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LOAD & PERFORMANCE TESTING
Effortlessly reuse your existing SOAtest API tests for early load and performance testing. Reduce the cost of test environments with service virtualization.
Leverage SOAtest’s AI-driven workflows to generate API test scenarios. Codelessly extend them for distributed load and performance testing. Integrate execution and metrics reporting directly into CI/CD pipelines. Go beyond basic performance testing with SOAtest’s robust support for:
Performance testing often requires access to a complete system under test—yet full environments can be expensive, unavailable, or shared, making it difficult to test under real-world conditions.
Parasoft Virtualize addresses these challenges by enabling virtual services creation with different performance characteristics, simulating missing or costly components, and allowing teams to:
SOAtest and Virtualize enable teams to validate application performance at the API and system level. By combining codeless test reuse, distributed scalable load execution, and virtualized environments, teams simulate real-world conditions, detect bottlenecks early, and integrate results directly into CI/CD pipelines.
Repurpose existing SOAtest API and end-to-end tests for load and performance validation. This shift-left approach accelerates testing, reduces test maintenance, and ensures early performance validation.
Virtualize delivers a massively performant server that can infinitely scale with clustered load balancer support. This ensures your performance tests remain accurate and stable even under extreme load.
Run performance tests across multiple machines or locations to simulate real-world traffic. Control virtual user counts, hit rates, and load distribution to stress test applications under realistic conditions.
Virtualize lets teams simulate unavailable or costly components, including third-party services or incomplete systems. This enables early, configurable performance testing without waiting for full infrastructure availability or incurring high environment costs.
Configure test duration, user distributions, spike patterns, and stress levels for each scenario. Weighted and direct profiles allow teams to model complex usage patterns and evaluate system behavior under varied conditions.
Collect and correlate system performance and application metrics during load tests. Integrations with APM tools like AppDynamics and Dynatrace provide actionable insights to pinpoint bottlenecks and optimize performance.
Embed performance testing into your continuous integration pipeline. Automate test execution and track performance trends over time to catch performance degradation early.
Import JUnit or lightweight socket-based tests into Load Test to measure performance at the code level. This enables teams to perform earlier-stage load testing against specific parts of the application to validate the performance behavior of the code.