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Iter8 packs a number of powerful features that facilitate Kubernetes app testing. They include the following.
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Iter8 packs a number of powerful features that facilitate Kubernetes application and ML model testing. They include the following:
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1.**Generating load and collecting built-in metrics for HTTP and gRPC services.** Simplifies performance testing by eliminating the need to setup and use metrics databases.
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2.**Readiness check.** The performance testing portion can be configured to start only after the service is ready.
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3.**Test anywhere.** Iter8 performance tests can be launched inside a Kubernetes cluster, in local environments, or inside a GitHub Actions pipeline.
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4.**Traffic controller.** Automatically and dynamically reconfigures routing resources based on the state of Kubernetes apps/ML models.
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5.**Client-side SDK.** Facilitates routing and metrics collection task associated with distributed (i.e., client-server architecture-based) A/B/n testing in Kubernetes.
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1.**Use any resource types.** Iter8 is easily extensible so that an application being tested can be composed of any resource types including CRDs.
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2.**Client SDK.** A client SDK enables application frontend components to reliably associate business metrics with the contributing version of the backend thereby enabling A/B/n testing of backends.
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3.**Composable test tasks.** Performance test tasks include load generation and metrics storage simplifying setup.
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Please see [https://iter8.tools](https://iter8.tools) for the complete documentation.
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@@ -42,6 +41,8 @@ See [here](CONTRIBUTING.md) for information about ways to contribute, finding an
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Iter8 is primarily written in `Go` and builds on a few awesome open source projects including:
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