A/B Feature Flag Management System

(2 customer reviews)

$80.74

We implement scalable feature flag systems for A/B testing and progressive rollouts—allowing teams to release features safely, gather user insights, and perform real-time control over deployments.

Description

Our A/B Feature Flag Management System helps teams control feature rollouts, run A/B experiments, and decouple deployments from releases through granular flagging and real-time toggles. We set up platforms like LaunchDarkly, Flagsmith, Unleash, or custom-built flagging engines integrated with your backend, front-end, or mobile application. Features can be conditionally exposed based on user attributes (location, plan, role), random sampling (for A/B or multivariate tests), or experimentation cohorts. This enables progressive rollouts, blue-green deployments, and instant rollback capability in case of errors. We integrate feature usage tracking with Mixpanel, Google Analytics, or custom dashboards, enabling product managers to gather statistically valid feedback on new functionality. The system supports kill switches, permission-based flag access, SDKs for multiple languages, and CI/CD hooks. With this service, businesses can validate user response, improve release confidence, and move faster without risking system-wide outages or UX failures.

2 reviews for A/B Feature Flag Management System

  1. Racheal

    This feature flag management system has been invaluable for our team. It’s allowed us to experiment with new features and roll them out gradually, significantly reducing risk and providing us with valuable data to make informed decisions. The real-time control over deployments is a huge benefit, and we’ve seen a positive impact on our ability to iterate quickly and efficiently.

  2. Wilson

    This A/B feature flag management system has been instrumental in streamlining our development process. The ability to release features progressively and gather user feedback has significantly reduced risk and allowed us to iterate quickly. We’ve gained valuable insights into user behavior and improved our deployment control immensely.

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