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
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
US School Grade: College Graduate Student
Illustrationen
10
40 s/w Abbildungen, 10 s/w Tabellen
40 b/w ill., 10 b/w tbl.
Maße
Höhe: 23 cm
Breite: 15.5 cm
ISBN-13
978-1-5474-1669-1 (9781547416691)
Schweitzer Klassifikation
Oliver Chen, Technical Marketing Engineer, Intel; Sherry Chang, Chief Architect, Intel; Sharad Varshney, Sr. Data Scientist, Peritus.ai
Chapter 1 What an Autonomous Datacenter is and is not Chapter 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
