May 1, 2024
Updated May 10, 2025
22 minute read
A distributed system is a collection of independent computer components, often spread across a network, that appear to users as a single, cohesive system. These components work together by communicating and coordinating their actions to achieve a common goal, such as processing large amounts of data or handling high volumes of user requests. The internet itself is a vast example of a distributed system, and chances are, you interact with numerous distributed systems daily, from using search engines and social media to online shopping and banking.
Working with distributed systems can be incredibly engaging. Imagine building software that can handle millions of users simultaneously or designing systems that remain operational even if some of their parts fail. This field offers the thrill of tackling complex technical challenges and the satisfaction of creating robust, scalable, and resilient applications that power modern technology. Furthermore, the constant evolution of distributed systems, with new technologies and approaches emerging regularly, ensures a dynamic and intellectually stimulating career path.
Introduction to Distributed Systems
This section will provide a foundational understanding of distributed systems, exploring what they are, how they came to be, and why they are so crucial in today's technological landscape. This will set the stage for a deeper dive into the core concepts and practical aspects of working with these complex yet fascinating systems.
Definition and core characteristics of distributed systems
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Reading list
We've selected 29 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Distributed Systems.
Is widely considered a must-read for anyone working with distributed systems. It provides a comprehensive overview of the fundamental concepts and challenges in building data-intensive applications, which form the basis of many distributed systems. It's highly valuable as a reference tool and is often recommended as essential reading for both students and professionals.
A foundational textbook providing a broad understanding of distributed systems principles. It covers essential topics like communication, synchronization, consistency, and fault tolerance with clear explanations and real-world examples. is commonly used as a textbook in university programs and solid resource for gaining prerequisite knowledge.
Microservices are a prevalent architectural style in modern distributed systems. provides a practical guide to designing and implementing microservices, covering topics like service decomposition, communication, and deployment. It's highly relevant for professionals and students interested in contemporary distributed system architectures.
Following up on the concept of microservices, this book dives into common patterns for building microservices-based applications. While it includes Java examples, the patterns themselves are broadly applicable. It's valuable for deepening understanding of practical microservices implementation strategies.
Authored by Google SREs, this book provides invaluable insights into operating large-scale distributed systems reliably. It covers practices like monitoring, incident response, and capacity planning, which are critical for the successful operation of distributed systems in the real world.
Contemporary distributed systems often involve large-scale data processing, and this book focuses on streaming systems. It covers the principles and practices of building systems for processing data in motion, a key aspect of many modern distributed applications.
This textbook covers a wide range of topics in distributed computing, including principles, algorithms, and systems. It's a valuable resource for gaining a solid academic understanding of the field and is suitable for advanced undergraduate or graduate-level study.
Classic in the field, focusing on the theoretical underpinnings of distributed algorithms. It's a rigorous exploration of fundamental problems like consensus, and while theoretical, it solidifies understanding of the core algorithmic challenges in distributed systems. It is more suitable for those seeking a deep, theoretical understanding.
Given the importance of data in distributed systems, understanding how databases work internally is crucial. explores the fundamental concepts behind distributed data systems, including storage engines and replication. It provides valuable background knowledge for anyone building or working with data-intensive distributed applications.
Apache Kafka widely used distributed streaming platform. provides a comprehensive guide to Kafka, covering its architecture, design, and implementation. It's highly relevant for anyone working with or interested in stream processing in distributed systems.
Covers the fundamentals of distributed systems, including communication, concurrency, fault tolerance, and security. It emphasizes hands-on examples and practical techniques.
Covers the design of data-intensive applications that run on distributed systems. It covers topics such as data modeling, partitioning, replication, and caching.
Offers an approachable introduction to distributed systems concepts for developers. It aims to provide a solid understanding of the key challenges and considerations when working with large distributed applications. It's a good starting point for those new to the field before diving into more in-depth texts.
Focuses on building distributed services using the Go programming language. It provides hands-on guidance and practical examples for developing reliable and scalable distributed systems, making it particularly useful for developers working with Go.
For organizations migrating from monolithic architectures to microservices, this book provides essential guidance and patterns for a successful transformation. It addresses common challenges and strategies for decomposing monoliths into distributed services.
Covers the principles and best practices for working with big data. It covers topics from data collection and storage to data analysis and visualization.
Provides a comprehensive overview of cloud computing principles and paradigms. It covers topics from cloud architecture to cloud security and cloud economics.
While not solely focused on distributed systems, this book is essential for understanding the challenges of building and deploying reliable software in production environments, which is highly relevant to distributed systems. It covers patterns and practices for making systems resilient to failure.
While not strictly a distributed systems book, Domain-Driven Design (DDD) provides valuable principles for managing complexity in software, which is particularly relevant when designing microservices and other distributed architectures. It helps in understanding how to model the problem domain effectively.
While not exclusively about distributed systems, this book by Martin Fowler provides foundational knowledge on enterprise application architecture patterns, many of which are applicable to designing and building distributed systems. It's a valuable reference for software architects and senior developers.
Teaches readers how to build distributed systems using Java. It covers topics from object-oriented design to concurrency and distributed transactions.
Teaches readers how to build distributed systems using Rust. It covers topics from concurrency to message queues and distributed databases.
Teaches readers how to build distributed systems using Erlang. It covers topics from concurrency to message queues and distributed databases.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/gb15m5/distributed
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