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 third-party dependencies fail in high-throughput IoT pipelines, the solution isn’t just adding a queue—it’s architecting for graceful degradation. This drill examines the SQS decoupling pattern, DLQ strategies, and why API Gateway direct integrations beat Lambda intermediaries for resilience.
A financial analytics startup needs to process variable file uploads from S3 with minimal operational overhead. This drill compares serverless Lambda, EC2-based processing, EMR clusters, and Kinesis streaming—revealing why event-driven architectures trump traditional compute for unpredictable workloads.
A professional-level analysis of migrating bursty, hour-long file processing from on-premises to AWS, comparing Lambda limitations, EC2 Auto Scaling, MQ vs. SQS, and EFS vs. S3 storage—culminating in a FinOps-driven decision matrix.
A professional-level analysis of refactoring a video upload and processing application from EC2-centric architecture to serverless, focusing on operational overhead reduction and FinOps optimization for AWS SAP-C02.
When Lambda quota limits block scalability, the solution isn’t always more compute—it’s architectural decoupling. Learn why SQS-based buffering beats refactoring to EC2 or switching databases.
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.