Deliver high-performing apps that surpass customer expectations using end-to-end performance engineering.
Deploy high-performing apps that surpass customer expectations using an integrated set of enterprise-grade performance engineering solutions, spanning developers to performance engineers, incorporating intelligent analytics, and supporting extensive integrations with DevOps and application performance monitoring (APM) tools. Engineer software quality early and into the end-user experience.
Confidently test the complex load, stress, and performance scenarios legacy, website, and mobile applications require using the widest range of protocols in the industry. Real-time, online and offline anomaly detection is achieved with superior analytics and reporting such as correlation analysis, performance trending, NV insights, and data mashing with other tools. Achieve better test accuracy by emulating real-world network conditions and eliminate bottlenecks and dependencies through quickly creating realistic simulations of APIs and virtual services.
Using shift-left performance testing through shift-right application performance monitoring, engineer quality and optimize performance at any point in the DevOps pipeline.
With support for more than 50 application protocols and technologies and over 52 scripting technologies, and integrating with open source CI/CD tools, continually engineer quality.
Use a shared and open architecture with a diverse ecosystem of tool integrations that supports continuous performance testing and asset reuse across any application type, protocol, and IDE.
Foster a cross-functional team of stakeholders – from developers to performance engineers – to seamlessly work together using the IDE and tools of choice, including open source and third- party.
Rapidly pinpoint root cause and decrease mean time to repair using smart analytics with real-time insights. Easily centralize, evaluate, and share results from development to production.
Share licenses between LoadRunner products and rapidly adjust consumption based on needs, including seasonal, ad hoc, and peak traffic demands.