Book Image

DevOps for Databases

By : David Jambor
Book Image

DevOps for Databases

By: David Jambor

Overview of this book

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.
Table of Contents (24 chapters)
1
Part 1: Database DevOps
5
Part 2: Persisting Data in the Cloud
7
Chapter 5: RDBMS with DevOps
10
Part 3: The Right Tool for the Job
14
Part 4: Build and Operate
19
Part 5: The Future of Data

Self-healing databases

As the digital age progresses, the role of databases in powering applications becomes ever more significant. Traditional databases, while central to data management, are not without their share of challenges, particularly when it comes to ensuring reliability and data integrity. Enter the era of self-healing databases: a forward-thinking solution designed to address these inherent vulnerabilities. Through automated mechanisms, these databases aim to detect and rectify failures, ensuring seamless operation even in the face of unforeseen issues. In the following section, we’ll delve deeper into the intricacies of these self-healing mechanisms, their numerous benefits, as well as the potential risks and limitations that organizations should be aware of.

Traditional database challenges

Databases play a critical role in modern applications, managing the storage and retrieval of data. However, traditional databases often face challenges related to availability...