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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

Immutable logic in data-persisting technologies

Immutability in data storage refers to the unchanging nature of stored data. Once data is set, it remains constant, ensuring data integrity and protection against unintended or unauthorized alterations. Immutable data storage offers various advantages, including consistent data integrity, enhanced thread safety, and precise auditability. Practical approaches to implementing immutability include event sourcing and write-once, append-only storage systems. These methods are supported by technologies such as immutable databases, versioning, timestamping, and immutable data structures. When utilized effectively, these methodologies provide scalable and trustworthy data storage solutions, which is vital for sectors where data accuracy and traceability are paramount.

Understanding immutability in the context of data storage

Immutability is a fundamental concept in data storage that refers to the property of data being unchangeable once...

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