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VAMANIT - Virtual Automated Managed Application Network Intelligent Terminal Appliance with ThinkCloud Services Delivery Platform

We have been working on appliances for over a year. The concept and application of our technology is being actively validated in PoC's at customer locations. Cloud + Appliance model to create Simple, Secure and Frugal Cloud Services for Emerging Enterprises  is gaining traction. We are inspired by Vision of Industry leaders from Intel, Google, Apple, Cisco and IBM  to develop technology platforms for tomorrows intelligent, data driven connected cloud of everything. We believe in leveraging Internet of things, Big Data and Cloud technologies  to create high impact frugal solutions focused on emerging markets, We are not focusing on: 1. Traditional Data center Equipement 2. Conventional Personal Computers 3. Standard Storage or Network Equipment Our goal is to create complete solutions based on open, proven, industry accepted technologies. Vamanit in sanskrit literally means "make iT smaller"-Dwarfed... Our Information Infrastructure Stra...

Virtualization 2.0 - Benefits and Challenges

Virtualization as a technology existed from the mainframe era in large glasshouse data centers. Transfer of virtualization technology on to commodity x86 based hardware has increased the adoption of virtualization. The first generation of x86 based Virtualization technologies had limited use in testing, development and re-hosting legacy applications. We are seeing rapid evolution of Virtualization technologies by the vendor community into what we know as Virtualization 2.0. What is Virtualization 2.0 ? In my view, Virtualization 2.0 is about taking the virtualization from development, staging and production servers to Desktop (Virtual Desktop Infrastructure - VDI), Mobile and affordable Cloud based Disaster Recovery/business continuity applications. Virtualization 2.0 signifies free/inexpensive access to advanced hypervisor based Virtualization technologies from various vendors. This is allowing the change in deployment models for virtualization from typical scale-up approach(SMP with ...