Mohan Potheri

Mohan Potheri is VCDX#98 and has more than 20 years in IT infrastructure, with in depth experience on VMWARE virtualization. He currently focuses on evangelization of "Business Critical Applications (BCA)" and "Big Data” Virtualization on vSphere. He has extensive experience with business critical applications such as SAP, Oracle, SQL and Java across UNIX, Linux and Windows environments. Mohan Potheri is an expert on SAP virtualization and has been a speaker in multiple VMWORLD and PEX events. Prior to VMWARE, Mohan worked at many large enterprises where he has engineered fully virtualized ERP and business critical applications. He has planned, designed, implemented and managed robust highly available, DR compliant SAP on Oracle environments in UNIX and x86 environments.

Recent Posts

Running singularity as the run time for Kubernetes with VMware PKS

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HPC’s shift to hybrid cloud and Kubernetes from Bare Metal:   While traditional computing has virtualized the majority of workloads over the past decade, HPC has mostly remained bare metal, with more than 80% of the workloads still remaining unvirtualized. With its eternal quest to extract maximum performance from the hardware, there has been a Read more...

Deploying and running Kubernetes on VMware Cloud on AWS

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Leveraging VMware PKS in VMware cloud on AWS:   Since the announcement of VMware Tanzu—a portfolio of products and services to help enterprises build, run and manage applications on Kubernetes—at VMworld US, our customers have been expressing their excitement. They are eager to drive adoption of Kubernetes and are looking to VMware to simplify the Read more...

On-Demand HPC on vSphere with UberCloud

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Introduction: Enterprise HPC Infrastructure teams supporting engineers have a challenging task keeping up with the latest advances in Hardware and capabilities. Until recently, engineers relied on their workstations and bare metal compute clusters for their HPC simulations. The downside, a workstation is not suitable for running very large, compute intensive simulation jobs and bare metal clusters Read more...

End to End Machine Learning with Natural Language processing for training and inference on vSphere (Part 2 of 2)

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In part 1 of the blog we introduced end to end machine learning. The conceptual architecture with all software and hardware components for the solution was described. The steps in the solution deployment were shown. Sentiment Analysis basics Sentiment Analysis is a binary classification task. It predicts positive or negative sentiment using raw user text. Read more...

End to End Machine Learning with Natural Language processing for training and inference on vSphere (Part 1 of 2)

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Introduction While virtualization technologies have proven themselves in the enterprise with cost effective, scalable and reliable IT computing, Machine Learning (ML) however has not evolved and is still bound to dedicating physical resources to obtain explicit runtimes and maximum performance. VMWare and Bitfusion has developed technologies to effectively share accelerators for machine learning over the Read more...