-- Eliminates infrastructure constraints: cloud-based services allow
companies to dynamically scale virtual environments quickly and cost-
effectively based on business demand.
-- Turns upfront Cap-Ex into Op-Ex: Cloud services provide the same
powerful computing resources without the large upfront investment.
Additionally, usage is billed hourly, enabling organizations to pay for
what they use without investing in unused capacity.
-- Brings software to market faster: Development organizations can
support critical business initiatives by delivering applications faster
using the cloud. A virtual lab enables development and testing environments
to be provisioned immediately and built-in collaboration tools cut
unproductive cycle time, resulting in shortened delivery schedules.
-- Applications run unchanged in a virtual lab: Companies do not need to
modify or rewrite applications for the cloud using a virtual lab, so they
can use cloud resources as an extension of their onsite environments.
-- Enables global team collaboration with a shared virtual data center:
Developers and testers can collaborate and resolve problems on the same
virtual machines in real time over the Web. Furthermore, by using the
cloud, the problem of sharing large virtual machines between different
geographically dispersed teams is eliminated.
-- Accelerates provisioning time with a self-service model: Today, a
typical quality assurance (QA) team spends more than 40 percent of their
time provisioning environments. A cloud-based virtual lab automation
solution provides a self-service Web portal so development and QA
professionals can deploy environments without involving an IT
administrator.
-- Increases software quality and predictability: Development and QA
teams can achieve more test coverage and produce higher quality software
using virtual lab automation. IT environments in the cloud can be suspended
at the point of failure, allowing testers to 'check in' the virtual machine
configuration to a shared library. Developers can then debug the issue by
launching the saved configuration and eliminate hours spent trying to
replicate a defect.
-- Reduces server sprawl: Cloud-based virtual labs have an easy-to-manage
configuration library that helps enterprises manage, track and deploy
virtual machines while eliminating underutilized physical hardware.
-- Creates pre-production 'sandboxes' to test the impact of production
changes: The cloud allows IT operations to cost-effectively maintain a pre-
production environment where changes can be tested before production
deployment.
-- Allows IT operations teams to focus on production uptime: Cloud-based
virtual labs eliminate set-up and tear-down time, allowing IT operations
teams to focus work on production systems rather than spending cycles on
lab environments.
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