Monitoring solutions should collect and monitor end-to-end service-level and infrastructure-level KPIs, such as response times by transaction and service availability, and alert on deviations. It can understand and map all of the components of the end-to-end service, such as applications and application components, and monitor the performance and availability of all of the application platform components, such as the web server, application server, message bus, and database. We should understand and map all of the virtual and physical infrastructure components, including VMs, server, storage, and network, by monitoring the performance and availability of all of the virtual and physical infrastructure components. We can combine and correlate all these parameters to generate alerts by identifying the root cause of alerts. IT Operation...
Intelligent Automation with VMware
By :
Intelligent Automation with VMware
By:
Overview of this book
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.
This book begins by highlighting how VMware addresses business issues related to its workforce, customers, and partners with emerging technologies such as machine learning to create new, intelligence-driven, end user experiences.
You will learn how to apply machine learning techniques incorporated in VMware solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques.
At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products.
Table of Contents (19 chapters)
Preface
Free Chapter
Section 1: VMware Approach with ML Technology
Machine Learning Capabilities with vSphere 6.7
Proactive Measures with vSAN Advanced Analytics
Security with Workspace ONE Intelligence
Proactive Operations with VMware vRealize Suite
Intent-Based Manifest with AppDefense
Section 2: ML Use Cases with VMware Solutions
ML-Based Intelligent Log Management
ML as a Service in the Cloud
ML-Based Rule Engine with Skyline
DevOps with vRealize Code Stream
Transforming VMware IT Operations Using ML
Section 3: Dealing with Big Data, HPC , IoT, and Coud Application Scalability through ML
Network Transformation with IoT
Virtualizing Big Data on vSphere
Cloud Application Scaling
High-Performance Computing
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