Python for DevOps : learn ruthlessly effective automation

Gift, Noah (author.). Behrman, Kennedy, (author.). Deza, Alfredo, (author.). Gheorghiu, Grig, (author.).

Summary: 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

Record details

ISBN: 9781492057697
ISBN: 149205769X
ISBN: 1492057681
ISBN: 9781492057680
ISBN: 1492057649
ISBN: 9781492057642
ISBN: 1492057665
ISBN: 9781492057666
Physical Description: 1 online resource (xx, 484 pages)
remote
Edition: First edition.
Publisher: Sebastopol, CA : O'Reilly Media, [2019]
Copyright: ©2020

Content descriptions

General Note:	Includes index.
Formatted Contents Note:	Unix TimestampMixing Python with Bash and ZSH; Random Password Generator; Does My Module Exist?; Changing Directories to a Module's Path; Converting a CSV File to JSON; Python One-Liners; Debuggers; How Fast Is this Snippet?; strace; Exercises; Case Study Question; Chapter 5. Package Management; Why Is Packaging Important?; When Packaging Might Not Be Needed; Packaging Guidelines; Descriptive Versioning; The changelog; Choosing a Strategy; Packaging Solutions; Native Python Packaging; Debian Packaging; RPM Packaging; Management with systemd; Long-Running Processes; Setting It Up
Source of Description Note:	Online resource; title from digital title page (viewed on January 22, 2020).