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

Scaling HPC and ML with GPUDirect RDMA on vSphere 6.7 (Part 1 of 2)

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Introduction High Performance Computing (HPC) and Machine Learning (ML) workloads are extremely resource intensive, often relying on hardware acceleration to achieve the performance necessary to solve large, complex problems in a timely way. Interconnect acceleration – special hardware that delivers extremely high bandwidth and low latency, and compute acceleration – often delivered through exploitation of Read more...

Virtualized High Performance Computing (HPC) Reference Architecture (Part 2 of 2)

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In part 1 of this series we looked at traditional HPC and introduced  virtualized HPC components. Part 2 will look at the design and show sample virtual reference architectures for  HPC workloads. vSphere Clusters: High Performance Computing workloads have management and compute components. Most VMware environments have a separate management cluster that should be leveraged. Read more...

New Architectures for Apache Spark™ and Big Data

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Key Trends in Big Data Infrastructure: Some of the key trends in big data infrastructure over the past couple of years are: • Decoupling of Compute and Storage Clusters • Separate compute virtual machines from storage VMs • Data is processed and scaled independently of compute • Dynamic Scaling of compute nodes used for analysis Read more...