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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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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

Summary

Hey, are you tired of all the buzzwords I’ve just used in this chapter? Shall we recap what we were saying in this chapter, and more or less in this book? Let’s take a quick tour!

Part 1 dived into the world of data – you know, all the things that keep our information secure and accessible? Right now, we’re talking about things such as NoSQL and in-memory databases. But looking forward, imagine automated data management and even quantum databases! It sounds complex, but with the right skills and an eagerness to learn, we can keep up with these changes.

Part 2 dived into AI/ML DevOps. This is where AI meets development and operations. Pretty cool, huh? Imagine automated pipelines and continuous integration, all working seamlessly. The future here is even more automation and collaboration, but also being mindful of ethics and explainability. It’s all about aligning tech with our core values.

In Part 3, we learned all about SRE. Ever...

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