Performance tests: insight, control and growth
Make sure your application stays fast, stable and scalable, even under pressure.
Early testing = faster improvement
The earlier you test performance, the more problems you prevent. By integrating testing into the design or early development phase, you can identify bottlenecks before they affect production. This reduces repair costs, speeds up releases and improves overall quality. With our shift left approach and CI/CD integration, you can measure and optimize continuously without delaying delivery.
Realistic scenarios we test
Performance testing helps you understand how your application behaves under real-world conditions. From everyday usage to peak loads, long sessions and poor network connections, we show you how your system performs in terms of speed, stability and scalability. That’s how you reduce risk and boost performance where it matters most.
Normal use
We measure how fast and stable your application responds during regular use. This baseline helps identify deviations and performance issues when load levels rise.
Peak load
During high-traffic moments such as Black Friday, seasonal peaks or major campaigns, we simulate sudden surges in traffic. You gain certainty that your application remains fast, stable and reliable, even under maximum pressure.
Long-term use
Performance issues like memory leaks or gradual slowdowns often appear only after hours or days of continuous use. With extended tests, we verify that your software performs reliably under sustained and intensive load.
Concurrent processes
In a real-world environment, multiple processes run at the same time. We test how your application handles parallel operations, such as processing transactions while reports or batch jobs are running, without affecting response times.
Network latency
Users across the world experience different network speeds. We simulate high latency and slow connections to evaluate the impact on user experience and suggest improvements that enhance speed and stability for all locations.
Why organizations choose us
We combine deep technical expertise with sector-specific knowledge. Our experts understand not just the metrics but the business impact behind them. Using advanced tools and custom scripts, we tailor every test to your specific environment. We also integrate performance testing into your development and release process, providing continuous insight without slowing projects down.
Frequently asked questions about performance testing
Performance testing often raises technical and practical questions. When to start testing Which scenarios are most important? And how do you interpret the results? We answer the most frequently asked questions about measuring and improving application performance.
The sooner, the better. Ideally, you should start in the design phase or early development phase. Through a shift-left approach and integration into CI/CD, you can discover bottlenecks before they have an impact on production. This saves repair costs and speeds up your release process.
Load testing simulates normal to peak usage to see how your application performs under expected load. Stress testing goes further and tests to a higher level than the expected peak usage; if necessary, a break test can also be performed to discover where the limits of the system lie and when and how the system fails.
This depends on the test goal. Short tests may suffice for baseline measurements, but detecting memory leaks or loss of performance requires lengthy tests of hours to days. We tailor the duration to your specific risks.
We look at response time, throughput, CPU and memory usage, and error rates, among other things. More important is how we translate these technical figures into concrete impact: what does it mean for your users, processes and costs?
Yes, we offer continuous monitoring to track performance and trends. We identify anomalies such as performance deterioration or memory usage so that you can proactively make adjustments before problems arise.
We base tests on real user behavior, including concurrent processes, network latency, and unexpected surges. From Black Friday crowds to lengthy sessions - our scenarios reflect situations that really matter in practice.
System optimizations not only improve performance, but also reduce energy consumption and thus a CO₂ footprint. By using resources more efficiently, performance testing contributes to both better performance, lower energy costs and a lower CO₂ footprint.