Preface

Machine Learning (ML) has revolutionized the technology industry and our daily lives in ways that were previously thought impossible. By combining ML algorithms with Microservices Architecture (MSA), organizations are able to create intelligent, robust, flexible, and scalable enterprise systems that can adapt to changing business requirements and improve overall system performance.

This book is a comprehensive guide that covers different approaches to building intelligent MSA systems and solving common practical challenges faced in system design and operations.

The first part of the book provides a comprehensive introduction to MSA and its applications. You will learn about common enterprise system architectures, the concepts and value of MSA, and how it differs from traditional enterprise systems. In this part, you will gain an understanding of the design, deployment, and operation of MSA, including the basics of DevOps processes.

The second part of the book dives into ML and its applications in MSA systems. You will learn about the key ML algorithms and their applications in MSA, including regression models, multiclass classification, text analysis, and Deep Learning (DL). This part provides a comprehensive guide on how to develop the ML model, components, and sub-components, and how to apply them in an MSA system.

The final part of the book brings together everything covered in the previous parts. It provides a step-by-step guide to designing and developing an intelligent system, with hands-on examples and actual code that can be imported for real-life use cases. You will also learn about the application of DevOps in enterprise MSA systems, including organizational structure alignment, quality assurance testing, and change management.

By the end of this book, you will have a solid understanding of MSA and its benefits and will be equipped with the skills and knowledge necessary to build your own intelligent MSA system and take the first step toward achieving better business results, operational performance, and business continuity. Whether you are a beginner or an experienced developer, this book is the perfect guide to help you understand and apply MSA and ML in your enterprise systems.