ModernJavaCollection

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.

Functional Programming in Java: A Practical Guide is a comprehensive, production-ready resource for Java developers who want to write clearer, more maintainable, and more reliable code.

For nearly thirty years, Java's object-oriented paradigm has been the standard. But today, systems built on mutable state, hidden dependencies, and scattered responsibilities are becoming nightmares to maintain. Concurrency is harder. Testing is more fragile. Change is terrifying.

This book offers a practical alternative just proven techniques for managing complexity.

You'll learn how to:

• Eliminate entire categories of bugs through immutability and pure functions
• Design systems you can reason about without holding the entire codebase in your head
• Build complex behaviors through composition instead of deep inheritance hierarchies
• Make concurrency tractable with functional data models and immutable state
• Write tests that actually test business logic, not mock frameworks
• Adopt functional patterns incrementally in your existing codebase, without rewrites

This is not a theoretical book about lambda calculus or mathematical purity. It's a practical guide grounded in real-world challenges: race conditions, temporal coupling, mutation aliasing, and the cognitive overload of managing mutable shared state.

The book covers:

• Why functional programming matters—and why it took three decades to become mainstream
• Core concepts with working code examples—lambdas, streams, records, sealed types, immutable data modeling
• Composition patterns that scale better than inheritance
• Functional optics (lenses and prisms)—practical tools for updating immutable nested structures
• Real-world case studies—modeling an order management system functionally, building payment processors, implementing state machines
• Pragmatic adoption strategies—you don't need to be purely functional; find the level that works for your project
• The evolution of Java—from Java 8 through Java 25, with future projects like Valhalla, Loom, and Panama

Whether you're building enterprise systems, microservices, or data pipelines, this book shows you how functional programming makes your code more predictable, testable, and maintainable—without requiring you to abandon Java or master abstract mathematics.