Book Image

Mastering Ceph - Second Edition

By : Nick Fisk
Book Image

Mastering Ceph - Second Edition

By: Nick Fisk

Overview of this book

Ceph is an open source distributed storage system that is scalable to Exabyte deployments. This second edition of Mastering Ceph takes you a step closer to becoming an expert on Ceph. You’ll get started by understanding the design goals and planning steps that should be undertaken to ensure successful deployments. In the next sections, you’ll be guided through setting up and deploying the Ceph cluster with the help of orchestration tools. This will allow you to witness Ceph’s scalability, erasure coding (data protective) mechanism, and automated data backup features on multiple servers. You’ll then discover more about the key areas of Ceph including BlueStore, erasure coding and cache tiering with the help of examples. Next, you’ll also learn some of the ways to export Ceph into non-native environments and understand some of the pitfalls that you may encounter. The book features a section on tuning that will take you through the process of optimizing both Ceph and its supporting infrastructure. You’ll also learn to develop applications, which use Librados and distributed computations with shared object classes. Toward the concluding chapters, you’ll learn to troubleshoot issues and handle various scenarios where Ceph is not likely to recover on its own. By the end of this book, you’ll be able to master storage management with Ceph and generate solutions for managing your infrastructure.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Planning And Deployment
6
Section 2: Operating and Tuning
13
Section 3: Troubleshooting and Recovery

Example applications and the benefits of using RADOS classes

As mentioned earlier, with RADOS classes, code is executed directly inside the OSD code base and so can harness the combined power of all of the OSD nodes. With a typical client application approach, where the client would have to read the object from the Ceph cluster, run computations on it, and then write it back, there is a large amount of round-trip overhead. Using RADOS classes dramatically reduces the amount of round trips to and from OSDs, and also the available compute power is much higher than that single client could provide. Offloading operations directly to the OSDs therefore enables a single client to dramatically increase its processing rate.

A simple example of where RADOS classes could be used is where you need to calculate a hash of every object in a RADOS pool and store each object's hash as an...