Book Image

Ceph Cookbook - Second Edition

By : Vikhyat Umrao, Karan Singh, Michael Hackett
Book Image

Ceph Cookbook - Second Edition

By: Vikhyat Umrao, Karan Singh, Michael Hackett

Overview of this book

Ceph is a unified distributed storage system designed for reliability and scalability. This technology has been transforming the software-defined storage industry and is evolving rapidly as a leader with its wide range of support for popular cloud platforms such as OpenStack, and CloudStack, and also for virtualized platforms. Ceph is backed by Red Hat and has been developed by community of developers which has gained immense traction in recent years. This book will guide you right from the basics of Ceph , such as creating blocks, object storage, and filesystem access, to advanced concepts such as cloud integration solutions. The book will also cover practical and easy to implement recipes on CephFS, RGW, and RBD with respect to the major stable release of Ceph Jewel. Towards the end of the book, recipes based on troubleshooting and best practices will help you get to grips with managing Ceph storage in a production environment. By the end of this book, you will have practical, hands-on experience of using Ceph efficiently for your storage requirements.
Table of Contents (15 chapters)

Mapping Ceph Block Device

Now that we have created a block device on a Ceph cluster, in order to use this block device, we need to map it to the client machine. To do this, execute the following commands from the client-node1 machine.

How to do it...

  1. Map the block device to the client-node1:
        # rbd map --image rbd1 --name client.rbd
Notice the mapping of the images has failed due to a feature set mismatch!
  1. With Ceph Jewel the new default format for RBD images is 2 and Ceph Jewel default configuration includes the following default Ceph Block Device features:
    • layering: layering support
    • exclusive-lock: exclusive locking support
    • object-map: object map support (requires exclusive-lock)
    • deep-flatten: snapshot flatten...