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LEADER 00000cam a22003737a 4500
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008 231213s2023 enk o 000 0 eng d
020 9781837637898|q(electronic bk.)
020 183763789X|q(electronic bk.)
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040 YDX|beng|cYDX|dORMDA|dOCLCO
049 INap
082 04 005.1068
082 04 005.1068|223/eng/20240109
099 eBook O'Reilly for Public Libraries
100 1 Jambor, David,|eauthor.
245 10 DEVOPS FOR DATABASES|h[electronic resource] :|ba practical
guide on applying devops best practices to data-persistent
technologies /|cDavid Jambor.|h[O'Reilly electronic
resource]
250 1st edition.
260 Birmingham, UK :|bPackt Publishing Ltd.,|c2023.
300 1 online resource
520 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.
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Computer software|xDevelopment|xManagement.
650 0 Database management.
650 0 Software engineering|xManagement.
650 6 Bases de données|xGestion.
776 08 |iPrint version:|z183763730X|z9781837637300
|w(OCoLC)1396252229
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9781837637300/?ar
|zAvailable on O'Reilly for Public Libraries
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