We test the performance and scalability of your applications under realistic load conditions. We identify bottlenecks and performance problems before they occur. We use simulations to help optimise your systems and ensure that they function reliably even under high user loads.
The challenge
Many companies test with unrealistic user behaviour or synthetic data. Real user paths are often much more complex and diverse. If realistic user behaviour is not taken into account, companies run the risk of performance problems becoming apparent too late - often with high economic damage.
Often only average scenarios are considered in the load test. Studies and practical cases show that Black Friday, product launches or seasonal events repeatedly lead to unexpected load peaks that classic test scenarios do not cover. If failures or significant performance losses then occur, there is a risk of loss of sales and, in the worst case, damage to image.
Even minor delays in page loading have a massive impact on business success and conversion rates.
If load tests are not carried out at all, vulnerabilities remain unrecognised. The risk: unexpected outages, massive performance problems and serious security vulnerabilities. In addition to direct financial losses, companies suffer from loss of image and customer churn.
*Source: Google study "The Need for mobile Speed"
Only with realistic, comprehensive load and performance tests can the actual risks and weaknesses be uncovered. Companies that specifically test for live scenarios, exceptional loads and real usage data minimise failures, increase customer satisfaction and ultimately secure their business success in the long term.
Key features
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Individual test design
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Professional test execution
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Detailed results reports
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Comprehensive support
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Reproducible test
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Cause and performance analyses (optional)
Your benefit
No need for your own test tools
Reduced downtime and errors
Better performance even during peak periods such as Black Friday
Scalable tests for real load peaks
End-to-end service possible
Loadtest as a Service is made for ...
Public administrations and government services
During major events or the introduction of new services, online portals must remain reliable and performant in order to provide citizens with easy access to important services.
Airlines and travel portals
During periods of high booking volumes, special promotions or last-minute flight schedule changes, booking platforms and check-in systems must run smoothly to ensure a seamless customer experience and operational processes.
Fintechs and banks
Whether for payment transactions, stock exchange trading or online banking, systems in the financial sector must remain absolutely stable and respond quickly even during peak loads such as year-end settlements or market volatility in order to ensure trust and customer satisfaction.
Healthcare and medical platforms
Digital healthcare solutions such as patient portals or appointment booking systems must be absolutely reliable and performant, especially during peak times, to ensure smooth care and secure data exchange.
FAQs
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If you want the complete service, our service includes the planning, implementation and evaluation of load tests. We work with you to define realistic test scenarios, select suitable tools and provide clear documentation and specific optimisation recommendations.
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Yes, you can add additional load scenarios, user profiles or higher load levels at any time. Recurring load tests are also possible without any problems.
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Our load tests are flexible and support all common web applications, interfaces and protocols. We customise the tests to your individual system landscape.
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A load test is recommended before major releases, system changes, marketing campaigns or seasonal load peaks - whenever you expect increased user traffic.
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We recommend carrying out load tests regularly - for example before every major release or in the event of significant system changes - to ensure stable performance in the long term.
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You will receive a clearly structured report from us with all the key figures, identified bottlenecks and specific recommendations for optimisation.