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...It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. Volcano builds upon a decade and a half of experience running a wide variety of high-performance workloads at scale using several systems and platforms, combined with best-of-breed ideas and practices from the open-source community. ...

...You can use these APIs to create components that route events from event producers (known as sources) to event consumers (known as sinks) that receive events. Sinks can also be configured to respond to HTTP requests by sending a response event. Knative Eventing is a standalone platform that provides support for various types of workloads, including standard Kubernetes Services and Knative Serving Services. Knative Eventing uses standard HTTP requests to route events from event producers to event consumers, following the rules set by the CloudEvents specification. This is a standard set up by the CNCF that has wide support for many programming languages, making it easy to create, understand, send, and receive events.