In the nearly two decades since Amazon Web Services first introduced EC2, cloud computing has transformed how people build and deploy applications. Yet one fundamental friction point has persisted unchanged: that dreaded dropdown asking "How much storage do you want to attach to this server?"
This seemingly simple question represents a deeper architectural problem that forces developers to make premature optimization decisions. Before they've even launched their application, they must predict storage needs, understand IOPS configurations, and plan for data transfer scenarios, all while paying for unused capacity.
The Storage Guessing Game
The current state of cloud storage places an unreasonable burden on developers. When deploying a 200GB machine learning model to Kubernetes, tea
Archil’s $6.7M Bet Against Cloud Storage’s 20-Year-Old Problem
- By Upasana Banerjee
- Published on
The current state of cloud storage places an unreasonable burden on developers
