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Solutions Architect's Handbook - Third Edition

You're reading from Solutions Architect's Handbook - Third Edition

Product type Book

Published in Mar 2024

Publisher Packt

ISBN-13 9781835084236

Pages 578 pages

Edition 3rd Edition

Languages

Concepts

Cloud Computing

Authors (2):

Saurabh Shrivastava

Neelanjali Srivastav

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Table of Contents (20) Chapters

Preface

1. Solutions Architects in Organizations

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

15. Rearchitecting Legacy Systems

16. Solution Architecture Document

17. Learning Soft Skills to Become a Better Solutions Architect

18. Other Books You May Enjoy

19. Index

Modernizing legacy code with generative AI

Modernizing legacy code with GenAI represents a cutting-edge approach to software development. GenAI tools can analyze and understand legacy code, often written in outdated programming languages, and assist in rewriting or translating it into modern, more efficient languages or frameworks. This process accelerates code modernization and helps maintain the functionality of legacy systems while leveraging the advantages of current technologies.

By automating part of the code conversion process, genAI reduces the manual effort and expertise required, making the modernization process more accessible and less error-prone. This approach mainly benefits businesses looking to update their legacy systems without disrupting operational efficiency. Modernizing legacy code with GenAI involves tools like Codex, part of OpenAI’s offerings (which powers GitHub Copilot), and, potentially, foundation models. These tools leverage AI to understand...

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Authors (2)

Saurabh Shrivastava

Saurabh Shrivastava is a technology leader, author, inventor, and public speaker with over 18 years of experience in the IT industry. He currently works at Amazon Web Services (AWS) as a Global Solutions Architect Leader and enables global consulting partners and enterprise customers on their journey to the cloud. Saurabh led the AWS global technical partnerships, set his team's vision and execution model, and nurtured multiple new strategic initiatives. Saurabh has authored various blogs and whitepapers across a diverse range of technologies, such as big data, IoT, machine learning, and cloud computing. He is passionate about the latest innovations and their impact on our society and daily life. He holds a patent in the area of cloud platform automation. Before AWS, Saurabh worked as an enterprise solution architect, software architect, and software engineering manager in Fortune 50 enterprises, start-ups, and global product and consulting organizations.

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Neelanjali Srivastav

Neelanjali Srivastav is a technology leader, product manager, agile coach, and cloud practitioner with over 16 years of experience in the software industry. She currently works at Amazon Web Services (AWS) as a Senior Product Manager and enables global customers on their data journey to the cloud. Neelanjali evangelizes and enables AWS customer and partners in AWS database, analytics, and machine learning services. She sets the product vision and cultivates new products in incubation. Before AWS, Neelanjali led teams of software engineers, solutions architects, and systems analysts to modernize IT systems and develop innovative software solutions for large enterprises. Neelanjali has held multiple roles in the IT services industry and R&D, focusing on enterprise application management, cloud service management, and orchestration.

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