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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

The landscape of 2023 – data and DevOps united

The current DevOps and SRE landscape is a fast-evolving terrain, significantly influenced by data engineering, databases, analytical systems, and AI and ML technologies. These components are not just standalone entities but integrated pieces transforming the DevOps and SRE field into an even more complex, yet streamlined and efficient, practice.

Integration of DevOps with data engineering

In today’s digital era, data is the lifeblood of businesses, making databases integral to many applications. Accordingly, databases are being integrated into the DevOps life cycle, promoting efficient and seamless workflows.

DevOps, a set of practices that combines software development and IT operations, aims to shorten the system development life cycle and provide continuous delivery with high software quality. When applied to databases, DevOps promotes faster development and deployment of database changes, improves the database...

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