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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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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

Collaboration and communication

The heart of DevOps lies in communication and collaboration. These are crucial because, in traditional environments, developers and operations often work in silos, with each group having its own priorities and objectives. This siloed approach often leads to conflicts, inefficiencies, and blame games when issues arise. In contrast, a DevOps environment fosters a culture where multiple teams share responsibilities, collaborate on challenges, and work toward the shared goal of delivering high-quality software rapidly and reliably.

As we just walked through, in a DevOps setting, a DBA’s role is much more dynamic and integrated into the development and deployment processes than in traditional settings. Some of the key responsibilities of DBAs in DevOps are as follows:

  • Integrated pipeline: In DevOps, DBAs are involved in the CI/CD pipeline. They collaborate with developers to ensure that database schemas, configurations, and migrations are...
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