Beyond RAM: A Technical Deep Dive into Dragonfly SSD Data Tiering

Scaling an in-memory workload past your RAM limit shouldn't mean accepting worse latency, a bigger cluster, or a lock-in to one cloud provider's instance family. In this session, Dragonfly engineers Roman Gershman and Vladislav Oleshko walk through how Dragonfly SSD Data Tiering actually works - from practical use cases for generic caches, ML feature stores and even job processing with Celery to showing and explaining some of the internals that make Dragonfly so efficient. If you're managing a dataset that's outgrown your DRAM budget, this is the session to attend.