DynamoDB - Architecture, Data Modeling, and Optimization Strategies | Uplatz

Amazon DynamoDB is a fully managed, serverless NoSQL database designed for massive scale, predictable performance, and high availability. While DynamoDB eliminates much of the operational burden of traditional databases, building efficient and cost-effective applications requires a deep understanding of its architecture and data modeling principles. This video provides a practical guide to DynamoDB architecture, data modeling, and performance optimization strategies.

This Uplatz Explainer breaks down DynamoDB’s core architecture, including partitions, primary keys, secondary indexes, and the request handling model. You’ll learn how DynamoDB achieves single-digit millisecond latency at scale and how its distributed design influences how data must be modeled and accessed.

The video dives into DynamoDB data modeling, explaining how access patterns drive table design, how to choose partition and sort keys, and how to model one-to-many and many-to-many relationships without joins. We discuss common patterns such as single-table design, denormalization, and using GSIs effectively.

A major focus of the session is optimization strategies. You’ll gain insight into capacity modes (on-demand vs provisioned), auto scaling, hot partition avoidance, query optimization, TTL usage, and cost-control techniques. We also cover best practices for consistency, transactions, backups, and integrating DynamoDB into event-driven and microservices architectures.

This video is ideal for backend developers, cloud engineers, solution architects, DevOps teams, and technology leaders who want to design, optimize, and scale DynamoDB-backed systems—leveraging its strengths while avoiding common pitfalls.

#Uplatz #DynamoDB #AWS #NoSQL #DatabaseArchitecture #DataModeling #CloudDatabases #Serverless #ScalableSystems #BackendDevelopment #ModernDataPlatforms

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