https://stm2.bookpi.org/SIBRDS <p>In the rapidly evolving landscape of modern computing, distributed systems have become the backbone of our digital world. From the social media platforms that connect billions of users to the financial systems that process trillions of transactions, distributed architectures enable the scale, reliability, and performance that today's applications demand.</p> <p> </p> <p>This book emerged from years of hands-on experience building and operating large-scale distributed systems in production environments. Having witnessed both spectacular successes and costly failures, we recognised the need for a comprehensive guide that bridges the gap between theoretical principles and practical implementation, particularly within modern cloud platforms.</p> <p><strong> </strong></p> <p><strong>Why This Book Matters</strong></p> <p> </p> <p>The complexity of distributed systems continues to grow as organisations adopt microservices architectures, serverless computing, and multi-cloud strategies. While numerous resources exist for individual technologies, few provide a holistic view of how these pieces fit together to create robust, scalable infrastructure. This book aims to fill that gap by offering both foundational principles and concrete implementation guidance using AWS, Azure and GCP platforms.</p> <p><strong> </strong></p> <p><strong>Who Should Read This Book</strong></p> <p><strong> </strong></p> <p><strong>This book is designed for:</strong></p> <p> </p> <ul> <li>Software architects making the transition from monolithic to distributed architectures</li> <li>Senior engineers responsible for scaling existing systems</li> <li>Platform engineers building internal developer platforms</li> <li>Engineering managers guiding technical decisions</li> <li>Students studying distributed systems with a focus on practical application</li> </ul> <p><strong> </strong></p> <p><strong>What You'll Learn</strong></p> <p><strong> </strong></p> <p><strong>Throughout eight comprehensive chapters, you'll explore:</strong></p> <p> </p> <ul> <li>Fundamental distributed systems concepts and trade-offs</li> <li>Cloud-native architectural patterns and their implementation</li> <li>Strategies for achieving scalability without sacrificing reliability</li> <li>Engineering practices for building fault-tolerant systems</li> <li>Security considerations unique to distributed environments</li> <li>Observability approaches for complex, multi-service systems</li> <li>Data management patterns for distributed applications</li> </ul> <p>Performance optimisation techniques across the entire stack</p> en-US Scalable Infrastructure: Building Reliable Distributed Systems https://stm2.bookpi.org/SIBRDS/article/view/42 <p><strong>Background and Motivation: </strong>Modern software applications increasingly rely on distributed architectures to achieve the scale, reliability, and performance required by today's users. However, building effective distributed systems presents unique challenges that traditional software engineering approaches cannot adequately address. The complexity of managing multiple independent components, ensuring data consistency across network boundaries, and maintaining system resilience in the face of partial failures requires specialised knowledge and proven patterns.</p> <p><strong>Scope and Approach: </strong>This book provides a comprehensive examination of distributed systems engineering, focusing on practical implementation within modern cloud platforms. Rather than treating distributed systems as purely theoretical constructs, we explore concrete architectural patterns, implementation strategies, and operational practices that have proven effective in production environments. The content draws extensively from real-world experience with AWS and Azure platforms, offering specific guidance for implementing distributed systems concepts using cloud-native services.</p> <p><strong>Key Contributions</strong></p> <p>The book makes several key contributions to the distributed systems literature:</p> <ol> <li><strong>Bridging Theory and Practice</strong>: We connect fundamental distributed systems principles with practical implementation guidance, showing how concepts like the CAP theorem translate into real architectural decisions.</li> <li><strong>Cloud-Native Focus</strong>: Rather than generic distributed systems advice, we provide specific patterns and practices optimised for AWS and Azure environments, including service selection guidance and configuration recommendations.</li> <li><strong>Holistic System View</strong>: We examine distributed systems from multiple perspectives—architecture, reliability, security, observability, data management, and performance—showing how these concerns interact and influence each other.</li> <li><strong>Proven Patterns</strong>: The architectural patterns and practices presented have been validated through implementation in production systems serving millions of users.</li> </ol> <p><strong>Target Audience and Impact: </strong>This work addresses the needs of software architects, senior engineers, and engineering leaders responsible for designing and implementing scalable infrastructure. By providing both conceptual foundations and practical guidance, the book enables organisations to successfully navigate the transition from monolithic to distributed architectures while avoiding common pitfalls that can lead to system complexity, operational overhead, and reliability issues.</p> Akaash Vishal Hazarika Aniket Abhishek Soni Copyright (c) 2025 Author(s). The licensee is the publisher (BP International). 2025-06-24 2025-06-24 1 99 10.9734/bpi/mono/978-93-49970-00-7