Integrating Apache Spark with Cloud‑Native Technologies: Principles, Kubernetes Deployments, EMR on ACK, and Serverless Spark on DLF
This article examines the challenges of traditional Spark clusters and explains how integrating Spark with cloud‑native platforms—through Kubernetes deployment modes, EMR on ACK practices, Remote Shuffle Service, and serverless Spark on DLF—provides elastic scaling, lower operational costs, and advanced features such as executor rolling and custom scheduler support.