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DevOps for Databases

You're reading from   DevOps for Databases A practical guide to applying DevOps best practices to data-persistent technologies

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837637300
Length 446 pages
Edition 1st Edition
Concepts
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Author (1):
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David Jambor David Jambor
Author Profile Icon David Jambor
David Jambor
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Toc

Table of Contents (24) Chapters Close

Preface 1. Part 1: Database DevOps
2. Chapter 1: Data at Scale with DevOps FREE CHAPTER 3. Chapter 2: Large-Scale Data-Persistent Systems 4. Chapter 3: DBAs in the World of DevOps 5. Part 2: Persisting Data in the Cloud
6. Chapter 4: Cloud Migration and Modern Data(base) Evolution 7. Chapter 5: RDBMS with DevOps 8. Chapter 6: Non-Relational DMSs with DevOps 9. Chapter 7: AI, ML, and Big Data 10. Part 3: The Right Tool for the Job
11. Chapter 8: Zero-Touch Operations 12. Chapter 9: Design and Implementation 13. Chapter 10: Database Automation 14. Part 4: Build and Operate
15. Chapter 11: End-to-End Ownership Model – a Theoretical Case Study 16. Chapter 12: Immutable and Idempotent Logic – A Theoretical Case Study 17. Chapter 13: Operators and Self-Healing Data Persistent Systems 18. Chapter 14: Bringing Them Together 19. Part 5: The Future of Data
20. Chapter 15: Specializing in Data 21. Chapter 16: The Exciting New World of Data 22. Index 23. Other Books You May Enjoy

Bringing Them Together

In this chapter, we’ll embark on Alex’s transformative journey in the realm of artificial intelligence (AI). From the initial steps of implementation, we’ll dive deep into the nuances of observability and operations, key components that shaped his AI experience. Along the way, you’ll gain insights into both the triumphs and challenges encountered, offering invaluable lessons for anyone venturing into this domain. As we reflect on the past, we’ll also look ahead to what the future might hold in this ever-evolving field. Whether you’re an AI enthusiast or a seasoned professional, this chapter promises insights that can enrich your understanding. Dive in to discover Alex’s story, and perhaps to shape your narrative in the world of AI.

The following topics will be covered in this chapter:

  • Alex’s AI journey
  • Implementation
  • Observability and operations
  • Lessons learned and future directions...
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