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

Self-healing systems

Self-healing systems refer to autonomous systems capable of detecting, diagnosing, and resolving issues or failures automatically without human intervention. These systems leverage advanced technologies, such as machine learning (ML), artificial intelligence (AI), and automation, to continuously monitor their own health and make intelligent decisions to recover from faults or anomalies.

The core principles of self-healing systems can be summarized as follows:

  • Monitoring: Self-healing systems rely on comprehensive monitoring mechanisms to continuously collect data about the system’s health, performance, and state. This monitoring can encompass various aspects, including hardware metrics, software metrics, network traffic, and application-specific metrics.
  • Detection: By analyzing the collected data, self-healing systems can detect deviations from normal or expected behavior. This detection process involves comparing current system states with...