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Implement and manage your software-defined, massively scalable storage system
Key Features
Book Description
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.
What You Will Learn
Who This Book Is For
A basic knowledge of GNU/Linux, and storage systems, and server components is assumed. If you have no experience of software-defined storage solutions and Ceph, but are eager to learn about them, this is the book for you.
About the Author: Anthony D'Atri's career in system administration has spanned laptops to vector supercomputers. He has brought his passion for fleet management and the underlying server components to bear on a holistic yet, detailed approach to deployment and operations. Experience with architecture, operation, and troubleshooting of NetApp, ZFS, SVM, and other storage systems dovetailed neatly into Ceph. Three years with Ceph as a petabyte-scale object and block backend to multiple OpenStack clouds at Cisco, additionally built on Anthony's depth. Now helping deliver awesome storage to DigitalOcean's droplet customers, Anthony aims to help the growing community build success with Ceph.. Anthony would like to thank everyone whose technical and professional support have contributed to his success with Ceph, including Cisco, Digital Ocean, Michael Kidd, Tupper Cole, James Donohoe, Louis Watta, Jade Lester, Narendra Trivedi, Weiguo Sun, Richard ""Fuzzy"" Miller, Damon Hsu-Hung, Satish Sangapu, Shweta Saraf, Swati Gaikwad, Yi Chen, Ryan Roemmich, Sebastian Sobolewski, Stan Ayzenberg, Sébastien Han, Adam Wolfe Gordon, Vaibhav Bhembre, William Lehman, and Dan van der Ster. Paramount thanks to his wife Suzanne for her support, patience, and support of his long hours.
Title: Learning IBM Watson Analytics: Make the most...
Publisher: Packt Publishing
Publication Date: 2016
Binding: Paperback
Condition: Very Good
Dust Jacket Condition: No Jacket
Seller: Hamelyn, Madrid, M, Spain
Condition: Muy bueno. : Aprenda a utilizar IBM Watson Analytics para realizar análisis predictivos avanzados de forma sencilla con esta guía práctica. Este libro le mostrará cómo aprovechar Watson en un entorno empresarial a través de casos de uso enriquecidos. Descubra cómo incorporar Watson Analytics en su estrategia empresarial y añada con confianza esta experiencia de vanguardia a su currículum. Este libro está escrito por James D Miller, experto certificado por IBM y consumado Director y Jefe de Proyecto. EAN: 9781785880773 Tipo: Libros Categoría: Tecnología|Negocios y Economía|Educación|Ciencias Título: Learning IBM Watson Analytics Autor: James D. Miller Editorial: Packt Publishing Idioma: en Páginas: 244 Formato: tapa blanda. Seller Inventory # Happ-2024-05-16-3e8e893f
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_380903018
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Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1. Seller Inventory # G1785880772I3N00
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