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.
Explore how to balance Point-in-Time Recovery, Global Tables, and backup strategies to meet aggressive disaster recovery objectives for DynamoDB workloads without over-engineering.
A high-level analysis of DynamoDB billing models (Provisioned vs. On-Demand) and how Reserved Capacity combined with Auto Scaling delivers optimal TCO for write-heavy workloads with predictable weekly peaks.
A professional-level analysis comparing API Gateway direct integration vs Lambda-based patterns for DynamoDB exposure, with FinOps quantification and real-world trade-off matrices.
When a few aggressive API clients degrade service quality for all users, should you fix the symptom (retry logic) or the root cause (rate limiting)? This drill explores the architectural decision between client-side resilience and platform-level throttling controls.
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.
Analyze the trade-offs between serverless, container-based, and traditional EC2 architectures for handling millions of hourly requests in a daily flash sale scenario, focusing on latency, scalability, and operational simplicity.