AWS published a case study on how ProGlove, an industrial-wearables manufacturer, scaled its SaaS platform to over one million Lambda functions across thousands of dedicated AWS accounts. Key architectural decisions included a one-account-per-tenant isolation model for security and cost attribution, automation via CloudFormation StackSets and AWS Organizations to manage provisioning at scale, and jittered event-driven triggers to avoid self-inflicted DDoS from synchronized cron schedules. Observability costs were tamed by centralizing failures into a dead-letter queue and removing unused SQS queues, reducing idle spend to under $1 per account per month. The post draws parallels with Capital One and DoorDash serverless patterns, emphasizing that cost and quota visibility should drive architectural decisions early.
