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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.
Endorsements
“Hits all the key areas”
– Rajesh Sheth, VP, Elastic Block Store, AWS
“Offers the knowledge you need to succeed in the evolving landscape of tech architecture”
– Luis Lopez Soria, Senior Specialist Solutions Architect, Google
“A valuable resource for enterprise strategists looking to build resilient applications”
– Cher Simon, Principal Solutions Architect, AWS
Book Description
Master the art of solution architecture and excel as a Solutions Architect 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. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today’s landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead.
Unlock the potential of cutting-edge technologies, gain 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 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. 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.
Table of ContentsSolutions Architecture in an OrganizationPrinciples of Solution Architecture DesignCloud Migration and Cloud Architecture DesignSolution Architecture Design PatternsCloud-Native Architecture Design PatternsPerformance ConsiderationsSecurity ConsiderationsArchitectural Reliability ConsiderationsOperational Excellence ConsiderationsCost ConsiderationsDevOps and Solution Architecture Framework
(N.B. Please use the Look Inside option to see further chapters)
From the Publisher
What’s new in this edition of the book?
This new edition brings a brand new chapter on generative AI (GenAI), encompassing key components of generative AI models, generative AI architecture, and potential challenges in implementing generative AI.
In addition, it provides new material on key topics including CloudOps, clean architecture, edge computing, threat modeling, and mainframe modernization, as well as updates and enhancements throughout the book to bring you up to date with the latest tech and industry developments.
This book will help you to
Master cutting-edge cloud-native design patterns to build scalable, cost-efficient architecturePrepare for tomorrow’s demands with insights into machine learning and GenAI architectureDiscover proven strategies and techniques to rearchitect and revitalize legacy systemsGain communication, collaboration, and leadership skills that distinguish top solution architectsAccess an extensive toolkit of best practices and methods to tackle architectural challenges
Key aspects of this book:
Explore the role of solutions architects
Learn about solutions architects and how they fit within an organization.
Delve into key soft skills for solutions architects and the importance of continuous learning.
Understand key architectural design patterns and considerations
Explore architectural design patterns and key considerations for solutions architects, including those related to performance, security, reliability, operational excellence, and cost.
Delve into different types of architecture
Discover the nuances of cloud-native architecture, big data architecture, machine learning architecture, and generative AI architecture, while learning how to architect legacy systems.
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Technology Used
Solution Architecture, AWS AWS, CloudOps, AI/ML, IoT, Quantum computing, blockchain C#, .NET, Azure Linux, Ubuntu, RedHat 9
Reader Knowledge Level
Advanced Advanced Advanced Advanced
Description
All you need to be a Solutions Architect crafting reliable AWS architectures Become a master Solutions Architect across cloud design patterns and cutting edge technologies Master practical enterprise patterns using modern C# and cloud-native technologies Establish bulletproof security foundations for your cloud and enterprise Linux deployments
Publisher : Packt Publishing; 3rd ed. edition (March 29, 2024)
Language : English
Paperback : 578 pages
ISBN-10 : 1835084230
ISBN-13 : 978-1835084236
Item Weight : 2.16 pounds
Dimensions : 1.56 x 7.5 x 9.5 inches
Customers say
Customers find the book’s content valuable for both beginners and experienced professionals. They appreciate the authors’ clear explanations of complex concepts in digestible sections. The book covers cutting-edge topics like cloud-native architecture, machine learning, and generative AI. Readers also praise the engaging writing style and mention that the book is readable.
AI-generated from the text of customer reviews