Decoupling deployment from release is a strategy that allows software teams to deploy code without immediately impacting users, thus enabling safer, more flexible, and gradual rollouts. This method uses feature flags to dynamically control the exposure of new features, supporting internal testing and progressive delivery. The approach helps mitigate risks associated with traditional "big bang" deployments by allowing code to be pushed to production without being activated for all users at once. Historically, the term "release" was used primarily as a noun, but as software delivery practices evolve, it's increasingly used as a verb, reflecting the gradual and controlled nature of modern releases. The Split Feature Data Platform exemplifies this approach by providing tools for feature management, allowing teams to confidently experiment and deploy features without compromising system stability.