Python for DevOps : Learn Ruthlessly Effective Automation
Language: English
Published by O'Reilly Media, Incorporated, 2020
- Softcover
- Used
Seller: Better World Books, Mishawaka, IN, U.S.A.Better World Books
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Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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- Title
- Python for DevOps : Learn Ruthlessly Effective Automation
- Author
- Deza, Alfredo, Gheorghiu, Grig, Gift, Noah, Behrman, Kennedy
- Publisher
- O'Reilly Media, Incorporated
- Publication year
- 2020
- Condition
- Very Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 149205769X
- ISBN 13
- 9781492057697
- Item weight
- 1.887 pounds
- Dimensions
- N/A
Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform.
Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide.
- Python foundations, including a brief introduction to the language
- How to automate text, write command-line tools, and automate the filesystem
- Linux utilities, package management, build systems, monitoring and instrumentation, and automated testing
- Cloud computing, infrastructure as code, Kubernetes, and serverless
- Machine learning operations and data engineering from a DevOps perspective
- Building, deploying, and operationalizing a machine learning project
"Synopsis" may belong to another edition of this title.
About the Author
Noah Gift is a lecturer and consultant at UC Davis Graduate School of Management in the MSBA program. Professionally, Noah has approximately 20 years’ experience programming in Python and is a member of the Python Software Foundation. He has worked for a variety of companies in roles ranging from CTO, general manager, consulting CTO, and cloud architect. Currently, he is consulting start-ups and other companies on machine learning and cloud architecture and is doing CTO-level consulting via Noah Gift Consulting. He has published close to 100 technical publications including two books on subjects ranging from cloud machine learning to DevOps. He is also a certified AWS Solutions Architect. Noah has an MBA from the University of California, Davis; an MS in computer information systems from California State University, Los Angeles; and a BS in nutritional science from Cal Poly, San Luis Obispo. You can find more about Noah by following him on Github (https://github.com/noahgift/), visiting http://noahgift.com, or connecting with him on https://www.linkedin.com/in/noahgift/.
"About the title" may belong to another edition of this title.
Better World Books
Mishawaka, IN, U.S.A.
AbeBooks seller since August 3, 2006
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