AWS AppConfig launches managed experimentation tools for A/B testing

AWS AppConfig announces the general availability of experimentation tools that allow you to run A/B tests and feature experiments without building or managing separate experimentation infrastructure. Built on over 25 years of Amazon experimentation best practices, these tools use AI-driven guidance to help build robust experiments with exposure control and locked treatment allocations for confident, data-driven decisions. You can run A/B tests and multivariate experiments across your application stack-from UI changes and recommendation algorithms to AI model selections and prompt experiments. Define feature variations, target granular audiences with a rule builder, and set traffic allocation percentages via the AWS Management Console, CLI, API, or AWS CDK. AI-assisted experiment design validates your setup against Amazon's best practices to ensure sufficient statistical power. Customers set up and run experiments in AWS AppConfig, then analyze results using Amazon CloudWatch or existing analytics tools. At the end of the experiment, promote the winning treatment to production through a standard AWS AppConfig safe rollout. Experiments work across workloads on Amazon EC2, AWS Lambda, Amazon ECS, Amazon EKS, and on-premises servers through the AWS AppConfig Agent.