CloudBees Feature Management is a comprehensive platform designed to streamline and enhance the deployment process for organizations. It leverages feature flags to enable accelerated, scalable, and safe application delivery, meeting the speed demands of modern businesses while maintaining quality and control.

Key Features

Targeted Feature Releases Enables precise control over feature rollouts

• Selective release of features to specific user groups or environments
• Gradual rollout capabilities for testing and risk mitigation

Environment Management Facilitates efficient management across different deployment stages

• Separate control for development, staging, and production environments
• Consistent feature flag management across the deployment pipeline

Split Rollouts Allows for controlled experimentation and performance testing

• A/B testing capabilities for new features
• Percentage-based rollouts for gradual feature introduction

Integration Capabilities Seamless connection with popular development tools

• Integration with Jenkins for automated deployments
• Slack integration for real-time notifications and collaboration

Local Testing Empowers developers to test feature flags in their local environment

• Ability to craft and test feature flags before deployment
• Improved developer productivity and code quality

Scheduled Releases Automates the timing of feature releases

• Plan and schedule feature flag changes in advance
• Reduces manual intervention and improves release consistency

Comprehensive Audit Logs Provides detailed tracking of all feature flag activities

• Complete visibility into who changed what and when
• Enhances accountability and aids in troubleshooting

Benefits

Accelerated Delivery Speeds up the software development lifecycle

• Faster time-to-market for new features
• Reduced risk associated with large releases

Enhanced Control Provides granular control over feature releases

• Ability to quickly enable or disable features
• Mitigates the impact of potential issues in production

Improved Experimentation Facilitates data-driven decision making

• Easy implementation of A/B tests
• Gather user feedback on new features before full rollout

Reduced Risk Minimizes the potential negative impact of new releases

• Gradual rollouts allow for early detection of issues
• Quick rollback capabilities if problems arise

Increased Efficiency Streamlines the development and deployment process

• Eliminates the need for code branches for each feature
• Simplifies feature management across different environments