Running Apache Spark on Kubernetes: Best Practices and Pitfalls
Summary
Running Apache Spark on Kubernetes in a stable, performant, cost-efficient and secure way is covered through lessons from building Data Mechanics, a serverless Spark platform powered by Kubernetes. Topics include core setup, configuration for performance and resource sharing, dynamic allocation and cluster autoscaling, data I/O performance, monitoring and security, and current limitations.
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