DevOps in Python infrastructure as Python /
By: Zadka, Moshe
Material type: BookPublisher: Berkeley, California : Apress, c2019.Description: xvi, 169 p. : ill. ; 26 cm.ISBN: 9781484244326Subject(s): Python (Computer program language) | Computer science | Software engineering | Management information systems | Python | Programming Languages, Compilers, Interpreters | Software Engineering | Software ManagementDDC classification: 004.36 ZA DE Online resources: Location MapItem type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai Main Collection | 004.36 ZA DE (Browse shelf) | Available | Oct2019 | T0062999 |
, Shelving location: Main Collection Close shelf browser
004.36 TA DI Distributed systems : | 004.36 TA DI Distributed systems : | 004.36 TA DI Distributed systems : | 004.36 ZA DE DevOps in Python | 004.368 GU PR The practical performance analyst : | 004.368 RH LE Learning MCollective / | 004.6 AD VA Advanced communication and networking : |
1: Installing Python -- 2: Interactive Uage -- 3: Packaging -- 4: Operating System Automation -- 5: Testing.-6: Text Manipulation -- 7: Requests -- 8: Cryptography -- 9: Paramiko -- 10: Salt Stack -- 11: Ansible -- Chapter 12: Docker -- Chapter 13: Amazon Web Services.
Explore and apply best practices for efficient application deployment. This book draws upon author Moshe Zadka's years of Dev Ops experience and focuses on the parts of Python, and the Python ecosystem, that are relevant for DevOps engineers. 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. .