Lambda Spiral: $75K Bill in 48 Hours After Error-Handling Flaw Triggers 10M Invocations
A staff engineer's Lambda-powered AI image processing API became a cost nightmare when a viral traffic spike collided with broken error handling. One failed invocation cascaded into millions of retries across chained services, ballooning the bill to $75,000 in a single weekend—despite CloudWatch alarms.
A staff engineer's Lambda-powered real-time AI image processing API was engineered to auto-scale with traffic spikes. On paper, serverless looked perfect. Then a viral marketing push hit, and everything fractured.
Traffic spiked from roughly 10,000 daily invocations to over 10 million in under 12 hours. But the real killer wasn't just volume—it was a flaw in the error-handling logic. One failed invocation spiraled into chained retries across multiple downstream services, amplifying each failure. Cold starts pounded the system. CloudWatch logs exploded. The bill: $75,000 in 48 hours.
The team had CloudWatch alarms configured on invocation and error rates, thresholds set at 10x normal baselines. Should have been early warning. Should have been enough. It wasn't. By the time alerts fired and pages reached on-call, the damage was already done—a two-day runaway cost catastrophe that no traditional alerting threshold could catch fast enough.
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