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SLO validation, A/B testing and Progressive Delivery

Easily optimize business metrics and validate SLOs when deploying apps and ML models on Kubernetes.

Quick start in 5 mins

Why Iter8?

Experiments

Automate A/B, A/B/n, Canary, and Conformance experiments. Compare multiple versions. Find and safely promote the winning version based on business metrics and SLOs.

Any K8s stack

Experiment over Knative, KFserving, or Istio. Or extend Iter8 over any K8s stack of your choice by adding just a few RBAC rules.

Metrics

Use metrics from any provider in your experiments, including Prometheus, New Relic, Sysdig and Elastic.

AI-driven

Under the hood, Iter8 uses rigorous Bayesian analysis for version assessments and multi-armed bandit algorithms for traffic shifting.

Progressive rollout

Progressively shift traffic towards the winning version or specify a fixed traffic split during an experiment.

Traffic engineering

Protect end-user experience with traffic engineering features such as mirroring, user segmentation, dark launch, and sticky sessions.

Talk to us on slack

Slack

Interested in learning more, speaking to other contributors, or finding answers?

Contributors welcome

Contribute

Want to join the fun? New users and contributors are always welcome!