Autonomous Datacenter
Datacenter that Runs Itself and Heals Itself
(Sprache: Englisch)
With the convergence of AI, machine learning, and cloud computing, autonomous datacenters that run themselves are becoming a reality. Companies that embrace autonomous datacenters and professional with skills to design and create autonomous datacenters will...
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Klappentext zu „Autonomous Datacenter “
With the convergence of AI, machine learning, and cloud computing, autonomous datacenters that run themselves are becoming a reality. Companies that embrace autonomous datacenters and professional with skills to design and create autonomous datacenters will enjoy a competitive advantage. This book discusses how to create an autonomous datacenter that is capable of providing a pre-defined catalog of services, tuning itself to operate at optimal conditions, and diagnosing and healing itself without human intervention. The authors provide the framework and ingredients for creating an autonomous datacenter and discuss their benefits and applications. Readers will learn how the emergence of autonomous datacenters will impact the industry; what jobs will be created and which will be eliminated. Automated Datacenters is a must read for highly skilled professionals who wish to learn how to develop and tune the automation required to run the datacenter develop new solutions to align with changes in business conditions adapt automation to changing conditions and environment
Inhaltsverzeichnis zu „Autonomous Datacenter “
Chapter 1 What an Autonomous Datacenter is and is notChapter 2 Autonomous Datacenters in Action
Chapter 3 Ingredients of an Autonomous Datacenter
People
Culture
Tools
Chapter 4 Building an Autonomous Datacenter
Chapter 5 Operating an Autonomous Datacenter
Chapter 6 Optimizing Autonomous Datacenters
Chapter 7 Applying an Autonomous Datacenter in the Cloud Context
Chapter 8 Autonomous Datacenter Trends
Autoren-Porträt von Sherry S. Chang, Oliver W. Chen
Oliver Chen, Technical Marketing Engineer, Intel; Sherry Chang, Chief Architect, Intel; Sharad Varshney, Sr. Data Scientist, Peritus.ai
Bibliographische Angaben
- Autoren: Sherry S. Chang , Oliver W. Chen
- Altersempfehlung: Ab 22 Jahre
- 2020, 300 Seiten, mit Abbildungen, Maße: 15,5 x 23 cm, Taschenbuch, Englisch
- Verlag: De Gruyter
- ISBN-10: 1547416696
- ISBN-13: 9781547416691
- Erscheinungsdatum: 20.01.2020
Sprache:
Englisch
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