Charu Chaubal

Charu Chaubal is the Director of Technical Marketing for the Cloud Platform Business Unit at VMware, and runs the team that works on the vSphere product line. He has been at the company since 2006, and has been responsible for customer education and sales enablement for a wide range of datacenter technologies, such as hypervisor security, hyperconverged storage, and virtualization of data science applications. Previously, he worked at Sun Microsystems, where he had over 7 years experience with architecting distributed resource management and HPC infrastructure software solutions.

Recent Posts

Best Practices for Virtualizing Oracle

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The following best practices for virtualizing Oracle can provide useful guidance for virtual CPU, virtual memory, networking and storage setup. Learn more: Virtualizing Business Critical Applications Whitepaper [39-page PDF] Read more...

Driving Down Database TCO with VMware Data Director and SAP-Sybase ASE

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A recent IDC study concluded SAP-Sybase Adaptive Server Enterprise (ASE) has the lowest total cost of ownership compared to other relational database management systems (RDBMS). The study found ASE required 27% less processing power and servers than other RDBMS.VMware found ASE’s threaded architected to be equally efficient when running on VMware vSphere. Our validation testing Read more...

Support Statements for Running Business Critical Applications on vSphere

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As the industry standard for virtualization, vSphere has received strong ISV support from 18,000 ISVs, including support statements from the four largest ISVs: Microsoft, IBM, SAP, and Oracle (Source: VMware customer surveys, Jan 2010 and June 2011.) Microsoft Support Support statements for Microsoft products can be found at these links: • Windows Microsoft software • Microsoft Read more...

Update on Virtualizing Hadoop

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Hadoop is a modern application with features such as consolidation of jobs and HA that overlap with capabilities enabled by virtualization. This leads some to believe there is no motivation for virtualizing Hadoop; however, there are a variety of reasons for doing so. Some of these are: Scheduling – Taking advantage of unused capacity in existing virtual Read more...