153 lines
6.4 KiB
Markdown
153 lines
6.4 KiB
Markdown
# Feature flag controls
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## Access
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To be able to turn on/off features behind feature flags in any of the
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GitLab Inc. provided environments such as staging and production, you need to
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have access to the [Chatops](../chatops_on_gitlabcom.md) bot. The Chatops bot
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is currently running on the ops instance, which is different from <https://gitlab.com> or <https://dev.gitlab.org>.
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Follow the Chatops document to [request access](../chatops_on_gitlabcom.md#requesting-access).
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Once you are added to the project test if your access propagated,
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run:
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```
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/chatops run feature --help
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```
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## Where to run commands
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To increase visibility, we recommend that GitLab team members run feature flag
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related Chatops commands within certain Slack channels based on the environment
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and related feature. For the [staging](https://staging.gitlab.com)
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and [development](https://dev.gitlab.org) environments of GitLab.com,
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the commands should run in a channel for the stage the feature is relevant too.
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For example, use the `#s_monitor` channel for features developed by the
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Monitor stage, Health group.
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For all production environment Chatops commands, use the `#production` channel.
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Regardless of the channel in which the Chatops command is ran, any feature flag change that affects GitLab.com will automatically be logged in an issue.
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The issue is created in the [gl-infra/feature-flag-log](https://gitlab.com/gitlab-com/gl-infra/feature-flag-log/issues?scope=all&utf8=%E2%9C%93&state=closed) project, and it will at minimum log the Slack handle of person enabling a feature flag, the time, and the name of the flag being changed.
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The issue is then also posted to GitLab Inc. internal [Grafana dashboard](https://dashboards.gitlab.net/) as an annotation marker to make the change even more visible.
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Changes to the issue format can be submitted in the [Chatops project](https://gitlab.com/gitlab-com/chatops).
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## Rolling out changes
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When the changes are deployed to the environments it is time to start
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rolling out the feature to our users. The exact procedure of rolling out a
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change is unspecified, as this can vary from change to change. However, in
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general we recommend rolling out changes incrementally, instead of enabling them
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for everybody right away. We also recommend you to _not_ enable a feature
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_before_ the code is being deployed.
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This allows you to separate rolling out a feature from a deploy, making it
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easier to measure the impact of both separately.
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GitLab's feature library (using
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[Flipper](https://github.com/jnunemaker/flipper), and covered in the [Feature
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Flags process](process.md) guide) supports rolling out changes to a percentage of
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users. This in turn can be controlled using [GitLab Chatops](../../ci/chatops/README.md).
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For an up to date list of feature flag commands please see [the source
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code](https://gitlab.com/gitlab-com/chatops/blob/master/lib/chatops/commands/feature.rb).
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Note that all the examples in that file must be preceded by
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`/chatops run`.
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If you get an error "Whoops! This action is not allowed. This incident
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will be reported." that means your Slack account is not allowed to
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change feature flags or you do not [have access](#access).
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### Enabling feature for preproduction testing
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As a first step in a feature rollout, you should enable the feature on <https://staging.gitlab.com>
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and <https://dev.gitlab.org>.
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For example, to enable a feature for 25% of all users, run the following in
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Slack:
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```
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/chatops run feature set new_navigation_bar 25 --dev
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/chatops run feature set new_navigation_bar 25 --staging
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```
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These two environments have different scopes.
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`dev.gitlab.org` is a production CE environment that has internal GitLab Inc.
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traffic and is used for some development and other related work.
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`staging.gitlab.com` has a smaller subset of GitLab.com database and repositories
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and does not have regular traffic. Staging is an EE instance and can give you
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a (very) rough estimate of how your feature will look/behave on GitLab.com.
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Both of these instances are connected to Sentry so make sure you check the projects
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there for any exceptions while testing your feature after enabling the feature flag.
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Once you are confident enough that these environments are in a good state with your
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feature enabled, you can roll out the change to GitLab.com.
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### Enabling a feature for GitLab.com
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Similar to above, to enable a feature for 25% of all users, run the following in
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Slack:
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```
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/chatops run feature set new_navigation_bar 25
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```
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This will enable the feature for GitLab.com, with `new_navigation_bar` being the
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name of the feature.
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If you are not certain what percentages to use, simply use the following steps:
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1. 25%
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1. 50%
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1. 75%
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1. 100%
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Between every step you'll want to wait a little while and monitor the
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appropriate graphs on <https://dashboards.gitlab.net>. The exact time to wait
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may differ. For some features a few minutes is enough, while for others you may
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want to wait several hours or even days. This is entirely up to you, just make
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sure it is clearly communicated to your team, and the Production team if you
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anticipate any potential problems.
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Feature gates can also be actor based, for example a feature could first be
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enabled for only the `gitlab` project. The project is passed by supplying a
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`--project` flag:
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```
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/chatops run feature set --project=gitlab-org/gitlab some_feature true
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```
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For groups the `--group` flag is available:
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```
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/chatops run feature set --group=gitlab-org some_feature true
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```
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## Cleaning up
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Once the change is deemed stable, submit a new merge request to remove the
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feature flag. This ensures the change is available to all users and self-hosted
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instances. Make sure to add the ~"feature flag" label to this merge request so
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release managers are aware the changes are hidden behind a feature flag. If the
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merge request has to be picked into a stable branch, make sure to also add the
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appropriate "Pick into X" label (e.g. "Pick into XX.X").
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See [the process document](process.md#including-a-feature-behind-feature-flag-in-the-final-release) for further details.
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When a feature gate has been removed from the code base, the feature
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record still exists in the database that the flag was deployed too.
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The record can be deleted once the MR is deployed to each environment:
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```sh
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/chatops run feature delete some_feature --dev
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/chatops run feature delete some_feature --staging
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```
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Then, you can delete it from production after the MR is deployed to prod:
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```sh
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/chatops run feature delete some_feature
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```
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