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

The landscape of 2023 – data and DevOps united

The current DevOps and SRE landscape is a fast-evolving terrain, significantly influenced by data engineering, databases, analytical systems, and AI and ML technologies. These components are not just standalone entities but integrated pieces transforming the DevOps and SRE field into an even more complex, yet streamlined and efficient, practice.

Integration of DevOps with data engineering

In today’s digital era, data is the lifeblood of businesses, making databases integral to many applications. Accordingly, databases are being integrated into the DevOps life cycle, promoting efficient and seamless workflows.

DevOps, a set of practices that combines software development and IT operations, aims to shorten the system development life cycle and provide continuous delivery with high software quality. When applied to databases, DevOps promotes faster development and deployment of database changes, improves the database...