Description
| Product ID: | 9781484279953 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | DevOps in Python |
| Subtitle: | Infrastructure as Python |
| Authors: | Author: Moshe Zadka |
| Page Count: | 234 |
| Subjects: | Business mathematics and systems, Business mathematics & systems, Business applications, Compilers and interpreters, Programming and scripting languages: general, Software Engineering, Business applications, Compilers, Programming & scripting languages: general, Software Engineering |
| Description: | Select Guide Rating Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding. You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You’ll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions. The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You'll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you'll work with Terraform from Python to allow more flexible templating and customization of environments. What You'll LearnUnderstand operating system automation with PythonPackage Python applicationsUse Python as a DevOps consoleReview Cloud automation with PythonWho This Book Is ForDevOps engineer. Site Reliability Engineer, or similar (including Platform, Production, and Systems), and whose organization uses Python. Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding. You''ll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You''ll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions. The updated information in this book covers best practices for deploying and updating Python applications. This includes Docker, modern Python packaging, and internal Python package repositories. You''ll also see how to use the AWS API, and the Kubernetes API, and how to automate Docker container image building and running. Finally, you''ll work with Terraform from Python to allow more flexible templating and customization of environments. What You''ll Learn
Who This Book Is For DevOps engineer. Site Reliability Engineer, or similar (including Platform, Production, and Systems), and whose organization uses Python. |
| Imprint Name: | APress |
| Publisher Name: | APress |
| Country of Publication: | GB |
| Publishing Date: | 2022-06-30 |
