d05eebe1dd
Linting rule not enabled for now because tooling produces false positives.
131 lines
6.9 KiB
Markdown
131 lines
6.9 KiB
Markdown
# Feature flags process
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## Feature flags for user applications
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This document only covers feature flags used in the development of GitLab
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itself. Feature flags in deployed user applications can be found at
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[Feature Flags feature documentation](../../user/project/operations/feature_flags.md).
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## Feature flags in GitLab development
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The following highlights should be considered when deciding if feature flags
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should be leveraged:
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- By default, the feature flags should be **off**.
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- Feature flags should remain in the codebase for as short period as possible
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to reduce the need for feature flag accounting.
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- The person operating with feature flags is responsible for clearly communicating
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the status of a feature behind the feature flag with responsible stakeholders.
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- Merge requests that make changes hidden behind a feature flag, or remove an
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existing feature flag because a feature is deemed stable must have the
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~"feature flag" label assigned.
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One might be tempted to think that feature flags will delay the release of a
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feature by at least one month (= one release). This is not the case. A feature
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flag does not have to stick around for a specific amount of time
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(e.g. at least one release), instead they should stick around until the feature
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is deemed stable. Stable means it works on GitLab.com without causing any
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problems, such as outages.
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### When to use feature flags
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Starting with GitLab 11.4, developers are required to use feature flags for
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non-trivial changes. Such changes include:
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- New features (e.g. a new merge request widget, epics, etc).
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- Complex performance improvements that may require additional testing in
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production, such as rewriting complex queries.
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- Invasive changes to the user interface, such as a new navigation bar or the
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removal of a sidebar.
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- Adding support for importing projects from a third-party service.
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In all cases, those working on the changes can best decide if a feature flag is
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necessary. For example, changing the color of a button doesn't need a feature
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flag, while changing the navigation bar definitely needs one. In case you are
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uncertain if a feature flag is necessary, simply ask about this in the merge
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request, and those reviewing the changes will likely provide you with an answer.
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When using a feature flag for UI elements, make sure to _also_ use a feature
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flag for the underlying backend code, if there is any. This ensures there is
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absolutely no way to use the feature until it is enabled.
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### Including a feature behind feature flag in the final release
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In order to build a final release and present the feature for self-hosted
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users, the feature flag should be at least defaulted to **on**. If the feature
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is deemed stable and there is confidence that removing the feature flag is safe,
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consider removing the feature flag altogether. Take into consideration that such
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action can make the feature available on GitLab.com shortly after the change to
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the feature flag is merged.
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Changing the default state or removing the feature flag has to be done before
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the 22nd of the month, _at least_ 2 working days before, in order for the change
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to be included in the final self-managed release.
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In addition to this, the feature behind feature flag should:
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- Run in all GitLab.com environments for a sufficient period of time. This time
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period depends on the feature behind the feature flag, but as a general rule of
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thumb 2-4 working days should be sufficient to gather enough feedback.
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- The feature should be exposed to all users within the GitLab.com plan during
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the above mentioned period of time. Exposing the feature to a smaller percentage
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or only a group of users might not expose a sufficient amount of information to aid in
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making a decision on feature stability.
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While rare, release managers may decide to reject picking or revert a change in
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a stable branch, even when feature flags are used. This might be necessary if
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the changes are deemed problematic, too invasive, or there simply isn't enough
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time to properly measure how the changes behave on GitLab.com.
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### The cost of feature flags
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When reading the above, one might be tempted to think this procedure is going to
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add a lot of work. Fortunately, this is not the case, and we'll show why. For
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this example we'll specify the cost of the work to do as a number, ranging from
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0 to infinity. The greater the number, the more expensive the work is. The cost
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does _not_ translate to time, it's just a way of measuring complexity of one
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change relative to another.
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Let's say we are building a new feature, and we have determined that the cost of
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this is 10. We have also determined that the cost of adding a feature flag check
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in a variety of places is 1. If we do not use feature flags, and our feature
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works as intended, our total cost is 10. This however is the best case scenario.
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Optimizing for the best case scenario is guaranteed to lead to trouble, whereas
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optimizing for the worst case scenario is almost always better.
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To illustrate this, let's say our feature causes an outage, and there's no
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immediate way to resolve it. This means we'd have to take the following steps to
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resolve the outage:
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1. Revert the release.
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1. Perform any cleanups that might be necessary, depending on the changes that
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were made.
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1. Revert the commit, ensuring the "master" branch remains stable. This is
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especially necessary if solving the problem can take days or even weeks.
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1. Pick the revert commit into the appropriate stable branches, ensuring we
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don't block any future releases until the problem is resolved.
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As history has shown, these steps are time consuming, complex, often involve
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many developers, and worst of all: our users will have a bad experience using
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GitLab.com until the problem is resolved.
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Now let's say that all of this has an associated cost of 10. This means that in
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the worst case scenario, which we should optimize for, our total cost is now 20.
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If we had used a feature flag, things would have been very different. We don't
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need to revert a release, and because feature flags are disabled by default we
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don't need to revert and pick any Git commits. In fact, all we have to do is
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disable the feature, and in the worst case, perform cleanup. Let's say that
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the cost of this is 2. In this case, our best case cost is 11: 10 to build the
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feature, and 1 to add the feature flag. The worst case cost is now 13: 10 to
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build the feature, 1 to add the feature flag, and 2 to disable and clean up.
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Here we can see that in the best case scenario the work necessary is only a tiny
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bit more compared to not using a feature flag. Meanwhile, the process of
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reverting our changes has been made significantly and reliably cheaper.
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In other words, feature flags do not slow down the development process. Instead,
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they speed up the process as managing incidents now becomes _much_ easier. Once
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continuous deployments are easier to perform, the time to iterate on a feature
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is reduced even further, as you no longer need to wait weeks before your changes
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are available on GitLab.com.
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