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

Future trends and challenges

In the dynamic world of technology, grasping the future trends and challenges in data persistence is crucial. As data’s volume and importance surge, our storage methods and technologies must progress accordingly. From blockchain’s decentralized capabilities to the expansive reach of object storage, numerous innovations are reshaping data storage paradigms. Additionally, the integration of immutable and idempotent logic with cloud-native architectures brings forth both fresh opportunities and intricate challenges. Large-scale data persistence systems confront a host of complexities, necessitating a balance among elements such as consistency, scalability, and security. This section explores these developments and hurdles, shedding light on the impending direction of data persistence.

Emerging technologies and advancements in data persistence

Data persistence technologies are continuously evolving, and several emerging trends and advancements...