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

Uses cases

As mentioned at the start of the chapter, the tiering functionality should be thought of as tiering and not a cache. The reason behind this statement is that the act of promotions has a detrimental effect to cluster performance when compared with most caching solutions, which do not normally degrade performance if enabled on non-cacheable workloads. The performance impact of promotions are caused for two main reasons. First, the promotion happens in the I/O path; the entire object to be promoted needs to be read from the base tier and then written into the top tier before the I/O is returned to the client.

Second, this promotion action will likely also cause a flush and an eviction, which causes even more reads and writes to both tiers. If both tiers are using 3x replication, this starts to cause a large amount of write amplification for even just a single promotion...