Can your system withstand overload?
When the solution is scaled, how many cloud resources will it require?
Will the software remain operable in the long run?
What are the solution’s performance issues?
What is the maximum load possible?
Can the system sustain its everyday load?
Whether you develop websites, desktop solutions, or mobile applications, our QA team can help your software engineers ensure flawless performance of the developed product.
Providing software load performance testing services, we determine whether the system can cope with the expected target load for an extended period of time. For instance, we helped confirm that shoppable video platform could reliably handle up to 100,000 concurrent users, allowing ML-driven product recognition and interactive on-player purchase cards to function seamlessly without interruption.
We validate software effectiveness during processing power increase and architectural changes. For instance, we verified that a mobile casino game could seamlessly handle growing user loads on Android and iOS, using Google Cloud autoscaling to add server instances as demand rose, while providing recommendations on the number of instances required.
We evaluate software performance under extreme loads to identify the upper limits of its capacity. For example, we ensured that online store ran smoothly during peak sales events like Black Friday or Cyber Monday by detecting bottlenecks early and recommending optimizations, thus decreasing page load time by 30%.
We measure software productivity when storing and processing accumulating volumes of data. In particular, our QA specialists can validate that a banking system can reliably handle years of transaction history without slowing down queries or compromising data integrity.
We perform testing activities lasting for about 72 hours to evaluate the system’s operability under a mid-level load. To illustrate, we ran cloud-based pest control software continuously while simulating hundreds of concurrent users accessing services, updating sales records, and managing logistics and monitoring performance metrics in Grafana and CloudWatch to identify issues and recommend optimizations.
We verify performance under various software and hardware configurations. For instance, we tested a multinational news portal during its migration from a third-party system to an in-house framework, analyzing how the website responded to different server setups and scaling scenarios to ensure stable performance for readers across devices, regions, and subscription features.
Optimized page loading
Accurate caching
Reduced server response times
No heavy-weight elements
A one-off testing round validating if your system meets the requirements.
We identify performance issues and recommend solutions to them, working on our own or in cooperation with your team.
We detect as well as resolve performance bottlenecks to ensure high responsiveness and reliability of your software.
We keep gaining and sharing new knowledge at our proprietary QA Academy and stay innovative through our in-house R&D lab.
We apply the skills and knowledge generated in over 200 projects both for basic systems and the ones with complex business logic.
We adhere to the best Agile practices to ensure iterative deliverables and high-paced team collaboration.
We employ a variety of tools and methodologies to create befitting toolkits for specific testing needs.
Typical performance testing services include load tests to measure normal usage demands, stress tests to find breaking points, scalability tests to see how well the system scales up and down, and client-side checks to improve user-facing features’ performance. Each approach helps ensure your software stays high-performing and reliable.
Yes, since by detecting and resolving software performance issues early, you can avoid expensive fixes down the road. A well-tested system also reduces the risk of unexpected downtime or overpaying for cloud resources, which saves money in the long run.
Fast, stable software keeps users happy and helps you maintain your reputation as a software product provider. Performance testing helps ensure your system can handle real-world traffic, handle spikes, and avoid crashes or slowdowns, which makes it a key step to delivering a smooth, reliable software product.
Performance testing should begin at the onset of the software creation process rather than just prior to the solution’s launch. This allows for detection of processing delays, inefficient scripts, and architectural gaps while they are still easy and inexpensive to fix.
The span of a performance testing project depends on the system’s architecture, scale, and functionality. Preliminary setup and scoping are done quickly, but developing scripts, executing tests, and interpreting metrics take longer.
We evaluate response time, requests per second, CPU, memory, and disk space usage, error rate, virtual users, transactions per second, network, and many others. These insights are shared alongside expert analysis and recommendations, offering a clear view of software behavior in various scenarios and assisting with targeted improvements.
Sure. We use a distributed network of load agents to recreate traffic from different parts of the world, letting us evaluate the impact of distance on latency, speed, and system health, ensuring your software remains fast and reliable for users everywhere.
We run spike tests, stress tests, and burst scenarios to replicate rapid surges or inconsistent usage habits. Our specialists also examine past or projected activity logs (when possible) to simulate close-to-life traffic swings and track how the software scales and stabilizes.
Client-side performance testing focuses on evaluating how software behaves on a person’s devices, whereas standard performance verifications measure server and API efficiency under load. Specifically, this type of testing gauges page load time, rendering speed, resource loading, and responsiveness, while standard performance testing focuses on server response times, throughput, and system scalability.
We leverage dedicated test beds or staging areas that mimic the live production environment. This allows for recreating realistic usage patterns without interfering with your current users. If we need to test in the production environment, we use limited traffic, off-peak scheduling, and continuous monitoring to keep the risks low.