📄️ Building and scaling feature flag systems
Discover 11 essential principles for building robust, large-scale feature flag systems.
📄️ Using feature flags at scale
“A feature flag is just an if statement,” you say. This is true in a way, but when your organization has thousands of developers, each managing dozens or hundreds of flags with complex targeting rules and audit trails across dozens of microservices-based applications, those if statements can quickly become complex. This is especially true if you don’t set up your system correctly in the first place.
📄️ Migrating from homegrown feature management solutions
Many large organizations have an existing feature management solution that they have outgrown and plan to migrate to a feature flag service.
📄️ A/B and multivariate testing
A/B testing is a type of randomized controlled experiment, where you test two different versions of a feature to see which version performs better. If you have more than two versions, it's known as multivariate testing. Coupled with analytics, A/B and multivariate testing enables you to better understand your users and how you can serve them better.