Book Image

Practical Network Automation - Second Edition

By : Abhishek Ratan
Book Image

Practical Network Automation - Second Edition

By: Abhishek Ratan

Overview of this book

Network automation is the use of IT controls to supervise and carry out everyday network management functions. It plays a key role in network virtualization technologies and network functions. The book starts by providing an introduction to network automation, and its applications, which include integrating DevOps tools to automate the network efficiently. It then guides you through different network automation tasks and covers various data digging and performing tasks such as ensuring golden state configurations using templates, interface parsing. This book also focuses on Intelligent Operations using Artificial Intelligence and troubleshooting using chatbots and voice commands. The book then moves on to the use of Python and the management of SSH keys for machine-to-machine (M2M) communication, all followed by practical use cases. The book also covers the importance of Ansible for network automation, including best practices in automation; ways to test automated networks using tools such as Puppet, SaltStack, and Chef; and other important techniques. Through practical use-cases and examples, this book will acquaint you with the various aspects of network automation. It will give you the solid foundation you need to automate your own network without any hassle.
Table of Contents (9 chapters)

What this book covers

Chapter 1, Fundamental Concepts of Network Automation, introduces you to how to get started with automation. This will also help you learn and understand the various important aspects of network automation.

Chapter 2, Python Automation for Network Engineers, walks you through the methods and samples of how to get data and parse through the use of regexes. We will also learn about a number of advanced topics, such as writing Python scripts for network automation. With the help of a use case, readers will be able to automate their network using Python.

Chapter 3, Ansible and Network Templatizations, focuses on using templates for network golden states, and auto deployments of infrastructure using Ansible. We will also learn about how to virtualize Oracle databases and scale dynamically to ensure service levels.

Chapter 4, Using Artificial Intelligence in Operations, includes the implementation of AI in operations in order to perform self healing and remediations.

Chapter 5, Web Framework for Automation Triggers, discusses how to make scalable calls to automation frameworks and generate custom HTML/dynamic pages. This chapter will also cover the performance of complex tasks using API calls, along with the use case toward the end.

Chapter 6, Continual Integration, provides an overview and integration principles for network engineers with a view to managing rapid growth with high availability and rapid disaster recovery.