Book Image

Ceph: Designing and Implementing Scalable Storage Systems

By : Michael Hackett, Vikhyat Umrao, Karan Singh, Nick Fisk, Anthony D'Atri, Vaibhav Bhembre
Book Image

Ceph: Designing and Implementing Scalable Storage Systems

By: Michael Hackett, Vikhyat Umrao, Karan Singh, Nick Fisk, Anthony D'Atri, Vaibhav Bhembre

Overview of this book

This Learning Path takes you through the basics of Ceph all the way to gaining in-depth understanding of its advanced features. You’ll gather skills to plan, deploy, and manage your Ceph cluster. After an introduction to the Ceph architecture and its core projects, you’ll be able to set up a Ceph cluster and learn how to monitor its health, improve its performance, and troubleshoot any issues. By following the step-by-step approach of this Learning Path, you’ll learn how Ceph integrates with OpenStack, Glance, Manila, Swift, and Cinder. With knowledge of federated architecture and CephFS, you’ll use Calamari and VSM to monitor the Ceph environment. In the upcoming chapters, you’ll study the key areas of Ceph, including BlueStore, erasure coding, and cache tiering. More specifically, you’ll discover what they can do for your storage system. In the concluding chapters, you will develop applications that use Librados and distributed computations with shared object classes, and see how Ceph and its supporting infrastructure can be optimized. By the end of this Learning Path, you'll have the practical knowledge of operating Ceph in a production environment. This Learning Path includes content from the following Packt products: • Ceph Cookbook by Michael Hackett, Vikhyat Umrao and Karan Singh • Mastering Ceph by Nick Fisk • Learning Ceph, Second Edition by Anthony D'Atri, Vaibhav Bhembre and Karan Singh
Table of Contents (27 chapters)
Title Page
About Packt
Contributors
Preface
Index

Ceph rados bench


Ceph ships with an inbuilt benchmarking tool known as the rados bench, which can be used to measure the performance of a Ceph cluster at the pool level. The rados bench tool supports write, sequential read, and random read benchmarking tests, and it also allows the cleaning of temporary benchmarking data, which is quite neat.

How to do it...

Let's try to run some tests using the rados bench:

  1. To run a 10 second write test to the pool RDB without cleanup, use the following command:

        # rados bench -p rbd 10 write --no-cleanup

We get the following screenshot after executing the command:

You will notice my test actually ran for a total time of 17 seconds, this is due to running the test on VM's and extended time required to complete the write OPS for the test.

  1. Similarly, to run a 10-second sequential read test on the RBD pool, run the following:

Note

It might be interesting to know, in this case, why the read test finished in a few seconds, or why it didn't execute for the specified...