DevOps for Databases : A Practical Guide to Applying DevOps Best Practices to Data-Persistent Technologies / David Jambor.

Format:

Book

Author/Creator:

Jambor, David, author.

Language:

English

Subjects (All):

Computer software--Development--Management.

Computer software.

Database management.

Software engineering--Management.

Software engineering.

Physical Description:

1 online resource (446 pages)

Edition:

First edition.

Place of Publication:

Packt Publishing 2023

Summary:

Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practices Key Features Implement core operational capabilities via automated pipelines, including testing and rollbacks Create infrastructure, deploy software, test execution, and monitor operations using the as-code strategy Automate common implementation patterns for databases with declarative orchestration frameworks Purchase of the print or Kindle book includes a free PDF eBook Book Description 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. What you will learn Apply DevOps best practices to data-persistent technologies Get to grips with architectural-level design and implementation Explore the modern data journey and data modeling with database technology Master the operation of large-scale systems with zero-touch automation Achieve speed, resilience, security, and operability at different scales Design DevOps teams with end-to-end ownership models Who this book is for This book is for newcomers as well as seasoned SREs, DevOps engineers, and system engineers who are interested in large-scale systems with a heavy focus on data-persistent technologies. Database administrators looking to level up in the world of DevOps will also find this book helpful. Experience with cloud Infrastructure, basic development, and operations will help you get the most out of this book.

Contents:

DevOps for Databases Contributors About the reviewer Part 1: Database DevOps Chapter 1: Data at Scale with DevOps Chapter 2: Large-Scale Data-Persistent Systems Chapter 3: DBAs in the World of DevOps Part 2: Persisting Data in the Cloud Chapter 4: Cloud Migration and Modern Data(base) Evolution Chapter 5: RDBMS with DevOps Chapter 6: Non-Relational DMSs with DevOps Chapter 7: AI, ML, and Big Data Part 3: The Right Tool for the Job Chapter 8: Zero-Touch Operations Chapter 9: Design and Implementation Chapter 10: Database Automation Part 4: Build and Operate Chapter 11: End-to-End Ownership Model - a Theoretical Case Study Chapter 12: Immutable and Idempotent Logic - A Theoretical Case Study Chapter 13: Operators and Self-Healing Data Persistent Systems Chapter 14: Bringing Them Together Part 5: The Future of Data Chapter 15: Specializing in Data Chapter 16: The Exciting New World of Data Other Books You May Enjoy

Notes:

Includes index.

Description based on print version record.

ISBN:

9781837637898

183763789X

1-83763-789-X

OCLC:

1413375163