Mastering Python Networking Third Edition

Your one-stop solution to using Python for network automation, programmability, and DevOps

Eric Chou 지음

Packt(GCO Science) 2020년 01월 30일 출간

작품소개

책소개

New edition of the bestselling guide to mastering Python Networking, updated to Python 3 and including the latest on network data analysis, Cloud Networking, Ansible 2.8, and new libraries

▶Book Description
Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Third edition, you'll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks.

This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. Each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts.

Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network.

▶What You Will Learn
-Use Python libraries to interact with your network
-Integrate Ansible 2.8 using Python to control Cisco, Juniper, and Arista network devices
-Leverage existing Flask web frameworks to construct high-level APIs
-Learn how to build virtual networks in the AWS & Azure Cloud
-Learn how to use Elastic Stack for network data analysis
-Understand how Jenkins can be used to automatically deploy changes in your network
-Use PyTest and Unittest for Test-Driven Network Development in networking engineering with Python

▶Key Features
-Explore the power of Python libraries to tackle difficult network problems efficiently and effectively, including pyATS, Nornir, and Ansible 2.8
-Use Python and Ansible for DevOps, network device automation, DevOps, and software-defined networking
-Become an expert in implementing advanced network-related tasks with Python 3

▶Who This Book Is For
Mastering Python Networking, Third edition is for network engineers, developers, and SREs who want to use Python for network automation, programmability, and data analysis. Basic familiarity with Python programming and networking-related concepts such as Transmission Control Protocol/Internet Protocol (TCP/IP) will be useful.

목차

▶TABLE of CONTENTS
-Chapter 1: Review of TCP/IP Protocol Suite and Python
-Chapter 2: Low-Level Network Device Interactions
-Chapter 3: APIs and Intent-Driven Networking
-Chapter 4: The Python Automation Framework ？ Ansible Basics
-Chapter 5: The Python Automation Framework ？ Beyond Basics
-Chapter 6: Network Security with Python
-Chapter 7: Network Monitoring with Python ？ Part 1
-Chapter 8: Network Monitoring with Python ？ Part 2
-Chapter 9: Building Network Web Services with Python
-Chapter 10: AWS Cloud Networking
-Chapter 11: Azure Cloud Networking
-Chapter 12: Network Data Analysis with Elastic Stack
-Chapter 13: Working with Git
-Chapter 14: Continuous Integration with Jenkins
-Chapter 15: Test-Driven Development for Networks

책 속으로

▶What this book covers
- Chapter 1, Review of TCP/IP Protocol Suite and Python, reviews the fundamental technologies that make up internet communication today, from the OSI and clientserver model to the TCP, UDP, and IP protocol suites. The chapter will review the basics of the Python language such as types, operators, loops, functions, and packages.

- Chapter 2, Low-Level Network Device Interactions, uses practical examples to illustrate how to use Python to execute commands on a network device. It will also discuss the challenges of having a CLI-only interface in automation. The chapter will use the Pexpect, Paramiko, Netmiko, and Nornir libraries for the examples.

- Chapter 3, APIs and Intent-Driven Networking, discusses the newer network devices that support Application Programming Interfaces (APIs) and other high-level interaction methods. It also illustrates tools that allow the abstraction of low-level tasks while focusing on the intent of the network engineers. A discussion about and examples of Cisco NX-API, Meraki, Juniper PyEZ, Arista Pyeapi, and Vyatta VyOS will appear in the chapter.

- Chapter 4, The Python Automation Framework ？ Ansible Basics, discusses the basics of Ansible, an open source, Python-based automation framework. Ansible moves one step further from APIs and focuses on declarative task intent. In this chapter, we will cover the advantages of using Ansible and its high-level architecture, and see some practical examples of Ansible with Cisco, Juniper, and Arista devices.

- Chapter 5, The Python Automation Framework ？ Beyond Basics, builds on the knowledge in the previous chapter and covers the more advanced Ansible topics. We will cover conditionals, loops, templates, variables, Ansible Vault, and roles. It will also cover the basics of writing custom modules.

- Chapter 6, Network Security with Python, introduces several Python tools to help you secure your network. It will discuss using Scapy for security testing, using Ansible to quickly implement access lists, and using Python for network forensic analysis.

- Chapter 7, Network Monitoring with Python ？ Part 1, covers monitoring the network using various tools. The chapter contains some examples using SNMP and PySNMP for queries to obtain device information. Matplotlib and Pygal examples will be shown for graphing the results. The chapter will end with a Cacti example using a Python script as an input source.

- Chapter 8, Network Monitoring with Python ？ Part 2, covers more network monitoring tools. The chapter will start with using Graphviz to graph the network from LLDP information. We will move to use examples with push-based network monitoring using Netflow and other technologies. We will use Python to decode flow packets and ntop to visualize the results. An overview of Elasticsearch and how it can be used for network monitoring will also be covered.

- Chapter 9, Building Network Web Services with Python, shows you how to use the Python Flask web framework to create our own API for network automation. The network API offers benefits such as abstracting the requester from network details, consolidating and customizing operations, and providing better security by limiting the exposure of available operations.

- Chapter 10, AWS Cloud Networking, shows how we can use AWS to build a virtual network that is functional and resilient. We will cover virtual private cloud technologies such as CloudFormation, VPC routing tables, access lists, Elastic IP, NAT gateways, Direct Connect, and other related topics.

- Chapter 11, Azure Cloud Networking, covers the network services by Azure and how to build network services with the service. We will discuss Azure VNet, Express Route and VPN, Azure network load balancers, and other related network services.
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▶ Preface
As Charles Dickens wrote in A Tale of Two Cities, "It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness." These seemingly contradictory words perfectly describe the chaos and mood felt during a time of change and transition. We are no doubt experiencing a similar time with the rapid changes in the field of network engineering. As software development becomes more integrated into all aspects of networking, the traditional command line interface and vertically integrated, network stack methods are no longer the best ways to manage today's networks. For network engineers, the changes we are seeing are full of excitement and opportunities and yet are challenging, particularly for those who need to quickly adapt and keep up. This book has been written to help ease the transition for networking professionals by providing a practical guide that addresses how to evolve from a traditional platform to one built on software-driven practices.

In this book, we use Python as the programming language of choice to master network engineering tasks. Python is an easy-to-learn, high-level programming language that can effectively complement network engineers' creativity and problem-solving skills to streamline daily operations. Python is becoming an integral part of many large-scale networks, and through this book I hope to share with you the lessons I've learned.

Since the publication of the first and second editions of this book, I have been able to have interesting and meaningful conversations with many of the readers of the book. I am humbled by the success of the first two editions and took to heart the feedback I was given. In this third edition, I tried to incorporate many of the newer libraries, update existing examples with the latest software and newer hardware platforms, and added two more chapters that I think are important for today's network engineers.

A time of change presents great opportunities for technological advancement. The concepts and tools in this book have helped me tremendously in my career, and I hope they can do the same for you.

작가정보

저자(글) Eric Chou

Eric Chou is a seasoned technologist with over 20 years of experience. He has worked on some of the largest networks in the industry while working at Amazon, Azure, and other Fortune 500 companies. Eric is passionate about network automation, Python, and helping companies build better security postures.In addition to being the author of Mastering Python Networking (Packt), he is also the co-author of Distributed Denial of Service (DDoS): Practical Detection and Defense, (O'Reilly Media).Eric is also the primary inventor for two U.S. patents in IP telephony. He shares his deep interest in technology through his books, classes, and blog, and contributes to some of the popular Python open source projects.