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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
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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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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

Self-healing databases

As the digital age progresses, the role of databases in powering applications becomes ever more significant. Traditional databases, while central to data management, are not without their share of challenges, particularly when it comes to ensuring reliability and data integrity. Enter the era of self-healing databases: a forward-thinking solution designed to address these inherent vulnerabilities. Through automated mechanisms, these databases aim to detect and rectify failures, ensuring seamless operation even in the face of unforeseen issues. In the following section, we’ll delve deeper into the intricacies of these self-healing mechanisms, their numerous benefits, as well as the potential risks and limitations that organizations should be aware of.

Traditional database challenges

Databases play a critical role in modern applications, managing the storage and retrieval of data. However, traditional databases often face challenges related to availability...

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