Memory Autoscaling Policy

Memory Autoscaling Policy is a compute control loop that changes capacity based on demand signals for volatile runtime storage. It uses metrics, thresholds, and cooldowns so teams can match resources to load while keeping evidence, reliability, and public-safe operational boundaries clear.

“The platform engineering team used Memory Autoscaling Policy when the process approached its memory limit, so the team could match resources to load before the workload scaled up.”