Best Practices for Embracing EKS for Spark Workloads
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Learn from Kubernetes and Big Data streaming optimization experts
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Insights from EKS, Spark and EMR Leaders
More and more businesses are using data streaming and processing infrastructure like Spark on Kubernetes environments like Amazon EKS. However, many challenges arise when employing such a methodology, like resource management, cluster scalability, containerization complexities, and more.
In this session with Kiran Guduguntla, Worldwide GTM Leader at AWS Analytics, about why these migrations are growing in popularity, the cost challenges that come with Spark streaming on containerized environments, and how to mitigate these risks with performance optimization and other techniques.