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

Designing data-persistence technologies

In the ever-evolving landscape of technology, the manner in which data is stored, retrieved, and manipulated plays a pivotal role in determining the efficiency and reliability of systems. At the heart of this is the art and science of database design, which serves as the foundation for many applications, from simple websites to sophisticated machine learning models. Mastering the principles of database design, including understanding, organizing, maintaining, and securing data, is indispensable for anyone aiming to leverage the full potential of modern systems. Moreover, as database technologies evolve and diversify, the choices between RDBMS, NoSQL, and NewSQL become increasingly nuanced, warranting a deeper exploration of their respective strengths and use cases. In this section, we aim to shed light on these crucial facets, guiding you through the labyrinth of database intricacies.

Database design principles

Database design is an integral...