollout-example/blob/master/.gitlab-ci.yml#L100-103):

```yaml
.manual_rollout_template: &manual_rollout_template
  <<: *rollout_template
  stage: production
  when: manual
```

Then we [define the rollout amount for each step](https://gitlab.com/gl-release/incremental-rollout-example/blob/master/.gitlab-ci.yml#L152-155):

```yaml
rollout 10%:
  <<: *manual_rollout_template
  variables:
    ROLLOUT_PERCENTAGE: 10
```

When the jobs are built, a **play** button appears next to the job's name. Click the **play** button
to release each stage of pods. You can also rollback by running a lower percentage job. Once 100%
is reached, you cannot roll back using this method. It is still possible to roll back by redeploying
the old version using the **Rollback** button on the environment page.

![Play button](img/incremental_rollouts_play_v12_7.png)

A [deployable application](https://gitlab.com/gl-release/incremental-rollout-example) is
available, demonstrating manually triggered incremental rollouts.

## Timed Rollouts

Timed rollouts behave in the same way as manual rollouts, except that each job is defined with a
delay in minutes before it deploys. Clicking the job reveals the countdown.

![Timed rollout](img/timed_rollout_v12_7.png)

It is possible to combine this functionality with manual incremental rollouts so that the job
counts down and then deploys.

First we [define the template as timed](https://gitlab.com/gl-release/timed-rollout-example/blob/master/.gitlab-ci.yml#L86-89):

```yaml
.timed_rollout_template: &timed_rollout_template
  <<: *rollout_template
  when: delayed
  start_in: 1 minutes
```

We can define the delay period using the `start_in` key:

```yaml
start_in: 1 minutes
```

Then we [define the rollout amount for each step](https://gitlab.com/gl-release/timed-rollout-example/blob/master/.gitlab-ci.yml#L97-101):

```yaml
timed rollout 30%:
  <<: *timed_rollout_template
  stage: timed rollout 30%
  variables:
    ROLLOUT_PERCENTAGE: 30
```

A [deployable application](https://gitlab.com/gl-release/timed-rollout-example) is
available, [demonstrating configuration of timed rollouts](https://gitlab.com/gl-release/timed-rollout-example/blob/master/.gitlab-ci.yml#L86-95).

## Blue-Green Deployment

NOTE:
As of GitLab 13.7, teams can leverage an Ingress annotation and [set traffic weight](../../user/project/canary_deployments.md#how-to-change-the-traffic-weight-on-a-canary-ingress-deprecated)
as an alternative approach to the blue-green deployment strategy documented here.

Also sometimes known as A/B deployment or red-black deployment, this technique is used to reduce
downtime and risk during a deployment. When combined with incremental rollouts, you can
minimize the impact of a deployment causing an issue.

With this technique there are two deployments ("blue" and "green", but any naming can be used).
Only one of these deployments is live at any given time, except during an incremental rollout.

For example, your blue deployment can be currently active on production, while the
green deployment is "live" for testing, but not deployed to production. If issues
are found, the green deployment can be updated without affecting the production
deployment (currently blue). If testing finds no issues, you switch production to the green
deployment, and blue is now available to test the next release.

This process reduces downtime as there is no need to take down the production deployment
to switch to a different deployment. Both deployments are running in parallel, and
can be switched to at any time.

An [example deployable application](https://gitlab.com/gl-release/blue-green-example)
is available, with a [`.gitlab-ci.yml` CI/CD configuration file](https://gitlab.com/gl-release/blue-green-example/blob/master/.gitlab-ci.yml)
that demonstrates blue-green deployments.
