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Ceph Cookbook

Ceph Cookbook

By : Karan Singh, Hackett, Umrao
4.2 (9)
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Ceph Cookbook

Ceph Cookbook

4.2 (9)
By: Karan Singh, Hackett, Umrao

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)
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Cache tiering – possible dangers in production environments

Prior to deploying cache tiering in any type of production use-case proper thorough testing should be done to validate no outlying performances issues due to the cache tiering feature. Cache tiering has been known to deteriorate read/write performance in most client workloads and should be used only with extreme caution:

  • Workload dependent: The use of cache tiering to improve cluster performance is dependent on the type of work the cluster will be doing. The promoting and demotion of objects in and out of the cache can only be effective if there is large commonality in the data access pattern and client requests reach a smaller number of objects. When designing the cache pool, it is important that it is large enough to capture your planned working set for the defined workload to avoid any type of cache thrashing...

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