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The source provides an extensive explanation of Chrome Finch Field Trials, which is the framework Chrome uses for running experiments and feature rollouts without requiring a full browser update. Specifically, it details the structure and fields of a .gcp (Google Configuration Proto) file used to define a study, focusing on a pullback or holdback experiment that disables an already-launched feature for a small subset of users (e.g., 1%). The document breaks down how the configuration specifies experiment groups with relative probability weights, applies filtering rules based on platform and channel, and uses feature association directives to override the default state of a feature flag. Finally, it describes how Chrome's Variations backend compiles these configurations into a seed, which the client uses for consistent, client-side randomization to assign users to a permanent experimental group.
By Free DebreuilThe source provides an extensive explanation of Chrome Finch Field Trials, which is the framework Chrome uses for running experiments and feature rollouts without requiring a full browser update. Specifically, it details the structure and fields of a .gcp (Google Configuration Proto) file used to define a study, focusing on a pullback or holdback experiment that disables an already-launched feature for a small subset of users (e.g., 1%). The document breaks down how the configuration specifies experiment groups with relative probability weights, applies filtering rules based on platform and channel, and uses feature association directives to override the default state of a feature flag. Finally, it describes how Chrome's Variations backend compiles these configurations into a seed, which the client uses for consistent, client-side randomization to assign users to a permanent experimental group.