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DevOps for Databases: A practical guide to applying DevOps best practices to dat

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN-13
9781837637300
Book Title
DevOps for Databases
ISBN
9781837637300
Publication Year
2023
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
DevOps for Databases : A Practical Guide to Applying DevOps Best Practices to Data-Persistent Technologies
Item Height
0.9in
Author
David Jambor
Item Length
9.2in
Publisher
Packt Publishing, The Limited
Item Width
7.5in
Item Weight
26.9 Oz
Number of Pages
446 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
183763730x
ISBN-13
9781837637300
eBay Product ID (ePID)
12065833093

Product Key Features

Author
David Jambor
Publication Name
DevOps for Databases : A Practical Guide to Applying DevOps Best Practices to Data-Persistent Technologies
Format
Trade Paperback
Language
English
Publication Year
2023
Type
Textbook
Number of Pages
446 Pages

Dimensions

Item Length
9.2in
Item Height
0.9in
Item Width
7.5in
Item Weight
26.9 Oz

Additional Product Features

Target Audience
Trade
Topic
Cloud Computing, Networking / General, System Administration / Disaster & Recovery
Genre
Computers

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