Can Leapwork Performance test multiple enterprise systems simultaneously (e.g., SAP, OMS, TMS, WMS) under real-world conditions?
Yes. Leapwork Performance enables parallel testing across multiple enterprise systems by creating separate timelines and executing different application use cases simultaneously, helping replicate real-world operational environments.
Can it simulate mixed workloads (e.g., SAP reporting and transactional users at the same time, especially during peak periods like month-end)?
Yes. Mixed workloads are supported by configuring timelines with virtual users that represent different system behaviors. These can run concurrently, including peak scenarios such as month-end processing.
How well does it handle end-to-end scenarios across interconnected systems (e.g., POS, eCommerce, and backend systems running together)?
Leapwork Performance supports end-to-end testing across interconnected systems by executing API workflows spanning POS, eCommerce platforms, and backend services. Realism depends on how timelines and sequences are designed to reflect actual system interactions.
Can it accurately replicate high user traffic and complex, real-world stress conditions?
Yes. Using scalable virtual users, Leapwork Performance can simulate high traffic volumes and complex conditions, supporting load, stress, and endurance testing across distributed environments.
How does Leapwork Performance scale under heavy, combined load scenarios?
Leapwork Performance is built on a scalable architecture designed for large-scale load scenarios and can support up to 20,000 virtual users, depending on the licensed setup.
What level of performance visibility and insights does it provide?
Leapwork Performance provides visibility into API-driven workflows and backend transactions, including metrics such as average response time, p90/p95/p99, throughput, and error rates. It also includes AI-driven insights and baseline comparisons to help identify performance issues quickly. With integrations to tools like Datadog and Grafana, teams can correlate API-level data with logs, traces, and infrastructure metrics for deeper root cause analysis. Unlike many tools that offer siloed visibility, Leapwork Performance helps create a more complete end-to-end view showing not just what is slow, but where and why.