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)

Chatbot interactions

As we move toward intelligent operations, another area to focus on is mobility. It's good to have a script to perform configurations, remediations, or even troubleshooting, but it still requires a presence to monitor, initiate, or even execute those programs or scripts. Taking this forward as we grow into a world of chats and voice enabled interactions, let's create a chatbot to assist in network operations.

For this use case, we will use a widely-used chat application, Slack. Referring to the intelligent data analysis capabilities of Splunk, we would see some user chat interaction with the chatbot, to get some insight into the environment.

As we have our web framework deployed, we'll leverage the same framework to interact with the Slack chatbot, which in turn will interact with Splunk. It can also interact directly with network devices so...