## **Can Leapwork Go test multiple enterprise systems simultaneously (e.g., SAP, OMS, TMS, WMS) under real-world conditions?**

Yes. Leapwork Go 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 Go 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 Go can simulate high traffic volumes and complex conditions, supporting load, stress, and endurance testing across distributed environments.

## **How does Leapwork Go scale under heavy, combined load scenarios?**

Leapwork Go 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 Go 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 Go helps create a more complete end-to-end view showing not just what is slow, but where and why.