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 Exciting New World of Data

In this modern era, data sits at the heart of our digital advancements, offering countless opportunities for growth and innovation. As we approach the conclusion of our journey, this chapter will summarize the key takeaways and anticipate what lies ahead. From the foundational aspects of data management to the broader implications for technology design and ethics, we’re about to recap and look forward. Let’s dive in and explore what the future holds for the world of data.

This final chapter will cover the following topics (in parts):

  • Part 1 – the future of data-persisting technologies
  • Part 2 – anticipated changes in AI/ML DevOps
  • Part 3 – evolving trends in SRE
  • Part 4 – career outlook and emerging skill sets in SRE
  • Part 5 – the future of designing, building, and operating cutting-edge systems

Disclaimer: The predictions and suggestions presented in this chapter are entirely...