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

Third edition out now with coverage on Generative AI, clean architecture, edge computing, and moreKey FeaturesTurn business needs into end-to-end technical architectures with this practical guideAssess and overcome various challenges while updating or modernizing legacy applicationsFuture-proof your architecture with IoT, machine learning, and quantum computingBook DescriptionBecoming 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 learnExplore the various roles of a solutions architect in the enterprise landscapeImplement key design principles and patterns to build high-performance cost-effective solutionsChoose the best strategies to secure your architectures and increase their availabilityModernize legacy applications with the help of cloud integrationUnderstand how big data processing, machine learning, and IoT fit into modern architectureIntegrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline productionWho this book is forThis 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.Table of ContentsThe Meaning of Solution ArchitectureSolution Architects in an OrganizationAttributes of the Solution ArchitecturePrinciples of Solution Architecture DesignCloud Migration and Hybrid Cloud Architecture DesignSolution Architecture Design PatternsPerformance ConsiderationsSecurity ConsiderationsArchitectural Reliability ConsiderationsOperational Excellence ConsiderationsCost ConsiderationsDevOps and Solution Architecture FrameworkData Engineering for Solution ArchitectureMachine Learning ArchitectureThe Internet of Things Architecture Quantum ComputingRearchitecting Legacy SystemsSolution Architecture DocumentLearning Soft Skills to Become a Better Solution Architect Read more