Saurabh Shrivastava - Böcker

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.

This is an outdated edition, and we have a new third edition live covering real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices.Key FeaturesComprehensive guide to automating, networking, migrating, and adopting cloud technologies using AWSExtensive insights into AWS technologies, including AI/ML, IoT, big data, blockchain, and quantum computing to transform your business.Detailed coverage of AWS solutions architecture and the latest AWS certification requirementsBook DescriptionThe second edition of AWS for Solutions Architects provides a practical guide to designing cloud solutions that align with industry best practices. This updated edition covers the AWS Well-Architected Framework, core design principles, and cloud-native patterns to help you build secure, high-performance, and cost-effective architectures.Gain a deep understanding of AWS networking, hybrid cloud connectivity, and edge deployments. Explore big data processing with EMR, Glue, Kinesis, and MSK, enabling you to extract valuable insights from data efficiently. New chapters introduce CloudOps, machine learning, IoT, and blockchain, equipping you with the knowledge to develop modern cloud solutions.Learn how to optimize AWS storage, implement containerization strategies, and design scalable data lakes. Whether working on simple configurations or complex enterprise architectures, this guide provides the expertise needed to solve real-world cloud challenges and build reliable, high-performing AWS solutions.What you will learnOptimize your Cloud Workload using the AWS Well-Architected FrameworkLearn methods to migrate your workload using the AWS Cloud Adoption FrameworkApply cloud automation at various layers of application workload to increase efficiencyBuild a landing zone in AWS and hybrid cloud setups with deep networking techniquesSelect reference architectures for business scenarios, like data lakes, containers, and serverless appsApply emerging technologies in your architecture, including AI/ML, IoT and blockchainWho this book is forThis book is for application and enterprise architects, developers, and operations engineers who want to become well versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, highly tolerant, and cost-effective solutions in the cloud. Existing AWS users are bound to learn the most, but it will also help those curious about how leveraging AWS can benefit their organization. Prior knowledge of any computing language is not needed, and there’s little to no code. Prior experience in software architecture design will prove helpful.

Embark on your Solutions Architect career with confidence through expert guidance to ace interviews and secure your dream jobKey FeaturesGain a complete understanding of the full scope of the Solutions Architect role across domains and industriesMaster the interview process, from technical assessments to behavioral evaluationsLearn proven strategies to showcase technical depth and leadership impactBook DescriptionThe Solutions Architect role sits at the intersection of technology, business strategy, and communication. Excelling in it takes more than technical expertise—it demands architectural thinking, leadership, and problem-solving skills. This book guides you in achieving this balance, walking you through every stage of becoming a Solutions Architect.It begins by unpacking what the role truly involves and then progresses into the nuances of interview preparation across multiple domains. You’ll learn how to structure your responses to scenario-based questions, highlight both your technical proficiency and soft skills, and position yourself as a strategic problem solver. Each chapter offers practical exercises, frameworks, and real interview examples that help you build the confidence and insight to stand out. The final chapter guides you through your first 90 days as a new Solutions Architect, aligning with business goals, understanding organizational architecture, and building credibility.By the end of this book, you’ll have the technical, behavioral, and strategic foundation to ace your interviews and thrive in any Solutions Architect role.What you will learnDevelop a structured approach to tackling technical interviews and system design scenariosMaster behavioral and communication techniques for leadership interviewsPrepare for domain-specific interviews in DevOps, Cloud, Security, AI/ML, and moreUnderstand industry-specific architecture challenges in sectors such as healthcare and financeSmoothly transition into a new SA role while aligning with business and technical objectivesWho this book is forThis book is a concise, practical guide for anyone who wants to excel in Solutions Architecture, whether you’re a recent graduate entering the field, a developer or IT professional transitioning from engineering or operations, an on-prem specialist moving to the cloud, a domain expert without app development experience, or a practicing architect sharpening skills across application, DevOps, security, data, AI/ML, and industry domains. You should have working knowledge of system design fundamentals, networking, databases, at least one cloud platform (AWS, GCP, or Azure), and a scripting language.

Master Generative AI in software development with hands-on guidance, from coding and debugging to testing and deployment, using GitHub Copilot, Amazon Q Developer, and OpenAI APIs to build scalable, AI-powered applicationsKey FeaturesHands-on guidance for mastering AI-powered coding, debugging, and deployment with real-world examplesComprehensive coverage of GenAI concepts, prompt engineering, fine-tuning, and SDLC integrationPractical strategies for architecting and scaling production-ready AI-driven applicationsBook DescriptionGenerative AI for Software Developers is your practical guide to mastering AI-powered development and staying ahead in a fast-changing industry. Through a structured, hands-on approach, this book helps you understand, implement, and optimize Generative AI in modern software engineering. From AI-assisted coding, debugging, and documentation to testing, deployment, and system design, it equips you with the skills to integrate AI seamlessly into your workflows.You’ll work with tools such as GitHub Copilot, Amazon Q Developer, and OpenAI APIs while learning strategies for prompt engineering, fine-tuning, and building scalable AI-powered applications. Featuring real-world use cases, best practices, and expert insights, this book bridges the gap between experimenting with AI and production deployment.Whether you’re an aspiring AI developer, experienced engineer, or solutions architect, this guide gives you the clarity, confidence, and tactical knowledge to thrive in the GenAI-driven future of software development. Armed with these insights, you’ll be ready to build, integrate, and scale intelligent solutions that enhance every stage of the software development lifecycle.What you will learnBuild a secure GenAI application with expert guidanceUnderstand the fundamentals of GenAI and its applications in software engineeringAutomate coding tasks with tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIsApply AI for debugging, testing, documentation, and deployment workflowsGet to grips with prompt engineering and fine-tuning techniques to optimize AI outputsImplement best practices for architecting and scaling AI-powered applicationsBuild end-to-end GenAI projects, moving from experimentation to productionWho this book is forThis book is for software developers, engineers, architects, and tech professionals who want to understand the core concepts of Generative AI and its real-world applications, master AI-driven development workflows to improve efficiency and code quality, and leverage tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs to automate coding tasks.

From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture.Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesHits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWSOffers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, GoogleA valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWSBook DescriptionBuild a strong foundation in solution architecture and excel in your career with the Solutions Architect’s Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. From large language models and generative AI to deep learning innovations, these cutting-edge advancements are shaping the future of technology. Key topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient, secure architectures remain essential today. This book covers both emerging and foundational technologies, guiding you through solution architecture design with key principles and providing the knowledge you need to succeed as a Solutions Architect. It also sharpens your soft skills, providing career-accelerating techniques to stay ahead.By the end of this book, you will be able to harness cutting-edge technologies, apply practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learnExplore various roles of a solutions architect in the enterpriseApply design principles for high-performance, cost-effective solutionsChoose the best strategies to secure your architectures and boost availabilityDevelop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined productionApply machine learning, data engineering, LLMs, and generative AI for improved security and performanceModernize legacy systems into cloud-native architectures with proven real-world strategiesMaster key solutions architect soft skillsWho 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. 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 some awareness of cloud technology.

Master AWS architecture and design secure, scalable, production-ready cloud systems. This practical guide features real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices.Key FeaturesStay current with hands-on coverage of MLOps, AIOps, and the latest AWS service updatesImplement migration strategies with real-world examples and enterprise case studiesAdvance your AWS career with certification-aligned insights and exam-ready strategiesBook DescriptionAWS for Solutions Architects, Third Edition is your essential guide to thriving in the fast-evolving AWS ecosystem. As a solutions architect, staying on top of the latest technologies and managing complex cloud migrations can be challenging, and this book addresses those pain points head-on. Seasoned AWS experts Saurabh Shrivastava, Neelanjali Srivastav, and Dhiraj Thakur bring deep industry insight and hands-on experience to every chapter.This third edition introduces cutting-edge topics, including Generative AI and MLOps, to keep pace with the evolving cloud landscape and guide you in building AI-driven applications. The book also reflects updates from the AWS Well-Architected Framework and aligns with the latest AWS certifications, making it a future-ready guide for cloud professionals. The chapters help you stay ahead of the competition with in-depth coverage of the latest AWS certifications, including AI Practitioner Foundation and Data Engineer Associate, helping you position yourself as a leader in cloud innovation.By the end of this book, you'll transform into a solutions architecture expert, equipped with the strategies, tools, and certifications needed to handle any cloud challenge.What you will learnGain expertise in GenAI, MLOps, AIOps, and mobile edge computingOptimize performance and handle errors in cloud-native applicationsPrepare for new AWS certifications, including those focused on AI and data engineeringApply best practices for security, compliance, and AWS Learning BadgesExplore the updated Well-Architected Framework with six pillarsGet in-depth knowledge of new storage options and security group configurationsWho this book is forThis book is for application and enterprise architects, developers, operations engineers, and certification aspirants looking to master AWS architectural patterns, best practices, and advanced techniques for building scalable, secure, highly available, fault-tolerant, and cost-effective cloud solutions. Prior coding knowledge isn’t required, but experience in software architecture design will be helpful.