Easily define who and how many users see your features. Predefined activation strategies such as gradual rollout to 100% of users are bundled with Unleash, so setup is easy.
Feature flag use cases: progressive or gradual rollouts
Why are progressive or gradual rollouts important?
Progressive rollouts enhance reliability by incrementally introducing changes, ensuring smoother transitions and improved user experiences.
Mitigate Risk
Limit exposure by gradually releasing updates.
Incorporate feedback
Use real-time user feedback to improve features.
Monitor Performance
Ensure system stability by monitoring performance at each stage.
Trusted by developers at global enterprises
Challenges and best practices for progressive rollouts
Challenges:
Segmenting users: How do you specifically target the right user groups for rollouts?
Monitoring performance: How do you know which features are performing up to the desired level?
Adjusting Rollout Based on Results: How do you increase or decrease rollout percentages based real-time data?
Best Practices:
Robust Targeting Tools: Leverage advanced segmentation tools to identify and target specific user groups based on demographics, usage patterns, and behavior.
Comprehensive Metrics: Implement detailed performance metrics and monitoring systems to track feature usage, user engagement, and system stability. Regularly analyze these metrics to ensure features meet desired performance levels.
Adaptive Rollout Strategy: Develop a flexible rollout plan that allows for adjustments based on real-time performance data and user feedback. Use automated tools to quickly scale up or down the rollout percentages in response to the observed results.
How Unleash feature flags enable progressive rollouts
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Why the largest enterprises in the world choose Unleash
As VP of Sales at Unleash, I’ve had the honor of engaging with Fortune 500 enterprises that are adopting the DevOps mindset so they can outcompete their large established peers and an increasing number of smaller but more nimble upstarts. It’s a red ocean out there, and the most forward-looking organizations realize that feature management […]
