Virtualization and Cloud

The underpinning for any high-performing clouds is a virtualized infrastructure. Virtualization has been in data centers for several years as a successful IT strategy for consolidating servers and pool infrastructure resources. This strategy has successfully extended to storage and networks. Virtualization provides the basic building blocks for your cloud environment to enhance agility and flexibility. Results from a Gartner survey shows a progressive increase in virtualization to about 90% in 2017. This explosive growth makes cloud computing an obvious next step for many organizations.
Due to existing infrastructure and personnel investments, most organizations have a private cloud strategy, where bursting to a public cloud is initially as a means to expand available capacity for the short term. Some organizations chose to have a separate private and public cloud strategies where they use the public cloud for customer facing applications that need the ability to scale-up and scale-down rapidly on a seasonal basis.

Digital disruption has required businesses to experiment with diverse models. So, IT must provide agility while leveraging existing legacy infrastructure to prepare for transformation. Keeping your businesses continuously available and delivering intelligent, personalized experiences requires powerful digital infrastructure and cloud services.

QSolv has extensive expertise developing cloud offering with some of the following key characteristics.

• On-demand self-service – Users can automatically provision their own computing resources as needed and without requiring human intervention, typically through an interactive portal that enables them to configure and manage these services themselves.
• Broad network access – Resources are available via the network and can be accessed by multiple devices, including smart phones, tablets, laptops, and desktops.
• Rapid elasticity – Resources can be quickly and transparently expanded or contracted depending on demand. Scaling is automatic to users, and provisioning what they need is transparent.
• Measured service – Usage is measured and can be monitored, controlled, and reported for transparency.
• Location-transparent resource pooling for multiple tenants – Compute, storage, and networking resources are pooled to serve multiple user groups (tenants) with different physical and virtual resources that can be dynamically assigned and reassigned according to user demand. Because users generally have no control of the exact location of the resources, there is a sense of location independence, although location may be specified at a higher level abstraction (country, state, data center).