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Learning Ceph. Unifed, scalable, and reliable open source storage solution - Second Edition

Język publikacji: angielskim
Learning Ceph. Unifed, scalable, and reliable open source storage solution - Second Edition Karan Singh, Vaibhav Bhembre, Anthony D'Atri - okladka książki

Learning Ceph. Unifed, scalable, and reliable open source storage solution - Second Edition Karan Singh, Vaibhav Bhembre, Anthony D'Atri - okladka książki

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Learning Ceph, Second Edition will give you all the skills you need to plan, deploy, and effectively manage your Ceph cluster. You will begin with the first module, where you will be introduced to Ceph use cases, its architecture, and core projects. In the next module, you will learn to set up a test cluster, using Ceph clusters and hardware selection. After you have learned to use Ceph clusters, the next module will teach you how to monitor cluster health, improve performance, and troubleshoot any issues that arise. In the last module, you will learn to integrate Ceph with other tools such as OpenStack, Glance, Manila, Swift, and Cinder.
By the end of the book you will have learned to use Ceph effectively for your data storage requirements.

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O autorach książki

Karan Singh devotes a part of his time in learning emerging technologies and enjoys the challenges that come with it. He loves tech writing and is an avid blogger. He also authored the first edition of Learning Ceph and Ceph Cookbook, Packt Publishing. You can reach him on Twitter at @karansingh010.
Vaibhav Bhembre is a systems programmer working currently as a technical lead for cloud storage products at DigitalOcean. He holds a bachelor's degree in computer engineering from the University of Mumbai and a master's degree in computer science from the State University of New York in Buffalo. Before joining DigitalOcean, Vaibhav wore multiple hats and lead the backend engineering and reliability engineering teams at Sailthru Inc. From helping to scale dynamically generated campaign sends to over million users at a time, to architecting a cloud-scale compute and storage platform, Vaibhav has years of experience writing software across all layers of the stack. During his time as a student, Vaibhav co-published a novel graph algorithm that optimally computed closeness and betweenness in an incrementally updating social network. He also made changes to a highly available distributed file-system built on top of iRODs data management framework as his master's project. This system, that was actively used across more than 10+ educational institutions live, was his foray into large-scale distributed storage and his transition into using Ceph professionally was only natural.

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