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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

Steep learning curves – 2017

As an SRE manager in 2017 leading a team specialized in data-persisting technologies, the day-to-day activities consisted of innovation, problem-solving, and in-depth analysis of cutting-edge technologies. The company’s forward-looking approach offered a dynamic environment where constant learning and adaptation were the norm.

You start your day brainstorming with your team about new technologies and potential solutions. As this is uncharted territory, for the first time in your career, Google and the existing documentation do not offer ready-made solutions for your problems. The challenge is invigorating; you and your team need to figure out the solutions yourselves, constantly learning, experimenting, and improving.

A significant portion of your day is dedicated to resourcing and running PoCs to determine the best possible solutions. It’s a continuous process of proposing hypotheses, running tests, analyzing results, and refining...

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