Autoscaling made it fast. It also made it hard to keep track. Servers came and went in seconds. Logs scattered across nodes, regions, and containers. Audit trails blurred. Someone needed answers: who accessed what and when?
When systems scale automatically, your infrastructure is no longer a fixed set of machines. Endpoints shift, IPs rotate, and permission sets change on the fly. Traditional logging strategies struggle because they expect a stable environment. Without a robust, centralized way to record access in real time, you risk blind spots that no alert can fix.
You want consistent visibility even as instances appear and vanish. That means collecting and merging access data from every node, every container, every region, with no loss when autoscaling triggers. Events need timestamps, user IDs, resource IDs, and context. Accuracy depends on synchronized clocks, immutable logs, and correlation between authentication and action.