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Key benefits

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

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.

Who is this book 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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Sandor Szabo Jan 07, 2024

I have bought this book as a means to get more information about how DevOps practices can be applied for everyday use in a corporate environment mostly concerning Databases, but also touching best practices, security, team build-out and much more.I was very happy with the content! It's a well built, step-by-step explanation of different steps, procedures, practices backed up with lots of demonstrable content as well. I especially loved the code segments that I could use effortlessly by slightly changing it to fit my needs to try out new settings or demonstrate for my team how the new capabilities work.An overwhelming amount of information - in a good way! - yet still so clearly being guided through the book. It's a must have and I encourage everyone to read it over and over again to discover all the important bits and pieces of how DevOps can (and should) be applied in practice!

Amazon Verified review

David Jambor Dec 30, 2023

Sangita Mahala Jan 11, 2024

I highly recommend this book to anyone interested in the intersection of DevOps and database management. It's an insightful, informative, and essential read for anyone involved in building, managing, or utilizing data-persistent systems.

Gabor Gerencser Feb 05, 2024

DevOps for Databases book presents an invaluable resource for professionals engaged in database management within contemporary DevOps/SRE frameworks. This comprehensive tome adeptly blends practical insights with theoretical underpinnings, offering a well-rounded understanding of the subject matter. Drawing from extensive real-world experience and best practices, it meticulously explores various facets of database management, ranging from fundamental concepts to advanced AI applications, encompassing both relational and non-relational databases. With illustrative examples, the book delves into essential tooling, self-healing mechanisms, and a plethora of other compelling topics. I wholeheartedly recommend this publication to individuals at all career levels, as it serves as a catalyst for enhancing one's proficiency in database management

Joe Karlsson Jan 29, 2024

As someone who's been deeply exploring the intricacies of database version control for work, discovering "DevOps for Databases: A Practical Guide to Applying DevOps Best Practices to Data-Persistent Technologies" was a game-changer.This book is a goldmine for anyone tackling the often-overlooked but crucial aspect of database management in the DevOps realm. In our data-centric era, this book highlights a critical gap: the disparity in attention between software and database deployments. Its focus on bridging this gap is what sets it apart.The author masterfully guides readers through key aspects of database management within the DevOps framework, covering automated pipelines, rollbacks, and advanced concepts like declarative orchestration frameworks. The breadth and depth of the content are both comprehensive and enlightening.What resonates most is the book's practical approach. It's filled with real-world examples and deep insights into architectural design and implementation, making it valuable for seasoned SREs, DevOps engineers, and database administrators alike. This book is particularly adept at demonstrating how to design and operate complex systems efficiently.A standout feature of this book is its actionable advice. It's not just theory; it provides the tools and knowledge necessary for effective implementation.For anyone eager to effectively integrate database administration with DevOps, or seeking tangible strategies to enhance data deployments, I cannot recommend this book enough. It's an essential read for navigating and excelling in the evolving landscape of database management and DevOps.

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

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