When migrating a multi-tier application to AWS, choosing between synchronous scaling and asynchronous decoupling determines both operational efficiency and long-term TCO. This drill explores why queue-based architectures win for resilience.
A retail analytics startup struggles with EC2 performance bottlenecks during multi-SaaS data ingestion. This drill explores the trade-off between managed integration services, event-driven architectures, and 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 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.
Modernizing a legacy master-worker application requires eliminating single points of failure. This drill explores why queue-based decoupling with demand-driven autoscaling beats scheduled scaling and monolithic coordination patterns.
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.