Feature flags are increasingly crucial in product development, enabling teams to manage their lifecycle, measure their impact, and integrate them into the tech stack. While many teams begin with open-source or homegrown solutions, these basic tools often lack the scalability and integration capabilities needed to manage feature flags effectively. Split addresses these limitations by opening its Feature Data Platform to third-party and homegrown feature flag data, allowing teams to utilize Split's advanced experimentation and analytics regardless of their existing systems. This new capability, termed External Feature Flags, integrates with various feature flag sources, enabling data ingestion and enhanced control, insight, and governance over feature flags. The integration with platforms like Microsoft Azure App Configuration further enhances the ability to manage and measure the impact of feature changes, providing real-time evaluations, audit logs, and the ability to correlate flag changes with performance indicators through integrations with tools like Datadog and Slack. This approach not only improves feature management and experimentation but also fosters continuous improvement and innovation within product engineering teams.