Solutions Architect's Handbook: Kick-start your career as a solutions architect by learning architecture design principles and strategies

Description

Third edition out now with coverage on Generative AI, clean architecture, edge computing, and more Key Features: Turn business needs into end-to-end technical architectures with this practical guide Assess and overcome various challenges while updating or modernizing legacy applications Future-proof your architecture with IoT, machine learning, and quantum computing Book Description: Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements. What You Will Learn: Explore the various roles of a solutions architect in the enterprise landscape Implement key design principles and patterns to build high-performance cost-effective solutions Choose the best strategies to secure your architectures and increase their availability Modernize legacy applications with the help of cloud integration Understand how big data processing, machine learning, and IoT fit into modern architecture Integrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline production Who this book is for: This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Existing solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and general programming experience in any language. Review: Good book on the first 1/2 and way too generic on the second 1/2 (for an AWS reader) - Good book specially on the foundations of Software Architecture chapters. But too high level on the later chapters specially on data, AI, security and DevOps. Another issue is that its (almost) completely focused on AWS and that compromises the overall handbook concept. Review: Mmmbof... texte généré par IA! - Texte vraisemblablement généré par AI! Mais correct pour avoir un idée globale du sujet. Exemple: pg 13 donne une liste de NFR. Pg 14 dit «however, there can be more NFR[...] : [same list!]» Quel auteur humain aurait pu donner deux fois la même liste sur deux pages consécutives en les séparant par « il y a néanmoins d'autres exemples» ? Il y a bien sûr d'autres cas similaires tout au long du livre... Pour moi il n'y a aucun doute, c'est du texte généré!