Book Image

Learning CoreOS

By : Kingston Smiler. S, Shantanu Agrawal
Book Image

Learning CoreOS

By: Kingston Smiler. S, Shantanu Agrawal

Overview of this book

CoreOS is an open source operating system developed upon the Linux kernel. The rise of CoreOS is directly related to the rise of Docker (a Linux container management system). It is a minimal operating system layer and takes a different approach to automating the deployment of containers. The major difference between CoreOS and other Linux distributions is that CoreOS was designed to deploy hundreds of servers. CoreOS immensely helps the users to create systems, which are easy to scale and manage, making life easier for all, be it developer, QA, or deployer. This book is all about setting up, deploying, and using CoreOS to manage clusters and clouds. It will help you understand what CoreOS is and its benefits as a cloud orchestration platform. First, we’ll show you how to set up a simple CoreOS instance with single node in the cluster and how to run a Docker container inside the CoreOS instance. Next, you’ll be introduced to Fleet and systemd, and will deploy and distribute Docker services across different nodes in cluster using Fleet. Later, you’ll be briefed about running services in a cluster with constraints, publishing the services already running on the cluster to new services, and making your services interact with each other. We conclude by teaching you about advanced container networking. By the end of the book, you will know the salient features of CoreOS and will be able to deploy, administrate, and secure a CoreOS environment.
Table of Contents (15 chapters)
Learning CoreOS
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

The why and the benefits of clustering


Horizontal scalability of a system is limited by hardware resources available in the market. For instance, scaling up RAM from 8 GB to 32 or 64 GB may be cost effective, as many products may be commonly available, but increasing it further may be cost inhibitive. Similarly, scaling up CPU is also limited by system configuration available in the market. Further doubling the hardware capability doesn't result in equal performance improvements. It's typically less.

With virtualization and cloud services, the cost of buying and maintaining hardware is coming down, making vertical scaling or clustering or scaling out more is lucrative. The increased performance of communication networks has considerably reduced the latency in the communication of nodes in the cluster. Clustering has various advantages, such as:

  • On-demand scaling: The nodes in the cluster can be added as and when required. We can start with a dimensioned system and keep on adding nodes as...