Through cloud computing, VGIPL can rapidly deploy applications where the underlying technology components can expand & contract with the natural ebb & flow of the business life cycle. World-class data center is being established by VGIPL that can provide this Infrastructure-as-a-service (IaaS) & Software-as-a-Service (SaaS) in a very efficient manner. With cloud computing we are now able to reduce costs due to operational efficiencies and achieve rapid deployment of new business services.
Customers get to decide & develop their own applications, run their own internal private clouds and leverage SaaS applications running on public clouds. Cloud promises real cost savings & agility to the customers. Traditionally, a deployed application was bound to a particular infrastructure until it is upgraded as a result it led to low efficiency. With Cloud enablers like virtualization & grid computing, applications can be dynamically deployed to the most suitable infrastructure at run time. The elastic aspect of cloud computing allows applications to scale & grow without needing traditional fork-lift upgrades.
The building blocks of cloud computing are rooted in hardware and software architectures that enable innovative infrastructure scaling and virtualization. Many data centers deploy these capabilities today. However, the next infrastructure innovations are around more dynamic provisioning and management in larger clusters both within and external to the conventional corporate data center.
Effective application development and maintenance is one of the foundations for efficient performance. At VGIPL, our expertise is supported by knowledge of a wide variety of applications and technologies. Our highly knowledgeable teams and experienced staff support more than 600 applications across more than 350 service lines and multiple business sectors.
All of the architectural and organizational considerations mentioned thus far generally apply to all implementations of a cloud infrastructure. As we focus on building the cloud, a number of models have been developed for deploying a cloud infrastructure namely, private clouds, public clouds & hybrid clouds.