EverC migrated its Spark-based data platform from a costly managed service to Amazon EMR on EKS, leveraging existing Kubernetes infrastructure to reduce platform costs and improve compute predictability. The migration preserved analyst notebook workflows via EMR Studio while enabling fine-grained scheduling, spot instance usage, and shared infrastructure for both batch ETL and interactive workloads. Key takeaways include: existing EKS clusters can serve as Spark platforms at marginal cost, workload shape should drive EMR deployment model selection, and analyst workflow continuity is critical to migration success.
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The Setup: Spark at the Center, Costs ClimbingPicking the Right EMR FlavorKeeping the Notebook Experience IntactThe OutcomeWhy This Pattern WorksRead the Full Case StudySort: