Solutions Architect’s Handbook – Third Edition: Kick-start your career with architecture design principles, strategies, and generative AI techniques Front Cover

Solutions Architect’s Handbook – Third Edition: Kick-start your career with architecture design principles, strategies, and generative AI techniques

  • Length: 578 pages
  • Edition: 2
  • Publisher:
  • Publication Date: 2024-03-29
  • ISBN-10: 1835084230
  • ISBN-13: 9781835084236
  • Sales Rank: #0 (See Top 100 Books)

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.

Key Features

  • 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 learn

  • Explore various roles of a solutions architect in the enterprise
  • Apply design principles for high-performance, cost-effective solutions
  • Choose the best strategies to secure your architectures and boost availability
  • Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production
  • Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance
  • Modernize legacy systems into cloud-native architectures with proven real-world strategies
  • Master key solutions architect soft skills

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. Solutions aArchitects 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 Contents

  1. Solutions Architecture in an Organization
  2. Principles of Solution Architecture Design
  3. Cloud Migration and Cloud Architecture Design
  4. Solution Architecture Design Patterns
  5. Cloud-Native Architecture Design Patterns
  6. Performance Considerations
  7. Security Considerations
  8. Architectural Reliability Considerations
  9. Operational Excellence Considerations
  10. Cost Considerations
  11. DevOps and Solution Architecture Framework
  12. Data Engineering for Solution Architecture
  13. Machine Learning Architecture
  14. Generative AI Architecture

(N.B. Please use the Look Inside option to see further chapters)

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