Top Distributed Systems books recommended by experts

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Table of Contents

Fundamentals of Distributed Systems

Understanding the concepts of Distributed Systems starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of…

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The Kubernetes Book: 2024 Edition

The Kubernetes Book, by Nigel Poulton, renowned author and video trainer, is up to date with the latest trends in Kubernetes and the rapidly evolving cloud-native ecosystem.
Containers transformed how we package and deploy applications, but they came with inherent challenges. Kubernetes is a platform for deploying and managing containerised applications at scale. It also abstracts underlyin…

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Site Reliability Engineering: How Google Runs Production Systems

The overwhelming majority of a software systemâ??s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?
In this collection of essays and articles, key members of Googleâ??s Site Reliability Team explain how and why their commitment to the enti…

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Essential Mathematics for Quantum Computing: A beginner's guide to just the math you need without needless complexities

Quantum computing is an exciting subject that offers hope to solve the world's most complex problems at a quicker pace. It is being used quite widely in different spheres of technology, including cybersecurity, finance, and many more, but its concepts, such as superposition, are often misunderstood because engineers may not know the math to understand them. This book will teach the requisite m…

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Building Microservices: Designing Fine-Grained Systems

Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. Youâ??ll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.

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Technology Strategy Patterns: Architecture as Strategy

Technologists who want their ideas heard, understood, and funded are often told to speak the language of businessâ??without really knowing what that is. This bookâ??s toolkit provides architects, product managers, technology managers, and executives with a shared languageâ??in the form of repeatable, practical patterns and templatesâ??to produce great technology strategies.

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Additional Distributed Systems Reading

These books are not required for you to learn Distributed Systems, but they are highly recommended for you to deepen your knowledge.

Understanding Distributed Systems

Learning to build distributed systems is hard, especially if they are large scale. It's not that there is a lack of information out there. You can find academic papers, engineering blogs, and even books on the subject

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Distributed Systems: Principles and Paradigms

This second edition of Distributed Systems, Principles & Paradigms, covers the principles, advanced concepts, and technologies of distributed systems in detail, including: communication, replication, fault tolerance, and security. Intended for use in a senior/graduate level distributed systems course or by professionals, this text systematically shows how distributed systems are designed and i…

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Distributed algorithms

Distributed Algorithms contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting. The algorithms are proved correct, and their complexity is analyzed according to precisely defined complexity measures. The problems covered include resource allocation, communication, consensus among distributed processes, data consistency, deadloc…

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