Enter the humble feature flag. These booleans as a service can wrap code and be used to target what code gets released, and to whom. They allow for nearly instantaneous rollbacks and ramp-ups of feature deployments, slicing and dicing a user base in a multitude of ways.
However – some features are bigger than what can be accomplished in one sprint. And moreover what happens when a code deployment causes performance degradation and needs to be rolled back, and quickly? How can feature deployment be controlled safely and with confidence? What if you wanted to deploy a feature to just a small subset of your users? Or a big subset?
Join us in this session as we discuss the finer points of feature flagging.
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