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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

Observability and operations

In the bustling hub of FC, evolving challenges continuously push the boundaries of innovation and operational excellence. While strategies such as canary deployments and database scaling have propelled the team into new realms of success, the dawn of another day brings the intricate dance of security and compliance into sharp focus. For Alex, the company’s visionary, safeguarding data while ensuring steadfast adherence to regulatory standards becomes the next critical chapter in FC’s ongoing narrative.

The art of canary deployments

2 months had passed since the last update. In the heart of FC, Alex stood before his team with a new mission at hand. With the core architecture in place and various operational strategies tested, they now faced the challenge of integrating new features into their existing AI strategy. Their approach? Canary deployments.

Think of it as releasing a canary into a coal mine,” Alex explained...

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