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Feature flag use cases: Secure, scalable feature flags

Why Feature Flags Are Important for Modern DevOps

Feature flags are a key part of DevOps, speeding up the software development process. They reduce the need for long testing cycles that still fail to find all the possible bugs when code meets real users. They reduce the risk of downtime when a feature needs to be rolled back. And they enable data-driven optimization, which is essential to improving user experience and driving revenue.

Enhance Agility

Quickly Enable or Disable Features

Improve Collaboration

Allow Development and Operations Teams to Work Independently

Mitigate Risk

Rollback Features Instantly Without Reverting Code

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Challenges and best practices for progressive rollouts

Challenges:

Managing Complexity: How do you track multiple feature flags in different lifecycle stages?

Controlling Access: How to maintain access and change controls?

Measuring Impact: How do you assess the performance and impact of feature flags?

Best Practices:

Centralized Flag Management: Use a unified platform to manage all feature flags, reducing complexity and improving visibility.

Consistent Experience: Ensure a consistent user experience across sessions.

Comprehensive Analytics: Implement detailed analytics to track the performance and impact of feature flags, enabling data-driven decisions.

How Unleash enables secure, scalable feature flags?

Easily configure which feature flags are enabled for which users. Unleash has built-in default strategies like Progress Rollout that make getting started easy. Custom constraints allow targeting feature rollouts based on any attribute you can imagine like geo, customer type, or arbitrary telemetry.

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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 […]