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

Summary

Self-healing mechanisms in databases and Kubernetes play a crucial role in ensuring the availability, resilience, and FT of modern applications. By automating fault detection, recovery, and mitigation, self-healing systems reduce downtime, minimize disruptions, and enhance the overall reliability of the infrastructure.

Throughout this comprehensive exploration, we have delved into the core principles of self-healing systems, the implementation of operators in Kubernetes, self-healing databases, factors influencing self-healing in different database types, and case studies showcasing self-healing in Kubernetes. We have also discussed the challenges and future directions of self-healing systems.

Self-healing systems offer numerous benefits, including HA, improved FT, scalability, simplified management, and seamless integration with Kubernetes. These systems automatically detect failures, recover from them, and adapt to changing workload demands, all without requiring manual...