DevOps for Databases: A practical guide to applying DevOps best practices to data-persistent technologies

Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practices

Key Features:

• Implement core operational capabilities via automated pipelines, including testing and rollbacks
• Create infrastructure, deploy software, test execution, and monitor operations using the as-code strategy
• Automate common implementation patterns for databases with declarative orchestration frameworks
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

In today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; site reliability engineers (SREs) and DevOps engineers are database experts as well. This blurring of the lines has led to increased responsibilities, making members of high-performing DevOps teams responsible for end-to-end ownership. This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps.

You'll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. As you advance, the chapters will teach you about design, implementation, testing, and operations using practical examples, as well as common design patterns, combining them with tooling, technology, and strategies for different types of data-persistent technologies. You'll also learn how to create complex end-to-end implementation, deployment, and cloud infrastructure strategies defined as code.

By the end of this book, you'll be equipped with the knowledge and tools to design, build, and operate complex systems efficiently.

What You Will Learn:

• Apply DevOps best practices to data-persistent technologies
• Get to grips with architectural-level design and implementation
• Explore the modern data journey and data modeling with database technology
• Master the operation of large-scale systems with zero-touch automation
• Achieve speed, resilience, security, and operability at different scales
• Design DevOps teams with end-to-end ownership models

Who this book is for:

This book is for newcomers as well as seasoned SREs, DevOps engineers, and system engineers who are interested in large-scale systems with a heavy focus on data-persistent technologies. Database administrators looking to level up in the world of DevOps will also find this book helpful. Experience with cloud Infrastructure, basic development, and operations will help you get the most out of this book.

以適當的 DevOps 最佳實踐來有效地實施、自動化、建置、操作和優化資料庫和其他持久性數據技術。

主要特點：
- 通過自動化流程實施核心運營能力，包括測試和回滾
- 使用 as-code 策略創建基礎架構、部署軟件、執行測試和監控操作
- 使用聲明性編排框架自動化常見的資料庫實施模式
- 購買印刷版或 Kindle 版本的書籍將包含免費的 PDF 電子書

書籍描述：
在當今快速發展的 DevOps 世界中，傳統的隔離已經成為過去。資料庫管理員不再是唯一的專家；網站可靠性工程師（SRE）和 DevOps 工程師也是資料庫專家。這種界線的模糊導致了更多的責任，使高效 DevOps 團隊的成員負責從頭到尾的所有權。本書幫助您掌握資料庫的 DevOps，成為在不斷變化的 DevOps 世界中取得成功的必備資源。

您將首先探索 DevOps 實施的實際案例及其在現代持久性數據技術中的重要性，然後深入研究各種類型的資料庫技術，並認識它們的優勢、弱點和共同點。隨著進一步的學習，本書將通過實際示例教授您設計、實施、測試和操作的技巧，以及常見的設計模式，並結合不同類型的持久性數據技術的工具、技術和策略。您還將學習如何創建複雜的從頭到尾的實施、部署和雲基礎架構策略。

通過閱讀本書，您將獲得設計、建置和操作複雜系統的知識和工具。

學到的內容：
- 將 DevOps 最佳實踐應用於持久性數據技術
- 掌握架構層次的設計和實施
- 探索現代數據旅程和資料建模與資料庫技術
- 通過零觸碰自動化掌握大規模系統的操作
- 在不同規模上實現速度、彈性、安全性和可操作性
- 設計具有從頭到尾所有權模型的 DevOps 團隊

本書適合新手以及經驗豐富的 SRE、DevOps 工程師和系統工程師，他們對以資料持久性技術為重點的大規模系統感興趣。希望在 DevOps 領域提升的資料庫管理員也會發現本書有所幫助。具備雲基礎架構、基本開發和運營經驗將有助於您充分利用本書的內容。