Leaders trust OpenText
Meet our industry-leading cloud performance testing solution
Massive-scale cloud load testing
Simulate over 5 million virtual users in minutes to test performance under real-world load. Distribute traffic across 40+ cloud regions with Amazon Web Services, Microsoft® Azure, Google Cloud Platform™, or run hybrid tests with on-premises load generators. No bottlenecks, no complex setup.
Real-time predictive analytics
Get instant visibility into performance with real-time metrics and predictive analytics. Spot anomalies early, pinpoint bottlenecks, and understand how your app behaves under any load.
Built for fast-moving dev and QA teams
Design and run load tests in minutes—no complex setup required. Empower developers, QA, and PMs to test performance early and often with a cloud-native solution. Get instant insights with smart reports and dashboards.
Why choose OpenText Core Performance Engineering?
Optimize user experience
Detect and fix issues early with shift-left testing for smoother app performance and customer satisfaction.
"OpenText Core Performance Engineering is truly exceptional—no other product comes close."
"OpenText Core Performance Engineering reporting is second to none. Within dashboards we can easily create global filters that are then applied across all graphs, adding metrics, and splitting individual views into further graphs."
"With OpenText Core Performance Engineering, we're saving at least 30% in performance testing time"
"… the chosen global cloud solution is giving us improved flexibility, scalability, and maintainability benefits. Tool licenses and optimizations in LG machines also realized an annual cost savings of £60,000, as part of the OpenText Core Performance Engineering implementation."
"We are 100% Agile and one of the key benefits of using OpenText Core Performance Engineering is that we can automate both testing and result generation. We are able to save time through automation and that leaves us free to concentrate on other areas."
Everything you need in one place
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