A photo processing startup faces duplicate email notifications due to SQS standard queue behavior triggering Lambda multiple times. This drill explores visibility timeout tuning, queue type selection, and deletion timing strategies to achieve exactly-once processing with minimal operational overhead.
When network appliances fail in auto-scaling groups, static routes become stale. This SAP-C02 scenario explores the orchestration pattern combining custom metrics, event-driven automation, and Lambda-based route reconciliation—a real-world decision between operational complexity and infrastructure reliability.
A financial analytics firm wastes 40% of EC2 costs on idle time. This drill analyzes four architectures—Lambda, SQS+ASG, containerized polling, and ECS Fargate—to identify the optimal event-driven solution balancing FinOps impact and operational overhead.
A data analytics startup needs to migrate a Python JSON processing application running thousands of times daily. This drill compares Lambda event triggers, EC2 auto-scaling, ECS containers, and EBS multi-attach solutions through the lens of high availability, scalability, and minimal operational overhead.
When facing 100,000 messages per second with dozens of downstream consumers, this drill explores why streaming architecture fundamentally outperforms batch processing for real-time decoupling.
When faced with extreme message volume spikes (100K msg/sec) and dozens of independent consumers, choosing between SNS+SQS fan-out, Kinesis streams, and autoscaling patterns determines both scalability and cost efficiency.