Verizon Business introduced an on-demand, cloud-based Computing as a Service (CaaS) solution -- designed to meet the stringent security and performance requirements of their enterprise customers.

This new offering helps businesses take advantage of cloud (IP-based) computing to more efficiently and securely manage IT computing resources -- server, network and storage -- to meet day-to-day business demands.

This CaaS solution, which leverages Verizon's global IP infrastructure and data centers, enables companies to use a Web-based portal to employ computing resources in the quantities and duration dictated by their own business needs.

As a result, businesses pay for the resources used and avoid having to build out for peak capacity requirements by buying new equipment and adding IT or networking staff.

Designed for mid-to-large-sized businesses, CaaS is ideal for new development projects, major events and migrations so that organization can easily and quickly shift IT resources as required.

Just-in-Time Computing Resources
It is also well suited for businesses with seasonal demands such as retailers, companies holding annual benefit enrollments or sales promotions that drive incremental traffic to Web sites. The service is immediately available in the U.S. and Europe, and then will be introduced to the Asia-Pacific region in August.

Verizon's Mike Marcellin explains in a video commentary some of the key features and benefits.

Melanie Posey, research director, hosting & telecom services at IDC said "Verizon has incorporated a number of key elements that make this solution a stand-out in the marketplace. The CaaS combination of flexibility, security, performance and resiliency is well positioned to serve certain enterprise requirements in a nimble, next-generation fashion."

Clearly, we can anticipate that the forward-looking managed and hosted service providers will continue to launch innovative new managed cloud service offerings that meet the selective IT out-tasking needs of their customers.

• Cloud Singularity & Evolutionary Computing