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

Part 1 – the future of data-persisting technologies

The digital era has pivoted on the axis of data, continuously redefining how we capture, process, and interpret vast information streams. Anchored in this metamorphic landscape are data-persisting technologies, which have been the linchpin in ensuring data’s durability, retrievability, and relevance. As we stand on the cusp of new technological frontiers, it’s essential to grasp the evolutionary trajectory of these data-persisting methodologies. From relational stalwarts adapting to the demands of the modern data milieu to the agile ethos of NoSQL systems and the blistering pace of in-memory databases, the narrative of data storage and retrieval is poised for transformative shifts. This deep dive unveils the prospective developments and anticipated advancements in the realm of data persisting technologies, outlining a future where data isn’t just stored, but seamlessly integrated into our tech-driven narratives...