Service Virtualization Eliminates the Obstacles that Slow Product Cycle Time
Unavailable and dependent systems due to hardware limitations, maintenance windows, access restrictions, missing code, and more — all create significant constraints for delivery teams.
Service Virtualization models software environments and resources during application development and testing to eliminate a lot of these constraints. According to a recent Gartner survey of companies with more than 500 employees that deployed Service Virtualization: over 25% doubled test execution rates, over 33% cut test cycle times in half, and almost half reduced defects by at least 40%.
However, as with any innovation, implementing Service Virtualization has challenges, e.g., incompatibility of 3rd-party components, API Management, training requirements, storage and memory constraints, failure notification, and recoverability that need to be resolved quickly and efficiently.