Feature Flag Best Practices

Feature flags are powerful tools that enable teams to deploy code safely and control feature releases. Implementing them effectively requires following established best practices to avoid potential pitfalls.

Implementation Best Practices

Naming and Organization

Technical Implementation

Operational Best Practices

Lifecycle Management

Security and Access Control

Team Collaboration

Cross-Functional Coordination

Integration with Development Processes

Common Pitfalls to Avoid

Frequently Asked Questions

What are feature flag best practices?

Feature flag best practices include using clear naming conventions, implementing proper access controls, setting up automated testing, planning for flag removal, documenting flag purpose and usage, and monitoring flag performance impact.

How long should I keep feature flags in my codebase?

Temporary feature flags used for rollouts or experiments should be removed once they've served their purpose, typically within 30-90 days. Permanent flags for system configuration may remain indefinitely, but should be regularly reviewed.

What is feature flag technical debt?

Feature flag technical debt occurs when temporary flags remain in your codebase longer than needed, increasing complexity and maintenance burden. To avoid this, implement a systematic review process, flag expiration dates, and automated cleanup procedures.

How should I name my feature flags?

Use a consistent naming convention that includes the flag purpose, affected feature, and context. For example: 'enable_new_checkout_flow' or 'release_user_profile_v2'. This makes flags easier to understand and manage at scale.

Can feature flags impact performance?

Yes, poorly implemented feature flags can impact performance, especially with high-volume client-side evaluations. Minimize performance impact by caching flag values, using efficient evaluation logic, and avoiding excessive flag checks in critical paths.

How do I implement feature flags in a microservices architecture?

For microservices, consider using a centralized feature flag service that all services can query, implementing consistent evaluation logic across services, and designing flags that work within service boundaries while maintaining system-wide consistency.