Mountpoint for Amazon S3 now supports explicit memory usage controls, allowing administrators to define hard limits or rely on automatic environment-based defaults. This update addresses previous issues where memory consumption could grow unbounded, potentially destabilizing co-located memory-intensive workloads like ML training. By reserving memory for primary applications, systems running Mountpoint in shared environments such as Amazon EKS can maintain stability and predictable performance.
- Define explicit memory targets for Mountpoint to prevent resource contention.
- Enable automatic memory detection for safe defaults in environments like EKS.
- Stabilize workloads where Mountpoint shares memory budgets with ML or analytics apps.
- Mitigate performance degradation caused by unbounded memory growth in Mountpoint.