Book Image

DevOps for Networking

By : Steven Armstrong
Book Image

DevOps for Networking

By: Steven Armstrong

Overview of this book

Frustrated that your company’s network changes are still a manual set of activities that slow developers down? It doesn’t need to be that way any longer, as this book will help your company and network teams embrace DevOps and continuous delivery approaches, enabling them to automate all network functions. This book aims to show readers network automation processes they could implement in their organizations. It will teach you the fundamentals of DevOps in networking and how to improve DevOps processes and workflows by providing automation in your network. You will be exposed to various networking strategies that are stopping your organization from scaling new projects quickly. You will see how SDN and APIs are influencing DevOps transformations, which will in turn help you improve the scalability and efficiency of your organizations networks operations. You will also find out how to leverage various configuration management tools such as Ansible, to automate your network. The book will also look at containers and the impact they are having on networking as well as looking at how automation impacts network security in a software-defined network.
Table of Contents (19 chapters)
DevOps for Networking
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

Summary


In this chapter, we saw that the varied load balancing solutions are available from proprietary vendors to open source solutions, and discussed the impact that microservices have had on load balancing, moving it from a centralized to distributed model to help serve east-west traffic.

We then looked at blue/green deployment models, the merits of immutable and static servers, and how software releases can be orchestrated using Ansible in either model. In the process, we illustrated how useful Ansible is at orchestrating load balancers by utilizing dynamic inventory, rolling updates, delegation, and jinja2 filters can all be used to help fulfill load balancing requirements.

The key takeaways from this chapter are that microservice applications have changed the way applications need to be load balanced, and distributed load balancing is better suited when deploying microservice applications, which have more east-west traffic patterns.

The reasons that immutable infrastructure is well-suited...