Feature Flag

What is a feature flag?

Feature flags are tools in software development that let you enable or disable features without changing the source code or redeploying. They act as conditionals that control which code paths are executed at runtime. This allows for safer, more flexible feature deployment.

At their core, feature flags are simple boolean values that determine if a feature is on or off. When a flag is "on," the feature's code executes; when "off," it doesn't. You can use these flags to hide unfinished features from users or to test new functionality in production.

Practical uses of feature flags

Feature flags offer several practical applications:

  • Staged Rollouts: Gradually release features to a small group of users before a full launch.

  • A/B Testing: Test different variations of a feature to see which performs better.

  • Beta Testing: Allow beta users to test new features without affecting all users.

Implementing feature flags can significantly reduce risk. If a new feature causes issues, you can disable it instantly without redeploying. This quick rollback capability ensures that your production environment remains stable.

Implementing feature flags

To implement feature flags, insert conditional statements in your code to check the flag's status. For example:

This approach keeps your codebase clean and allows you to control features through configuration rather than code changes.

Feature flags also enable targeted rollouts. You can activate a feature for specific user groups, geographic locations, or devices. This targeted approach helps you gather feedback and monitor performance metrics before a broader release.

Managing feature flags

Effective management of feature flags is crucial. Use clear naming conventions and organize flags in a central configuration file or dashboard. Regularly review and remove outdated flags to avoid accumulating technical debt.

By leveraging feature flags, you can decouple deployment from release. This separation allows you to deploy code at any time and release features when ready. It makes your development process more agile and responsive.

Benefits of using feature flags

Decoupled deployment and release

Feature flags separate code deployment from feature release. This reduces risk. It allows more frequent updates. Learn more about Feature Flag Best Practices.

Targeted rollouts

With feature flags, you can release features to specific user groups. This enables gradual rollouts. It also supports targeted testing.

Enhanced testing

Feature flags facilitate A/B testing in production environments. You gain real-world insights. Risk is minimized.

Increased flexibility

Feature flags let you control feature visibility. You can quickly enable or disable features. This boosts agility in development. Learn more.

Reduced downtime

Instantly disable problematic features using feature flags. No need for redeployment. This ensures continuous uptime. See how to toggle and configure your feature flags.

Better user experience

Feature flags allow gradual feature introduction. Users see stable and tested features. This enhances overall user satisfaction. Learn about progressive delivery.

Examples of feature flag use cases

Progressive delivery

Gradually expose new features to users. Monitor feedback closely. This helps catch issues early. Learn more about best practices for progressive delivery.

Beta testing

Enable a new UI for select beta testers. Gather early feedback. Make improvements before a full release. See how to validate functionality with trusted users.

Infrastructure migrations

Switch traffic between old and new components. Do this seamlessly. Avoid downtime. Read more about implementing feature gates.

Feature experimentation

Test different versions of a feature. Use A/B testing. Optimize based on real-world data. Understand the difference between feature flags and experiments.

User segmentation

Roll out features to specific user groups. Tailor experiences. Ensure targeted releases. Learn more about user segmentation with feature gates.

Performance monitoring

Turn on features for a subset of users. Monitor performance metrics. Make data-driven decisions. Explore how to monitor and automate.

Emergency rollback

Quickly disable problematic features. Use a kill switch. Minimize impact on users. See how to set up phased canary releases and manage rollbacks.

Access control

Control feature access based on user roles. Manage entitlements easily. Ensure proper usage. Read more about role-based access control.

Gradual rollouts

Release features incrementally. Start with a small user base. Expand after ensuring stability. Learn how to implement and manage gradual rollouts.

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy