Building Modern Data-Intensive Systems: A Practical Guide to Distributed Architecture, Scalability, Performance, and Reliability

Building Modern Data-Intensive Systems takes the principles of modern data architecture into the engineering of scalable, reliable, and high-performance systems.As applications grow, data platforms must handle increasing workloads, distributed infrastructure, failures, performance demands, and operational complexity. Building these systems requires more than selecting the right database-it requires understanding how distributed components work together and how to engineer them for resilience and scale.This book explores distributed systems, data infrastructure, database performance, replication, partitioning, fault tolerance, consistency, caching, messaging, event-driven architecture, data processing, cloud infrastructure, scalability, observability, and reliability.You'll learn how to build systems capable of handling growing amounts of data and traffic while maintaining performance, availability, and maintainability. The book also examines practical engineering decisions involved in creating production-ready data platforms.Ideal for software developers, data engineers, database engineers, cloud engineers, and system architects, this book provides practical knowledge for building modern data-intensive systems that can scale and remain reliable in demanding production environments.