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DevOps in Python : infrastructure as 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 f...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Apress,
[2022]
|
| Edición: | 2nd ed. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Zadka, Moshe, |e author. | |
| 245 | 1 | 0 | |a DevOps in Python : |b infrastructure as Python / |c Moshe Zadka. |
| 250 | |a 2nd ed. | ||
| 264 | 1 | |a New York, NY : |b Apress, |c [2022] | |
| 300 | |a 1 online resource (245 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 520 | |a 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. | ||
| 505 | 0 | |a Chapter 1: Installing Python -- Chapter 2: Packaging -- Chapter 3: Interactive usage -- Chapter 4: OS Automation -- Chapter 5: Testing -- Chapter 6: Text manipulation -- Chapter 7: Requests -> httpx -- Chapter 8: Cryptography -- Chapter 9: Paramiko -- Chapter 10: Salt Stack -- Chapter 11: Ansible -- Chapter 12: Containers -- Chapter 13: AWS -- Chapter 14: Kubernetes -- Chapter 15: Terraform. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Computer software |x Development |x Management. | |
| 650 | 0 | |a Python (Computer program language) | |
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| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
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