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

Docker data volume management


One of the main aspects of the container that we haven't discussed until now is the container's data volume management. In this section, we are going to see some basic concepts of container data volume management, some of the major problems in data volume management, and their solutions.

As you may be aware, the docker container provides two different ways of managing the data volumes as:

  • Data volumes

  • Data volume containers

The preceding two mechanisms provide various ways for storing the data in a persistent volume, a way to mount a host directory as a data volume, a way to mount a host file as a data volume, and so on. This works well until the containers are tied to a particular node/server in the cluster.

Docker data volume management

When the container is moving from one server to another server, the data volume should also be moved. Typically, the data volume won't be moved when the container is moved from one node to another. This is because the docker/orchestration...