1
0
mirror of https://github.com/Unleash/unleash.git synced 2024-12-22 19:07:54 +01:00
unleash.unleash/docs/activation-strategies.md
2020-02-20 08:34:04 +01:00

3.7 KiB

Activation Strategies

It is powerful to be able to turn a feature on and off instantaneously, without redeploying the application. The next level of control comes when you are able to enable a feature for specific users or enable it for a small subset of the users. We achieve this level of control with the help of activation strategies. The simplest strategy is the “default” strategy, which basically means that the feature should be enabled to everyone.

The definition of an activation strategy lives in the Unleash API and can be created via the Unleash UI. The implementation of activation strategies lives in the various client implementations.

Unleash comes with a few common activation strategies. Some of them requires the client to provide the unleash-context, which gives necessary context for unleash.

default

Is the simples activation strategies and basically means "active for everyone".

userWithId

Active for users with a userId defined in the userIds-list. Typically I want to enable a new feature only for myself in production, before I enable it of everyone else. To achieve this we can use the “UserWithIdStrategy”. This strategy allows you to specify a list of specific user ids that you want to expose the new feature for. (A user id may of course be an email if that is more appropriate in your system.)

Parameters

  • userIds - List of user ids you want the feature toggle should be enabled for

gradualRolloutUserId

Gradually activate feature toggle for logged in users. Stickiness based on user id. This strategy guarantees that the same user gets the same experience every time, across devices. It also guarantees that a user which is among the first 10% will also be among the first 20% of the users. Thus we ensure that users get the same experience. Even if we gradually increase the number of users who are exposed to a particular feature. To achieve this we hash the user id and normalise the hash value to a number between 1 and 100 with a simple modulo operator.

hash_and_normalise

Starting from v3.x all clients should use the 32bit Murmur-hash algorithm to normalize values. (issue 247)

Parameters

  • percentage - The percentage (0-100) you want to enable to feature toggle for.
  • groupId - Used to define a activation groups, which allows you to correlate across feature toggles.

gradualRolloutSessionId

Gradually activate feature toggle. Stickiness based on session id. It is almost identical to the gradualRolloutUserId strategy, with the exception that it works on session ids. This makes it possible to target all users (not just logged in users), guaranteeing that a user will get the same experience within a session.

Parameters

  • percentage - The percentage (0-100) you want to enable to feature toggle for.
  • groupId - Used to define a activation groups, which allows you to correlate across feature toggles.

gradualRolloutRandom

Randomly activate the feature toggle. No stickiness. We have found this rollout strategy very useful in some scenarios, especially when we are enabling a feature which is not visible to the user. It is also the strategy we use to sample metrics and error reports.

Parameters

  • percentage - The percentage (0-100) you want to enable to feature toggle for.

remoteAddress

Active for remote addresses defined in the IPs list. We sometimes use this strategy to enable a feature only for IP's in our office network.

Parameters

  • IPS - List of IPs to enable the feature for.

applicationHostname

Active for client instances with a hostName in the hostNames-list.

Parameters

  • hostNames - List of hostnames to enable the feature toggle for.