[Podcast] PodCTL #8 - Managing High Performance Workloads
October 2, 2017 | by
Go bigger and go faster! That's the theme of this week's show with Jeremy Eder (@jeremyeder, Senior Principal Software Engineer at Red Hat), as we discuss the newly formed Kubernetes Resource Management Working Group. The show focuses on how this cross-functional group is working on these core strategies:
Support for performance sensitive workloads (exclusive cores, cpu pinning strategies, NUMA)
Integrating new hardware devices (GPUs, FPGAs, Infiniband, etc.)
APIs and extensions related to the features mentioned above
Jeremy gives us great insight into how the WG is taking input from customer-centric communities such as Financial Services, Telecom, High-Performance Computing and Scientific Research, and Animation (as well as many others) to drive the next broad set of applications to run on Kubernetes.
In distributed computing, where processing and data are spread over multiple computers—usually over a network—what’s important is the ability to migrate distributed environments, or any environment, ...