Python for DevOps : learn ruthlessly effective automation
Material type: TextPublication details: New Delhi : Shroff Publishers, ©2021Description: xx, 481 p. : ill. ; 24 cmISBN:- 9789352139583
- 005.133 23 GIF-P
- QA76.73.P98 G54 2020
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
Books | IIITD General Stacks | Computer Science and Engineering | 005.133 GIF-P (Browse shelf(Opens below)) | Available | 012186 |
Browsing IIITD shelves, Shelving location: General Stacks, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)
005.133 FRA-P Pro visual C++/CLI and the .NET 3.5 platform | 005.133 GAN-C The c odyssey c++ & graphics : | 005.133 GHO-A All of C | 005.133 GIF-P Python for DevOps : | 005.133 GOE-J Java concurrency in practice | 005.133 GOO-B Becoming a better programmer | 005.133 GOO-B Becoming a better programmer |
Includes index.
Includes bibliographical references and index.
Python essentials for DevOps -- Automating files and the Filesystem -- Working with the command line -- Useful Linux utilities -- Package management -- Continuous integration and continuous deployment -- Monitoring and logging -- Pytest for DevOps -- Cloud computing -- Infrastructure as code -- Container technologies : Docker and Docker compose -- Container orchestration : Kubernetes -- Serverless technologies -- MLOps and machine learning engineering -- Data engineering -- DevOps war stories and interviews. 1. Python Essentials for DevOps 2. Automating Files and the Filesystem 3. Working with the Command Line 4. Useful Linux Utilities 5. Package Management 6. Continuous Integration and Continuous Deployment 7. Monitoring and Logging 8. Pytest for DevOps 9. Cloud Computing 10. Infrastructure as Code 11. Container Technologies: Docker and Docker Compose 12. Container Orchestration: Kubernetes 13. Serverless Technologies 14. MLOps and Machine learning Engineering 15. Data Engineering 16. DevOps War Stories and Interviews
"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."--
There are no comments on this title.