Why Reactive Autoscaling Isn't Enough — and How ML Changes That
Every major cloud has autoscaling. It's table stakes. But "autoscaling" usually means: observe a metric, cross a threshold, add capacity. That works — until your traffic spikes faster than your VMs boot, or you've padded your fleet so aggressively that you're paying for air. ML can do better. Here's how.
