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)

Questions

  1. What is the full form of ML?

  2. Linear regression algorithms are part of which learning method?

  3. Intelligent remediation can be triggered without machine learning. True/False

  4. What is the full form of RPA?

  5. Can we predict the usage of a network device based upon the number of users accessing it? (Yes/No)

  6. What is the recommended ratio of test and training data?

  7. Can we create a new machine learning algorithm in Splunk? (Yes/No)

  8. Is Splunk used as data collector ?(Yes/No)