DynamoDB Design: From Requirements to ProductionA Practical Guide to Understanding Access Patterns, Data Modeling, Keys, Capacity, Performance, Cost, and ReliabilityDynamoDB is easy to start using. Designing a DynamoDB system that remains efficient, predictable, reliable, and maintainable in production is a different problem.DynamoDB Design: From Requirements to Production takes a practical, engineering-focused approach to Amazon DynamoDB-moving beyond API syntax and isolated recipes to the decisions that determine whether a DynamoDB architecture actually fits its workload.The central idea is simple: Start with the application's requirements and access patterns-not the table.You will learn how to turn application requirements into access patterns, data models, key structures, workload assumptions, and production operating practices. The book connects these decisions into a complete engineering chain: Requirements ? Access Patterns ? Data Model ? Key Design ? Workload ? Capacity ? Performance ? Cost ? Reliability ? OperationsInside the Book, You Will Learn How To: Understand how DynamoDB differs from relational database designDesign tables around application access patternsIdentify and classify access patterns before choosing keysDesign effective partition keys and sort keysUnderstand item collections and workload distributionApply composite keys and practical sort-key patternsDecide when Global Secondary Indexes (GSIs) and Local Secondary Indexes (LSIs) are appropriateEvaluate single-table and multi-table designs based on actual requirements rather than following a universal ruleUse denormalization and co-location deliberatelyModel relationships without relying on relational joinsEvaluate competing DynamoDB data modelsUnderstand read and write capacityChoose between on-demand and provisioned capacityDiagnose hot keys, hot partitions, and throttlingUnderstand how item size and indexes affect capacity and costDesign for predictable performance and economic efficiencyChoose appropriate consistency modelsImplement conditional writes and optimistic concurrencyUse transactions and atomic operations where appropriateDesign for retries, idempotency, and failure handlingBuild correct application state transitionsMonitor DynamoDB workloads and investigate operational problemsDiagnose throttling and performance issuesApproach streams, backups, recovery, and disaster planningApply security, governance, and operational controlsUnderstand DynamoDB Global Tables and multi-Region architecturesIntegrate DynamoDB with event-driven systems, search, analytics, AI, embeddings, and vector-search architecturesApproach production migrations and redesignsRe-evaluate DynamoDB designs as application requirements and workloads evolveThis is not a book about memorizing DynamoDB API calls. It is about understanding the engineering decisions behind them.Stop starting with the table. Start with the questions your application must answer.Then design the DynamoDB system that can answer them efficiently, predictably, and reliably.
