Buyer’s guide to performance testing with UiPath Test Cloud

Your software can work perfectly under normal conditions and still fail when demand increases. Learn how testing teams can find performance risks before slowdowns affect users, revenue, and critical business processes.

Traditional performance testing is often specialized, isolated from functional testing, and introduced too late in the release cycle. Teams rebuild scenarios in separate tools, depend on scarce expertise, and receive performance feedback when problems are already expensive to fix.

The result is a growing gap between software that works and software that continues to work under real-world pressure.

This buyer’s guide outlines what organizations should consider when evaluating a modern performance testing approach. It explores the capabilities that can help teams test realistic demand patterns, reduce reliance on isolated tools and specialist-only processes, and make performance insight a more continuous part of software testing.

What’s inside:

• The essential capabilities to consider when evaluating performance testing solutions

• The differences between load, spike, stress, endurance, and scalability testing

• Why reusing existing automated tests can reduce duplicate effort

• How AI-assisted approaches could support performance test planning, execution, and analysis

• Questions to ask about observability, CI/CD integration, deployment, governance, and security

• How to assess whether performance results can better inform release decisions