This blog post introduces the three streaming frameworks that are bundled in the Hortonworks Data Platform (HDP) – Apache Storm, Spark Streaming, and Kafka Streams – and focuses on the supervision features offered to the topologies (aka workflows) running with, or within, these particular frameworks. This post does not attempt to fully described each framework nor does it provide examples of their usage via working code. The goal is to develop an understanding of what, if any, services are available to help with lifecyle events, scalability, management, and monitoring.
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