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# Iter8 Features at a Glance | ||
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Iter8 enables app/ML model developers, service operators, SREs, ML engineers, and data scientists to achieve the following goals. | ||
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- Automate validation/releases over **any** cloud stack; tutorials are documented for **Knative**, **KFServing**[^1] and **Istio**[^2]. | ||
- Declaratively specify validation/release goals using an **experiment** - Kubernetes custom resource defined by Iter8. | ||
- **Conformance** and **Canary** testing. | ||
- **Progressive**, **fixed-split**, and **dark-launched** deployments. | ||
- Specify SLOs and SLIs. | ||
- **Traffic mirroring** and **traffic segmentation**. | ||
- Use Helm, Kustomize, and plain YAML/JSON manifests. | ||
- Use Out-of-the-box metrics custom metrics that can be defined using metrics in **Prometheus**. | ||
- Statistically rigorous evaluation of versions, traffic splitting, and promotion/rollback decisions using **Bayesian learning** and **multi-armed bandit** algorithms. | ||
- Observe experiments in realtime. | ||
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[^1]: An initial version of Iter8 for KFServing is available [here](https://github.com/iter8-tools/iter8-kfserving). An updated version is coming soon. | ||
[^2]: An earlier version of Iter8 for Istio is available [here](https://github.com/iter8-tools/iter8). An updated version is coming soon. |
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