Memory Placement Strategy

Memory Placement Strategy is a compute scheduling rule that chooses where workloads should run for volatile runtime storage. It uses affinity, topology, availability, and cost signals so teams can improve reliability and efficiency while keeping evidence, reliability, and public-safe operational boundaries clear.

“The platform engineering team used Memory Placement Strategy when the process approached its memory limit, so the team could improve reliability and efficiency before the workload scaled up.”