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Preface
Who this book is for
What this book covers
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Section 1: VMware Approach with ML Technology
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
Adding vGPU hosts to a cluster with vGPU Manager
ML 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
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
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
FTT policy with RAID configurations
Summary
Further reading
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
Identifying unsupported OS versions and platforms
Tracking 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
Extended management for rugged devices
Summary
Proactive Operations with VMware vRealize Suite
Technical requirements
Unified end-to-end monitoring
Intelligent operational analytics
The vRealize Operations Manager architecture
Application architecture overview
Capacity planning
Critical success factors
Kubernetes solution from VMware
Pivotal Container Service and VMware Kubernetes Engine
SDDC journey stages
VMware container-based services
Deploying NSX-T for network virtualization on ESXi and deploying PKS for use in a private cloud
Deploying the NSX-T foundation
Deploying and running containerized workloads
VMware Cloud on AWS
VMware Cloud on AWS differs from on-premises vSphere
VMware Cloud on the AWS implementation plan
Implementation plan for VMware Cloud on AWS
Detailed initial steps to configure VMC on AWS
Installation, configuration, and operating procedures
Hybrid-linked-mode testing functionality
Support and troubleshooting
Summary
Further reading
Intent-Based Manifest with AppDefense
Technical requirements
VMware innovation for application security
Digital governance and compliance
Intelligent government workflows with automation
Transforming networking and security
Business outcomes of the VMware approach
Expanding globally with AppDefense
Application-centric alerting for the SOC
Transforming application security readiness
Innovating IT security with developers, security, and the Ops team
Least-privilege security for containerized applications
Enhanced security with AppDefense
AppDefense and NSX
Detailed implementation and configuration plan
Environment preparation for AppDefense deployment
Summary
Section 2: ML Use Cases with VMware Solutions
ML-Based Intelligent Log Management
Technical requirements
Intelligent log management with vRealize Log Insight
Log Intelligence value propositions
Log Intelligence key benefits for service providers
Audit log examples
Cloud operations stages
Standardize
Service Broker
Strategic partner
The Log Insight user interface
Indexing performance, storage, and report export
The user experience
Events
VMware vReaIize Network Insight
Supported data sources
Summary
ML as a Service in the Cloud
Technical requirements
MLaaS in a private cloud
VMware approach for MLaaS
MLaaS using vRealize Automation and vGPU
NVIDIA vGPU configuration on vSphere ESXi
Customizing the vRealize Automation blueprint
LBaaS overview
LBaaS design use cases
Challenges with network and security services
The NaaS operating model
LBaaS network design using NSX
BIG-IP DNS high-level design
Customizing the BIG-IP DNS component
The BIG-IP DNS load-balancing algorithm
Global availability
Ratio
Round robin
The LBaaS LTM design
Configuring BIG-IP LTM objects
Designing the LTM load-balancing method
Designing the LTM virtual server
Summary
ML-Based Rule Engine with Skyline
Technical requirements
Proactive support technology – VMware Skyline
Collector, viewer, and advisor
Release strategy
Overview of Skyline Collector
The requirements for Skyline Collector
Networking requirements
Skyline Collector user permissions
VMware Skyline Collector admin interface
Linking with My VMware account
Managing endpoints
Configuring VMware Skyline Collector admin interface
Auto-upgrade
CEIP
Types of information that are collected
Product usage data utilization
Summary
DevOps with vRealize Code Stream
Technical requirements
Application development life cycles
CD pipeline
CI pipeline
Planning
SDLC
SCM
CI
AR
Release pipeline automation (CD)
CM
HC
COM
Feedback
Request fulfillment
Change management
Release management
Compliance management
Incident management
Event management
Capacity management
Wavefront dashboard
Getting insights by monitoring how people work
Automation with vRealize
Deploying Infrastructure as Code
vRealize Code Stream
Pipeline automation model – the release process for any kind of software
vRCS deployment architecture
System architecture
Integrating vRCS with an external, standalone vRA
Summary
Further reading
Transforming VMware IT Operations Using ML
Overview on business and operations challenges
The challenges of not having services owners for the operations team
A solution with service owners
Responsibilities of the service owner
Transforming VMware technical support operations
SDDC services
Service catalog management
Service design, development, and release
Cloud business management operations
Service definition and automation
NSX for vSphere
Recommendations with priority
Recommendations with priority 1
Recommendations with priority 2
Recommendations with priority 3
Virtual data centers
IaaS solution using vRealize Suite
Business-level administration and organizational grouping
vRA deployment
vRA appliance communication
Services running as part of the identity service
A complete solution with the desired result
Summary
Section 3: Dealing with Big Data, HPC , IoT, and Coud Application Scalability through ML
Network Transformation with IoT
Technical requirements
IoT
VMware Pulse
The queries that arise related to VMware Pulse
Pulse IoT Center infrastructure management blueprint
Deploying and configuring the OVA
Configuring IoT support
Virtual machines in the OVA
IoT use cases with VMware Pulse
Powering the connected car (automotive industry)
Entertainment, parks, and resorts
Smart hospitals (medical)
Smart surveillance (higher education)
Smart warehouse (retail industry)
The internet of trains (transportation and logistics)
The financial industry
Smart weather forecasting
IoT data center network security
NSX distributed firewall
Prerequisites to any automation
Hybrid cloud for scale and distribution
Summary
Virtualizing Big Data on vSphere
Technical requirements
Big data infrastructure
Hadoop as a service
Deploying the BDE appliance
Configuring the VMware BDE
The BDE plugin
Configuring distributions on BDE
The Hadoop plugin in vRO
Open source software
Considering solutions with CapEx and OpEx
Benefits of virtualizing Hadoop
Use case – security and configuration isolation
Case study – automating application delivery for a major media provider
Summary
Further reading
Cloud Application Scaling
Technical requirements
Cloud-native applications
Automation with containers
Container use cases
Challenges with containers
PKS on vSphere
PKS availability zone
PKS/NSX-T logical topologies
Use cases with different configurations
PKS and NSX-T Edge Nodes and Edge Cluster
PKS and NSX-T communications
Storage for K8s cluster node VMs
Datastores
Summary
High-Performance Computing
Technical requirements
Virtualizing HPC applications
Multi-tenancy with guaranteed resources
Critical use case – unification
High-performance computing cluster performances
A standard Hadoop architecture
Standard tests
Intel tested a variety of HPC benchmarks
Summary
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