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Intelligent Automation with VMware : Apply Machine Learning Techniques to VMware Virtualization and Networking.
This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2019.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Kundan, Ajit Pratap. | |
| 245 | 1 | 0 | |a Intelligent Automation with VMware : |b Apply Machine Learning Techniques to VMware Virtualization and Networking. |
| 260 | |a Birmingham : |b Packt Publishing Ltd, |c 2019. | ||
| 300 | |a 1 online resource (328 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Section 1: VMware Approach with ML Technology; Chapter 1: Machine Learning Capabilities with vSphere 6.7; Technical requirements; ML and VMware; ML-based data analysis; Using virtualized GPUs with ML; Modes of GPU usage; Comparing ML workloads to GPU configurations; DirectPath I/O ; Scalability of GPU in a virtual environment; Containerized ML applications inside a VM; vGPU scheduling and vGPU profile selection; Power user and designer profiles ; Knowledge and task user profiles | |
| 505 | 8 | |a Adding vGPU hosts to a cluster with vGPU ManagerML with NVIDIA GPUs; Pool and farm settings in Horizon; Configuring hardware-accelerated graphics; Virtual shared graphics acceleration; Configuring vSGA settings in a virtual machine; Virtual machine settings for vGPU; GRID vPC and GRID vApps capabilities; GRID vWS to Quadro vDWS; Summary; Further reading; Chapter 2: Proactive Measures with vSAN Advanced Analytics; Technical requirements; Application scalability on vSAN; Storage and network assessment; Storage design policy; VMware best practices recommendations ; Network design policy | |
| 505 | 8 | |a VMware best practices recommendations VMware's Customer Experience Improvement Program/vSAN ReadyCare; Intelligent monitoring; General monitoring practices; vSAN Health Check plugin; vSAN Observer; vRealize Operations Manager monitoring; Challenges affecting business outcomes; Business benefits; Technical Issues; Technical solution; Log Intelligence advantages; HA configuration in stretched clusters; Two-node clusters; Witness appliance for the vSAN cluster; Configuring the vSAN cluster; vSAN policy design with SPBM; Defining a policy based on business objectives | |
| 505 | 8 | |a FTT policy with RAID configurationsSummary; Further reading; Chapter 3: Security with Workspace ONE Intelligence; Technical requirements; Workspace ONE Intelligence; Business objectives of Workspace ONE Intelligence; Integrated deep insights; App analytics for smart planning; Intelligent automation driven by decision engines; Design requirements; Conceptual designs; Top ten use cases of Workspace ONE Intelligence; Identifying and mitigating mobile OS vulnerabilities; Insights into Windows 10 OS updates and patches; Predicting Windows 10 Dell battery failures and automating replacement | |
| 505 | 8 | |a Identifying unsupported OS versions and platformsTracking OS upgrade progress; Monitoring device utilization or usage; Increasing compliance across Windows 10 devices; Comprehensive mobile app deployment visibility; Tracking migration and adoption of productivity applications; Adopting internal mobile applications; Workspace ONE Trust Network; Workspace ONE AirLift; Workspace ONE platform updates; Expanded Win32 app delivery; Simplified macOS adoption; Extended security for Microsoft Office 365 (O365) applications; VMware Boxer with Intelligent Workflows | |
| 500 | |a Extended management for rugged devices | ||
| 520 | |a This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today. | ||
| 504 | |a Includes bibliographical references. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 630 | 0 | 0 | |a VMware. |
| 630 | 0 | 7 | |a VMware |2 fast |
| 650 | 0 | |a Virtual computer systems. | |
| 650 | 0 | |a Computer networks. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Systèmes virtuels (Informatique) | |
| 650 | 6 | |a Réseaux d'ordinateurs. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Networking packages. |2 bicssc | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a Computer networking & communications. |2 bicssc | |
| 650 | 7 | |a Computers |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Computers |x Networking |x Vendor Specific. |2 bisacsh | |
| 650 | 7 | |a Computers |x Networking |x General. |2 bisacsh | |
| 650 | 7 | |a Computer networks |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Virtual computer systems |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Kundan, Ajit Pratap. |t Intelligent Automation with VMware : Apply Machine Learning Techniques to VMware Virtualization and Networking. |d Birmingham : Packt Publishing Ltd, ©2019 |z 9781789802160 |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2094766 |z Texto completo |
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| 938 | |a EBSCOhost |b EBSC |n 2094766 | ||
| 994 | |a 92 |b IZTAP | ||