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

Why are data migration strategies important during a database cloud migration project?

Data migration strategies are essential during a database cloud migration project for the following reasons:

  • Minimizing downtime: Data migration strategies can help minimize downtime during the migration process. The phased migration and parallel migration strategies, for example, allow for a more controlled migration process and minimize the risk of downtime.
  • Ensuring data integrity: Data migration strategies can help ensure that the data is migrated accurately and with minimal data loss or corruption. The ETL strategy, for example, allows for the data to be transformed and validated before being loaded into the new database, ensuring data integrity.
  • Reducing risk: Data migration strategies can help reduce the risk of data loss or corruption during the migration process. The parallel migration and hybrid migration strategies, for example, allow for a fallback option if any issues...