Distributed Systems

For this third edition of "Distributed Systems," the material has been thoroughly revised and extended, integrating principles and paradigms into nine chapters: 1. Introduction 2. Architectures 3. Processes 4. Communication 5. Naming 6. Coordination 7. Replication 8. Fault tolerance 9. Security A separation has been made between basic material and more specific subjects. The latter have been organized into boxed sections, which may be skipped on first reading. To assist in understanding the more algorithmic parts, example programs in Python have been included. The examples in the book leave out many details for readability, but the complete code is available through the book's Website, hosted at www.distributed-systems.net. A personalized digital copy of the book is available for free, as well as a printed version through Amazon.com.

• Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services
• Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
• Building Microservices: Designing Fine-Grained Systems
• Distributed Systems: Principles and Paradigms
• The Go Programming Language (Addison-Wesley Professional Computing Series)
• Distributed Algorithms: An Intuitive Approach (The MIT Press)
• Systems Performance: Enterprise and the Cloud
• Effective Java (3rd Edition)
• Structure and Interpretation of Computer Programs - 2nd Edition (MIT Electrical Engineering and Computer Science)
• Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale