DevOps in Python
Apress (Verlag)
978-1-4842-4432-6 (ISBN)
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You'll start by writing command-line scripts and automating simple DevOps-style tasks. You'll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel, and writing Ansible and Salt extensions. This work also covers how to use the AWS API to manage cloud infrastructure, and how to manage Python programs and environments on remote machines.
Python was invented as a systems management language for distributed operating systems, which makes it an ideal tool for DevOps. Assuming a basic understanding of Python concepts, this book is perfect for engineers who want to move from operations/system administration into coding.
What You'll Learn
Use third party packages and create new packages
Create operating system management and automation code in Python
Write testable code, and testing best practices
Work with REST APIs for web clients
Who This Book Is ForJunior or intermediate sysadmin who has picked up some bash and Python basics.
Moshe Zadka has been part of the open source community since 1995 and has been involved with DevOps since before the term became mainstream. One of two collaborators in the Facebook bootcamp Python class, he made his first core Python contributions in 1998, and is a founding member of the Twisted open source project. He has also given tutorials and talks at several recent PyCon conferences and contributed to Expert Twisted (Apress, 2019). ted at “Production Engineers”, which is what Facebook calls DevOps. Moshe has been part of the open source community since 1995, made his first core Python contributions in 1998 and is a founding member of the Twisted open source project. He has given tutorials or talks at several recent PyCon conferences and contributed to Expert Twisted (Apress, 2019) ted at “Production Engineers”, which is what Facebook calls DevOps. Moshe has been part of the open source community since 1995, made his first core Python contributions in 1998 and is a founding member of the Twisted open source project. He has given tutorials or talks at several recent PyCon conferences and contributed to Expert Twisted (Apress, 2019)
DevOps in Python
Chapter 1: Installing Python
Chapter 2: Interactive Usage
Chapter 3: Packaging
Chapter 4: Operating System Automation
Chapter 5: Testing
Chapter 6: Text Manipulation
Chapter 7: Requests
Chapter 8: Cryptography
Chapter 9: Paramiko
Chapter 10: Salt Stack
Chapter 11: Ansible
Chapter 12: Docker
Chapter 13: Amazon Web Services
| Erscheinungsdatum | 18.06.2019 |
|---|---|
| Zusatzinfo | 2 Illustrations, black and white; XVI, 169 p. 2 illus. |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 454 g |
| Themenwelt | Informatik ► Programmiersprachen / -werkzeuge ► Python |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Theorie / Studium ► Compilerbau | |
| Schlagworte | Ansible • Automation • Cloud Computing • DevOps • Docker • Infrastructure as code • Jupyter • Linux • Python • requests • SALT • Site Reliability Engineering • Systems • Systems Administration • Testing • UNIX |
| ISBN-10 | 1-4842-4432-X / 148424432X |
| ISBN-13 | 978-1-4842-4432-6 / 9781484244326 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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