Core Solution Architecture

Integrate LaunchDarkly or Split.io with machine learning models for real-time evaluation of rollout data

Implementation Framework

Define key health metrics, assess against baseline performance, and receive daily automated reports for actionable insights

Real-World Impact

Achieve up to 40% fewer production incidents and 30% faster feature release velocity with AI-driven feature flagging

About this playbook

Join us to master the implementation of AI-first feature flagging, ensuring safe and efficient feature rollouts. Learn to prevent incidents, automate decisions, and align cross-functional teams for successful progressive delivery. Enroll now to unlock the potential of intelligent feature flagging in your projects.

Course Curriculum

  1. 1

    Introduction to Intelligent Feature Flagging

    1. (Included in full purchase)
    2. (Included in full purchase)
  2. 2

    Chapter 1

    1. (Included in full purchase)
  3. 3

    Chapter 2

    1. (Included in full purchase)
  4. 4

    Chapter 3

    1. (Included in full purchase)
  5. 5

    Chapter 4

    1. (Included in full purchase)
  6. 6

    Chapter 5

    1. (Included in full purchase)
  7. 7

    Resources

    1. (Included in full purchase)
    2. (Included in full purchase)
    3. (Included in full purchase)
    4. (Included in full purchase)
    5. (Included in full purchase)

Ready to Master Intelligent Feature Flagging?

Enroll now to gain the skills to prevent incidents, automate decisions, and accelerate feature releases with AI-driven feature flagging.