Rethinking Auto-Scaling for Bursty, Unpredictable Workloads
Most auto-scaling systems were designed with a comforting assumption in mind, that traffic grows and shrinks smoothly enough for reactive policies to keep up. That assumption breaks down constantly in production. A marketing campaign goes live, a video clip goes viral, a batch job kicks off at an unexpected hour, and suddenly a service that handled steady load gracefully is drowning in requests...
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