iter8 experiment to safely expose competing versions of a service to application traffic, gather in-depth insights about key performance and business metrics for your microservice versions, and intelligently rollout the best version of your service.
Iter8’s expressive model of cloud experimentation supports a variety of CI/CD scenarios. Using an iter8 experiment, you can:
winner, where the winning version is defined by the criteria you specify in the experiment.
Under the hood, iter8 uses advanced Bayesian learning techniques coupled with multi-armed bandit approaches to compute a variety of statistical assessments for your microservice versions, and uses them to make robust traffic control and rollout decisions.