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

Benchmarking


There are utilities built into Ceph to measure performance, as well as valuable external tools. We'll discuss both. It's important to remember that workloads that issue smaller requests will yield much lower numbers than those issuing larger requests.

RADOS bench

To use Ceph's built-in tool, first create a dedicated, disposable pool to scribble into. For this to be a legitimate test, it must have the same attributes as your production pool: PG count, replication factor, CRUSH rules, etc.

Options to rados bench include:

  • -p: The name of our dedicated test pool
  • seconds: Number of seconds the test should run
  • write|seq|rand: Type of workload to present: write, sequential read, random read
  • -t: Number of concurrent operations; the default is 16
  • --no-cleanup: Don't clean up the objects created during the run

Let's run a 60-second write test against a small cluster with a pool named data. A dedicated pool should be used to ensure that user data is not clobbered. Longer tests are better than shorter...