In today's rapidly evolving world of DevOps, traditional silos are a thing of the past. No longer are there strictly database admins; instead, SRE or DevOps engineers are experts at databases. This blurring of the lines has led to increased responsibilities, and in high-performing DevOps teams, it means being responsible for everything end-to-end.

This book is your ultimate guide to mastering DevOps for databases. Beginning with real-world examples of DevOps implementation and its significance in modern data-persisting technologies, the book progresses into different types of database technologies, highlighting their strengths, weaknesses, and commonalities. You'll learn through practical examples about design, implementation, testing, and operations. You will then learn common design patterns combining them with tooling, technology, and strategy for different types of data-persisting technology. Moreover, it will guide you through creating end-to-end complex implementation, deployment, and cloud infrastructure strategies defined as code.

By the end of this book, you will be equipped with the knowledge and tools to design, build, and operate complex systems efficiently. Whether you're a seasoned DevOps professional or a newcomer, this book is a must-have resource for achieving success in the ever-changing world of DevOps.

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Spis treści

DevOps for Databases. A practical guide to applying DevOps best practices to data-persistent technologies eBook -- spis treści

• 1. Implementing DevOps in Real Life
• 2. Large scale Data Persistent Systems
• 3. DBAs in the world of DevOps - The increased responsibility of a DevOps DBA
• 4. Data(base) evolution / Modern cloud-migration
• 5. Relational Databases … through the eyes of a DevOps DBA
• 6. Non-Relational Databases … through the eyes of a DevOps DBA
• 7. Big Data, AI and ML … through the eyes of a DevOps DBA
• 8. What good looks like - Zero touch operations
• 9. Design and Implementation - The role of the DevOps DBA through design to production
• 10. Database Automation
• 11. End to end ownership model
• 12. Immutable and Idempotent logic
• 13. Operators and Self-Healing systems - Advanced DevOps DBA automation
• 14. Bring them together
• 15. (The past) - Specialising in Data - The author's a personal experience and evolution into DevOps and Database DevOps
• 16. (The future) The exciting world of Data - what the future might look like for a DevOps DBA