Global Test Cloud

SOASTA’s Global Test Cloud Platform leverages our partnerships with leading Cloud providers to deliver the most scalable, on-demand Web performance testing service available in the market today.

Built on Leading Cloud Provider Platforms

The Global Test Cloud enables companies of all sizes to simulate Web traffic and conditions for load and performance testing Web applications and consumer-facing websites by leveraging the elasticity and power of Cloud Computing. This platform enables cross-cloud testing from today’s leading cloud providers such as Amazon EC2, IBM, Microsoft Azure, Rackspace, GoGrid, CA/3Tera AppLogic, RadixCloud and Enomaly-delivering the most comprehensive and affordable global testing solution available.

Fully Automated Deployment Across Clouds

The CloudTest Grid, the only fully automated, cross-cloud provisioning capability, purpose-built for Performance Management, powers the SOASTA Global Test Cloud. The CloudTest Grid continues SOASTA’s success in reducing the cost, complexity and time to results for performance testing websites and applications, by allowing performance engineers to deploy hundreds, or even thousands of load servers around the globe in a matter of minutes.

Simulating the Real World

Companies concerned about variable and spiked Web traffic can easily simulate, under real-world conditions, changing volumes-whether it means millions of users in a short burst of time, or simultaneous users originating from New York, London, and Hong Kong all hitting the same application at the same time.

For many of SOASTA’s customers, the emulation of real world Web conditions from different geographies, different time zones, and at different levels of scale, has become increasingly important. Accurately measuring response time from various locations and balancing the load when using content data networks, such as Akamai or Amazon’s CloudFront, requires the generation of load to match, and often exceed, the expected activity on the site. Simulating real world traffic at scale ultimately builds confidence in performance.