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@ -69,7 +69,7 @@ For more information, check the [Design](docs/design.md), [API Specification](do
The Kubernetes Operator for Apache Spark aims to make specifying and running [Spark](https://github.com/apache/spark) applications as easy and idiomatic as running other workloads on Kubernetes. It uses
[Kubernetes custom resources](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/)
for specifying, running, and surfacing status of Spark applications. For a complete reference of the custom resource definitions, please refer to the [API Definition](docs/api.md). For details on its design, please refer to the [design doc](docs/design.md). It requires Spark 2.3 and above that supports Kubernetes as a native scheduler backend.
for specifying, running, and surfacing status of Spark applications. For a complete reference of the custom resource definitions, please refer to the [API Definition](docs/api-docs.md). For details on its design, please refer to the [design doc](docs/design.md). It requires Spark 2.3 and above that supports Kubernetes as a native scheduler backend.
The Kubernetes Operator for Apache Spark currently supports the following list of features: