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System stability, performance & scalability
Load & Performance Testing
Whether it’s an online shop, website, or mobile app – functionality alone isn’t enough. Systems must be reliably available, high-performing, and scalable at all times. With our load and performance tests, we identify capacity limits and ensure that your application remains robust and resilient – even under heavy concurrent usage, complex business processes, and growing demands.
Better performance, fewer downtimes: Why load & performance tests matter
High-performing systems are essential for delivering exceptional user experiences – and thus for customer satisfaction and business success.
Load and performance tests help ensure long-term system stability and efficient operations. They uncover performance bottlenecks before they become issues and provide the foundation for targeted optimizations. The result: low response times, minimal error rates, and scalable systems.
Four pillars of our load & performance testing services
In load and performance tests, we measure and analyze system behavior under various load scenarios. The focus lies on KPIs that are crucial for evaluating the performance and stability of infrastructure components – such as response times, error rates, and scalability.
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1
Load testing
We examine load limits and analyze whether your system can confidently handle the expected standard load during regular operation. This ensures that it performs smoothly even at its limits, delivering optimal performance under normal conditions and during high concurrency.
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2
Capacity testing
In capacity tests, we determine the maximum load your system can process to ensure it meets both current and future demands –positioning your online business for sustainable growth.
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3
Stress testing
Stress tests reveal how robust your system truly is. We simulate scenarios in which it is pushed beyond normal operating capacity to analyze its behavior under stress and assess its resilience. This also shows whether the system can automatically recover after an overload.
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4
Permanent testing
We test system stability over an extended period to detect issues such as memory leaks, data accumulation, or the negative impact of periodic background processes at an early stage.
Better performance, greater efficiency, constant stability
Benefits of load & performance tests
Operational reliability
By proactively identifying weaknesses early on, issues can be resolved quickly, system outages prevented, and performance drops avoided.
Scalability
Fast and effective adjustments to increasing loads and fluctuating requirements are crucial for growth and long-term success.
Performance & efficiency boost
Regular testing enables the derivation of concrete improvement measures – leading to measurably more efficient systems and optimal resource utilization.
Resilience
The system remains high-performing even under overload and stress, recovering automatically so operations can continue uninterrupted.
User-friendliness
A system that operates reliably within defined parameters is essential for satisfied users and customers.
What do valantic’s testing services include?
- Initial consultation, joint planning, and concept development
- Creation of load test scripts, including documentation
- Integration into the CI/CD environment
- Execution and evaluation of tests
- Preparation of a report with concrete recommendations for action
FAQ: Frequently asked questions about load & performance testing
- Companies with business-critical digital applications, e.g., online retailers, banks, and insurance providers
- Providers experiencing highly variable or growing user loads
- IT teams aiming to improve release quality and prevent system outages
- Organizations planning to build a scalable cloud infrastructure
To ensure valid and reliable results, performance tests should be executed on a representative environment that mirrors the production system but does not affect live business processes.
Running tests directly on the production system carries risks and can cause temporary negative effects such as performance degradation, application downtime, and associated costs.
Our performance tests typically require the following:
- Protection mechanisms such as DoS detection or bot filters (e.g., captchas) are deactivated or whitelisted for specific IP addresses during testing.
- The use cases to be tested include critical paths – usually the features and areas relevant to revenue generation.
- Together with the client, we define the relevant KPIs and target metrics. Based on this, we determine entry points and distribute expected traffic across key use cases.
To simulate these scenarios as realistically and dynamically as possible, it’s recommended that the client provides production-like test data –for example, typical search queries.
Our load and performance tests follow a hybrid approach. The results are based on response times, error rates, and the availability of individual URLs or use cases. We determine the maximum supported number of users while maintaining response times within the agreed range and prepare a report with concrete optimization recommendations.
Note: The calculated maximum number of users is only partially reliable, as it is based on a subset of use cases. This subset is generated using simulated user behavior data from historical analyses. Therefore, we recommend using the tests primarily for iterative system optimization and for resolving performance bottlenecks step by step.
For detailed internal analyses, we recommend using an Application Performance Monitoring (APM) tool such as Tideways (for PHP). Such tools enable continuous application monitoring and help identify bottlenecks more quickly.
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