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

Operators and Self-Healing Data Persistent Systems

This chapter aims to delve into the realm of operators and self-healing data persistent systems, with a particular focus on Kubernetes and containerization technologies. It provides an in-depth exploration of the concept of self-healing, elucidates its benefits and risks, and highlights the factors to consider when implementing self-healing mechanisms in different types of databases. By the end of this chapter, you will have gained a thorough understanding of how self-healing systems can enhance the reliability and resilience of data persistence in modern infrastructure.

Throughout this chapter, we will explore self-healing data persistent systems from various angles, including their definition, core principles, benefits, and risks. We will also discuss the specific factors that come into play when implementing self-healing mechanisms in different types of databases, with a focus on relational, NoSQL, NewSQL, and time-series databases...