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Python Network Programming

You're reading from   Python Network Programming Conquer all your networking challenges with the powerful Python language

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Product type Course
Published in Jan 2019
Publisher Packt
ISBN-13 9781788835466
Length 776 pages
Edition 1st Edition
Languages
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Concepts
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Authors (4):
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Dr. M. O. Faruque Sarker Dr. M. O. Faruque Sarker
Author Profile Icon Dr. M. O. Faruque Sarker
Dr. M. O. Faruque Sarker
Eric Chou Eric Chou
Author Profile Icon Eric Chou
Eric Chou
Abhishek Ratan Abhishek Ratan
Author Profile Icon Abhishek Ratan
Abhishek Ratan
Pradeeban Kathiravelu Pradeeban Kathiravelu
Author Profile Icon Pradeeban Kathiravelu
Pradeeban Kathiravelu
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Toc

Table of Contents (30) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
1. Fundamental Concepts 2. Python for Network Engineers FREE CHAPTER 3. Continuous Integration for Network Engineers 4. SDN Concepts in Network Automation 5. Low-Level Network Device Interactions 6. APIs and Intent-Driven Networking 7. The Python Automation Framework – Ansible Basics 8. The Python Automation Framework – Beyond Basics 9. AWS Cloud Networking 10. Working with Git 11. Sockets, IPv4, and Simple Client/Server Programming 12. Multiplexing Socket I/O for Better Performance 13. IPv6, Unix Domain Sockets, and Network Interfaces 14. Programming with HTTP for the Internet 15. Email Protocols, FTP, and CGI Programming 16. Programming Across Machine Boundaries 17. Working with Web Services – SOAP, and REST 18. Network Monitoring and Security 19. Network Modeling 20. Authentication, Authorization, and Accounting (AAA) 21. Open and Proprietary Networking Solutions 22. NFV and Orchestration – A Larger Ecosystem 23. Programming the Internet 1. Other Books You May Enjoy Index

DevOps


Historically, there have been two specific teams in every networking department. One of the teams is the engineering team, which is responsible for conceiving new ideas to improve the network and designing, deploying, and optimizing the current infrastructure. This team is primarily responsible for performing tasks such as configuration and cabling from scratch.

The other team is the support team. This team, also known as the operations team, ensures the current deployed infrastructure is up and running and focuses on performing day-to-day activities such as upgrades, quick fixes, and support to any consumers of that network infrastructure. In a traditional model, there are hand-offs and knowledge transfers from the engineering team to the operations team for support of the current deployed infrastructure. Because of the segregation of the two teams, the engineer team members do not focus on writing clear documentation, or sometimes do not even provide adequate information to operations team members, causing delays in troubleshooting and fixing issues. This could even lead to a simple solution scaling to a bigger problem because of the different approach that a engineering team member would take compared to an operations team member.

Nowadays, to solve this problem, the DevOps model was conceived, which brings the best from both teams. Rather than being a fancy designation, a DevOps model is a culture that needs to be created among the current teams. In a DevOps model, an engineer from any team is responsible for the complete life cycle of a specific project. This includes creating part of the infrastructure and supporting it by themselves. A big benefit of this model is that because a person has created a part of the system and supports it, they know all the aspects of that part and can work on it again to make it better by understanding the challenges that arise from customer or user experiences. A DevOps engineer should understand the engineering and operations for the part of the infrastructure that they have created. By adding an automation skill set to the DevOps experience, an engineer can manage complex tasks with ease and focus on reliability and scalability in a better manner than engineers who are distributed in different domains in the traditional model.

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