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Solutions Architect's Handbook

You're reading from   Solutions Architect's Handbook Kick-start your career with architecture design principles, strategies, and generative AI techniques

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835084236
Length 578 pages
Edition 3rd Edition
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Authors (2):
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Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
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Toc

Table of Contents (20) Chapters Close

Preface 1. Solutions Architects in Organizations 2. Principles of Solution Architecture Design FREE CHAPTER 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

DevOps and Solution Architecture Framework

In the previous chapter, you explored creating a cost-aware architecture and methods to continually optimize costs without compromising performance. Automation and collaboration across teams are crucial for developing robust applications and saving costs. This chapter will delve into DevOps, a methodology that fosters collaboration between development and operations teams while automating the processes of application deployment and monitoring.

In traditional environments, the development team and the IT operations team work in silos. The development team gathers requirements from business owners and develops the applications. System administrators are solely responsible for operations and for meeting uptime requirements. These teams generally have little direct communication during the development life cycle, and each team rarely understands the processes and needs of the other team.

Each team has its own tools, processes, and redundant...

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