Managing batch workloads is significantly different than running stable microservices on Kubernetes. Often you end up developing custom solutions that are hard to manage, optimize, and maintain. This talk covers how to run compute-intensive, high-scale workloads on your EKS clusters, including defining compute resources, work queues and job lifecycles, and the security requirements for accessing data and other AWS services. We will cover the challenges you’ll face, describe EKS and Kubernetes features that are most important for batch workloads, and share best practices for running batch workloads at scale on EKS.
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