Running Remote Shuffle Service to Solve Apache Spark's Dynamic Resource Allocation Challenge on Kubernetes

Explore a novel solution to Apache Spark's dynamic resource allocation (DRA) challenge on Kubernetes using an open-source remote shuffle service (RSS). Gain insights into Spark's DRA in Kubernetes, learn how the RSS alleviates resource contention issues, and discover a more reliable and scalable solution for big data processing. Understand how offloading shuffle data to remote storage outside Spark's executor pods can decouple storage and compute, supporting dynamic scaling needs. Delve into the implementation details, benefits, and potential impact of this approach for efficient large-scale data processing in machine learning and ETL use cases.

Running Remote Shuffle Service to Solve a Well-Known Challenge for Apa... Melody Yang & Keyong Zhou