Best Computer Systems Analysis & Design Books of 2025

This book, System Design Interview – An Insider's Guide: Volume 2, is a sequel to the first volume and covers a different set of system design interview questions and solutions. It is an accessible guide for readers who have a basic understanding of distributed systems and provides a reliable strategy and knowledge base for approaching a broad range of system design questions. It includes a step-by-step framework for tackling system design questions and real-world examples to illustrate a systematic approach. With 13 real system design interview questions and 300+ diagrams, readers will be well-prepared for important interviews. Overall, this book is a valuable resource for those interested in computer systems analysis and design.

This book, titled "Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures", written by Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani is a comprehensive guide for architects who are looking to make critical decisions about distributed architectures. It provides techniques to help discover and analyze trade-offs and effectively document decisions, making it an essential resource for software development professionals. The authors use a fictional group of technology professionals to discuss strategies for choosing appropriate architecture and managing workflows and transactions when breaking apart applications. The book is an excellent resource for architects who want to make better decisions regarding service granularity and handle data in a highly distributed architecture.

Fundamentals of Software Architecture: An Engineering Approach provides a comprehensive overview of software architecture's many aspects, covering architectural patterns, soft skills, components, and modern practices. The authors, Mark Richards and Neal Ford, are experienced practitioners who focus on architecture principles that apply across all technology stacks. The book is a valuable guide for both aspiring and existing architects, offering repeatable results, metrics, and concrete valuations that add rigor to software architecture. Overall, the book is a must-read for anyone interested in software architecture, and its practical approach makes it stand out from other books on the same topic.

Domain-Driven Design: Tackling Complexity in the Heart of Software by Eric Evans is a must-read for software developers. The book provides a solid framework and set of techniques for domain modeling, which is argued as the central focus of development. Evans emphasizes the importance of the language used to talk about the problem domain and how it reflects the software design. Refactoring is also a major part of the technique. Written in a fun and practical way, the book is a future classic and belongs on every thoughtful software developer's shelf.

The second edition of "A Common-Sense Guide to Data Structures and Algorithms" by Jay Wengrow offers practical techniques and real-world scenarios for mastering algorithms and data structures. The book covers Big O notation, recursion, advanced data structures, and more, with examples in JavaScript, Python, and Ruby. The exercises in each chapter help readers apply the concepts and improve their coding skills. Overall, this book is an excellent resource for developers who want to write faster, more efficient code and scale their applications.

"Terraform: Up and Running: Writing Infrastructure as Code" is a must-read for anyone interested in DevOps and infrastructure management. The book offers a hands-on approach to learning Terraform, a powerful tool for managing infrastructure as code across different cloud platforms. The author, Yevgeniy Brikman, provides clear explanations and code examples that make it easy for both novice and experienced developers to learn and implement Terraform. The book is updated for version 1.0 and beyond, making it an essential resource for anyone looking to keep up with the latest trends in infrastructure management. Overall, "Terraform: Up and Running" is an excellent resource for anyone looking to streamline their infrastructure management processes.

This book, "Data Mesh: Delivering Data-Driven Value at Scale" by Zhamak Dehghani, introduces a new approach to analytical data management - data mesh. The author explains how this decentralized sociotechnical paradigm drawn from modern distributed architecture can help organizations to manage and get value from their data sources, domains, and aspirations through a multidimensional approach. The book offers a complete introduction to data mesh principles and its constituents, design, strategy, execution, and organizational design. This book is a must-read for practitioners, architects, technical leaders, and decision-makers who want to move beyond traditional data warehouses and lakes to a distributed data mesh.

Site Reliability Engineering: How Google Runs Production Systems is a collection of essays and articles written by key members of Google’s Site Reliability Team. The book explains how Google's commitment to the entire lifecycle has enabled the company to build, deploy, monitor, and maintain some of the largest software systems in the world. The book is divided into four sections, covering the introduction, principles, practices, and management of site reliability engineering. This book is a must-read for anyone interested in learning about site reliability engineering and its practical applications.

This book presents a candid and insightful look at how some of the world's leading practitioners construct and maintain software, based on their experience at Google. It covers Google's unique engineering culture, processes, and tools, and how these aspects contribute to the effectiveness of an engineering organization. The book emphasizes the difference between programming and software engineering, with a focus on developing proper engineering practices to make codebases sustainable and healthy. Overall, "Software Engineering at Google: Lessons Learned from Programming Over Time" is a valuable resource for software engineers who want to learn how to manage living codebases that evolve and respond to changing requirements and demands.

C#: 3 books in 1 is a comprehensive guide for anyone looking to learn C# programming quickly and easily. This bundle of books covers everything from the basics of writing computer programs to advanced decision statements and flow control. The author uses a practical and easy-to-understand approach, making it simple for beginners to start their journey and for those with more experience to improve their programming skills. The book is a great resource for developers looking to build robust and secure applications, even if they have no prior coding knowledge. Overall, this book is an excellent choice for anyone looking to master C# programming.