Load testing
Performance and load tests use tools such as Apache JMeter and Gatling to simulate expected usage, record response behavior, and locate bottlenecks.
Performance testing
Performance testing
Performance and load tests use tools such as Apache JMeter and Gatling to simulate expected usage, record response behavior, and locate bottlenecks.
Evaluate long-term system sustainability with endurance (soak) testing. We subject your application to sustained loads for extended periods, uncovering potential performance degradation, memory leaks, and other performance-related issues.
Validate your system's ability to handle large data volumes with volume testing services that simulate high-data-volume scenarios. With tools like Apache JMeter and LoadRunner, we identify potential performance issues related to data processing and storage.
Capacity testing uses tools such as Apache JMeter and LoadRunner to observe system limits and the point at which behavior changes.
Configuration testing uses tools such as Apache JMeter and LoadRunner to compare application behavior under different settings.
Evaluating system recovery capabilities after failure scenarios in a test environment is important for building real-world performance applications. We simulate failure situations using tools like Apache JMeter and LoadRunner, to observe recovery, data integrity, and behavior after the failure.
Evaluate system resilience and robustness under extreme conditions with stress testing services. We subject your application to high-stress scenarios using tools like LoadRunner and Telerik Test Studio. We identify performance limits and support stability.
Spike testing uses tools such as Apache JMeter and LoadNinja to observe system behavior when activity changes sharply.
Test your application's scalability. We use tools like Locust and BlazeMeter to evaluate how well your system adapts to increasing user loads and greater resource demands. Our testing ensures your application can scale with business growth.
Establish a performance baseline for your application. We conduct initial performance assessments using tools like Apache JMeter and NeoLoad. Baseline testing provides a reference point for future testing and allows you to better monitor performance improvements.
Identify and resolve performance issues in isolation so they don't affect the performance of the rest of your application. Using tools like Gatling and Apache JMeter, we isolate specific components or modules of your solutions, evaluating their performance independently so we can identify and address potential bottlenecks.
Set performance objectives by outlining specific goals and expectations for system behavior under various conditions.
Create performance tests that simulate real-world user scenarios, accurately representing how users interact with the application under different conditions.
Determine and define relevant KPIs for the application to measure and evaluate performance.
Expand performance testing capabilities by choosing suitable tools based on project requirements, with attention to compatibility and effectiveness.
Share the context so we can assess scope, integrations, and next steps.
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