Run load, spike, stress, and endurance tests by reusing existing UI and API automations, with AI-assisted planning, execution, analysis, and reporting in UiPath Test Cloud.
Performance testing in Test Cloud reuses the UI and API automations your team already maintains, helping teams create realistic load, spike, stress, and endurance scenarios without starting from a separate performance scripting model.
Built from the UI and API automations your QA team already runs. Cover normal-to-peak load, burst traffic, breaking points, and sustained-load stability while reducing the need for custom performance scripting.
SPIKE
Validate how the application responds and recovers when traffic jumps unexpectedly, such as during a product launch, public-sector announcement, or peak sales event. Spike scenarios can reuse existing UI and API automations to simulate realistic user journeys under sudden load.
STRESS
Push the application beyond expected demand to identify risk areas before peak season. Test Cloud helps teams analyze thresholds, recovery behavior, and likely bottlenecks so engineering teams can act earlier.
ENDURANCE
Run longer-duration endurance tests to identify resource degradation and stability issues that may only appear under sustained load. Endurance scenarios can reuse the same UI and API automations used for functional regression.
Embed load, spike, stress, endurance, and scalability testing into CI/CD pipelines with defined thresholds, traceable results, and governed release gates.
Run performance tests early in development. No protocol-level scripting expertise required.
Run large-scale tests where data residency and infrastructure requirements need them.
Functional testing, test automation, test management, and performance testing work from shared automation assets in one governed environment.
ANALYST REPORT
The Forrester Wave™ for Autonomous Testing Platforms recognizes UiPath as a Leader. Read the press release for the evaluation summary.
See all QA and testing resources
Press release
Gartner recognized UiPath as a Leader in its first Magic Quadrant for AI-Augmented Software Testing Tools. Read the press release for the evaluation summary.
Press release
IDC recognized UiPath as a Leader in worldwide cloud testing. See the press release for the evaluation summary.
Analyst report
IDC examines what changes when AI agents take on test creation, execution support, and maintenance, and the impact on QA throughput.
Common questions about Test Cloud performance testing, load testing software, and continuous performance testing in CI/CD pipelines.
Application performance testing measures how an application behaves under load. It answers whether the application stays responsive, stable, and accurate as concurrent user demand changes. Modern application performance testing covers spike testing (sudden traffic surges), stress testing (load beyond expected demand), and endurance testing (sustained high load), and runs as a continuous quality gate in the delivery pipeline. UiPath Test Cloud handles all three test types using the user interface (UI) automations a team already maintains, with no separate load testing software required.
Dedicated load testing software, such as Apache JMeter, k6, or LoadRunner, requires a separate set of performance scripts, a separate scripting model, and a separate set of skills to maintain alongside functional tests. UiPath Test Cloud takes a different architectural approach: the same UI automations a team writes for functional testing become performance scenarios. There is no parallel test suite to maintain and no protocol-level scripting expertise required.
Spike testing validates how the application responds to sudden, short-duration surges in traffic, such as a product launch or a public announcement. Stress testing finds the load ceiling by pushing the application past expected demand until it fails, then measures recovery. Endurance testing runs the application under sustained load for hours or days to surface memory leaks, connection pool exhaustion, and resource degradation. Test Cloud runs all three from the same UI automations.
Yes. Continuous performance testing is a core design point of Test Cloud. Performance scenarios are pipeline-triggered, run in parallel, and report results back into the continuous integration and continuous delivery (CI/CD) toolchain. Teams adopting shift-left performance testing can catch bottlenecks during development rather than at the end of a release cycle.
Yes. Test Cloud runs large-scale performance scenarios on-premises or in the cloud, with full feature parity. This matters for regulated industries with data residency, security, or infrastructure requirements that prevent cloud-only performance testing tools from being used.
No. Test Cloud is designed for QA teams that need performance testing but do not have dedicated performance engineering specialists. Autopilot helps plan load scenarios, the same UI automations used in functional testing run as performance scenarios, and bottleneck analysis surfaces in Test Manager alongside functional test results. Protocol-level scripting expertise is not required.
Protocol-level load testing tools generate synthetic Hypertext Transfer Protocol (HTTP) traffic that mimics what an application receives from a browser. UI-based load simulation drives the application through the user interface, replicating how real users interact with it. UI-based simulation reports production-grade metrics for the full user experience, including UI rendering and client-side performance, which protocol-level traffic generation misses.
