- Chapter 1: Introduction to Distributed Systems
- What are Distributed Systems?
- Evolution of Distributed Systems
- Key Characteristics of Distributed Systems
- Challenges in Distributed Systems
- Benefits of Distributed Systems
- Distributed Systems vs. Monolithic Systems
- Real-world Examples of Distributed Systems
- Why Java for Distributed Systems?
- Conclusion
- Key Takeaways
- Further Reading
- Chapter 2: Fundamentals of Distributed Computing
- Distributed Computing Models
- Client-Server Architecture
- Peer-to-Peer Architecture
- N-tier Architecture
- Microservices Architecture
- Event-Driven Architecture
- Service-Oriented Architecture (SOA)
- Communication Paradigms
- Time and Ordering in Distributed Systems
- Conclusion
- Key Takeaways
- Further Reading
- Chapter 3: Java Foundations for Distributed Systems
- Introduction
- Java Platform Features for Distributed Computing
- Java Virtual Machine (JVM) in Distributed Environments
- Java Memory Model (JMM)
- Java Concurrency Utilities (
java.util.concurrent)
CompletableFutureand Asynchronous Programming
- Java I/O and NIO for Network Programming
- Java Serialization and Alternatives
- Conclusion
- Key Takeaways
- Further Reading
- Chapter 4: Network Programming in Java
- Java Networking Fundamentals
- Socket Programming
- Non-blocking I/O with NIO
- Asynchronous I/O with NIO.2
- HTTP Client Programming
- WebSockets in Java
- Network Security Considerations
- Conclusion
- Key Takeaways
- Further Reading
- Chapter 5: Messaging Systems in Java
- Introduction to Messaging Systems
- Java Message Service (JMS)
- Apache Kafka
- RabbitMQ
- Messaging Patterns and Best Practices
- Conclusion
- Key Takeaways
- Further Reading
- Chapter 6: RESTful Web Services in Java
- Introduction to RESTful Web Services
- Java APIs for RESTful Web Services
- Advanced RESTful API Design
- Consuming RESTful APIs in Java
- Security in RESTful Web Services
- Best Practices for RESTful Web Services
- Conclusion
- Key Takeaways
- Further Reading
- Chapter 7: Data Consistency and Replication
- Introduction to Data Consistency in Distributed Systems
- Replication Strategies in Distributed Systems
- Implementing Data Consistency in Java
- Implementing Replication in Java
- Consistency Patterns and Best Practices
- Case Study: Building a Distributed Banking System
- Conclusion
- References
- Chapter 8: Distributed Transactions and Concurrency Control
- Introduction to Distributed Transactions
- Distributed Transaction Protocols
- Concurrency Control in Distributed Systems
- Implementing Distributed Transactions in Java
- Best Practices for Distributed Transactions
- Case Study: Building a Distributed E-Commerce System
- Conclusion
- References
- Chapter 9: Distributed Caching
- Introduction to Distributed Caching
- Caching Strategies
- Cache Eviction Policies
- Cache Invalidation Strategies
- Distributed Caching Architectures
- Conclusion
- References
- Chapter 10: Service Discovery and Load Balancing
- Introduction to Service Discovery and Load Balancing
- Service Discovery Patterns
- Service Registry Implementations
- Load Balancing Strategies
- Load Balancer Implementations
- Health Checking and Circuit Breaking
- Case Study: Building a Resilient Microservices Architecture
- Best Practices for Service Discovery and Load Balancing
- Conclusion
- References
- Chapter 11: Fault Tolerance and Resilience
- Introduction to Fault Tolerance and Resilience
- Failure Modes and Analysis
- Fault Tolerance Patterns
- Resilience4j: A Comprehensive Fault Tolerance Library
- Fault Tolerance in Spring Boot Applications
- Distributed Tracing for Fault Analysis
- Testing Fault Tolerance
- Case Study: Building a Resilient E-Commerce System
- Best Practices for Fault Tolerance
- Conclusion
- References
- Chapter 12: Security in Distributed Systems
- Introduction to Security in Distributed Systems
- Authentication and Identity Management
- Authorization and Access Control
- Secure Communication
- Data Protection
- API Security
- Security Monitoring and Auditing
- Security Testing
- Case Study: Securing a Microservices Architecture
- Best Practices for Securing Distributed Systems
- Conclusion
- References
- Chapter 13: Microservices Architecture with Java
- Introduction to Microservices
- Designing Microservices
- Implementing Microservices with Java
- Deploying Microservices
- Monitoring and Observability
- Case Study: Building a Microservices E-Commerce Platform
- Best Practices for Microservices
- Conclusion
- References
- Chapter 14: Cloud-Native Distributed Systems with Java
- Introduction to Cloud-Native Development
- Containerization with Docker
- Orchestration with Kubernetes
- Cloud-Native Java Frameworks
- Serverless Java
- Service Mesh
- Observability
- Case Study: Building a Cloud-Native E-Commerce Platform
- Best Practices for Cloud-Native Java
- Conclusion
- References
- Chapter 15: Reactive Programming in Distributed Systems
- Introduction to Reactive Programming
- Reactive Streams Specification
- Reactive Programming Libraries in Java
- Reactive Web Applications with Spring WebFlux
- Reactive Microservices
- Testing Reactive Applications
- Performance Considerations
- Best Practices for Reactive Programming
- Case Study: Building a Reactive Stock Trading Platform
- Conclusion
- References
- Chapter 16: Event-Driven Architecture in Distributed Systems
- Introduction to Event-Driven Architecture
- Event-Driven Patterns and Models
- Event-Driven Frameworks and Technologies in Java
- Implementing Event-Driven Architecture in Java
- Case Study: Building an E-Commerce Platform with Event-Driven Architecture
- Conclusion
- References
- Chapter 17: Testing and Debugging Distributed Systems in Java
- Introduction to Testing Distributed Systems
- Unit Testing Distributed Components
- Integration Testing
- Component Testing
- End-to-End Testing
- Chaos Testing
- Performance Testing
- Debugging Distributed Systems
- Best Practices for Testing Distributed Systems
- Case Study: Testing a Microservices-Based E-Commerce Platform
- Conclusion
- References
- Chapter 18: Performance Optimization in Distributed Systems
- Introduction to Performance Optimization
- JVM Optimization for Distributed Systems
- Network Optimization
- Data Serialization Optimization
- Database Optimization
- Caching Strategies
- Asynchronous Processing
- Load Balancing and Scaling
- Code-Level Optimizations
- Monitoring and Profiling
- Case Study: Optimizing a Microservices-Based E-Commerce Platform
- Best Practices for Performance Optimization
- Conclusion
- References
- Chapter 19: Containerization and Orchestration of Java Distributed Systems
- Introduction to Containerization and Orchestration
- Containerization with Docker
- Orchestration with Kubernetes
- Advanced Orchestration Techniques
- Case Study: Containerizing and Orchestrating a Java Microservices Application
- Best Practices and Recommendations
- Conclusion
- References
- Chapter 20: Conclusion and Best Practices
- Reflecting on the Journey Through Distributed Systems
- Core Principles of Distributed Systems
- Essential Patterns for Distributed Systems
- Best Practices for Java-Based Distributed Systems
- Common Challenges and Solutions
- Case Study: Building a Scalable E-Commerce Platform
- The Road Ahead: Continuing Your Distributed Systems Journey
- Final Thoughts
- References
Distributed Systems in Java
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Master the Art of Building Robust, Scalable Distributed Applications
This comprehensive guide to distributed systems using Java provides both theoretical foundations and practical implementation techniques for developers, architects, and students. Spanning 22 chapters of meticulously organised content, this book bridges the gap between academic concepts and real-world application development.
Key Features:
• Complete Coverage: From fundamental distributed computing concepts to advanced topics like microservices, event-driven architecture, and serverless computing • Java-Focused Implementation: All examples and code snippets use Java, demonstrating how to leverage its robust ecosystem for distributed systems • Practical Approach: Real-world examples, case studies, and best practices that can be immediately applied to your projects • Progressive Learning Path: Structured to build knowledge systematically, from basic client-server models to complex distributed architectures • Performance Optimisation: Dedicated sections on testing, debugging, and optimising distributed applications
Perfect For:
- Software developers looking to expand their skills in distributed systems
- System architects designing scalable enterprise applications
- Students and educators in computer science and software engineering
- DevOps professionals managing distributed infrastructures
Whether you're building your first networked application or architecting complex cloud-native systems, this book provides the knowledge and tools you need to succeed in today's distributed computing landscape.
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