We deliver robust Load and Performance Testing solutions that simulate real-world traffic, uncover bottlenecks, and optimize application behavior — empowering you to scale with confidence and release without surprises.
Load and performance testing are essential to understanding how your application behaves under stress. We simulate real-world traffic to evaluate system response times, throughput, and resource usage. By identifying performance bottlenecks and scalability limits, STG helps ensure your software delivers a smooth user experience, even during peak usage.
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Realistic Load Scenarios
Using Apache JMeter, LoadRunner, and NeoLoad, we simulate real-user traffic conditions across geographies and usage levels.
Scalability Testing
We identify how your system behaves as the user count increases and highlight thresholds that require infrastructure scaling.
Bottleneck Diagnosis
Our tests expose performance bottlenecks in backend APIs, DB queries, and application logic through deep diagnostic tools.
Stress and Spike Testing
Pushing your application to extreme loads ensures preparedness for sudden usage spikes and detects breaking points.
Performance Reporting
Our reports provide response time, throughput, memory, and CPU usage charts to guide optimization strategies.
Stakeholder Collaboration
We begin with deep dives into your user load expectations, workflows, and business objectives.
Environment Replication
Our test lab mirrors your production environment — hardware, software, and network — for realistic testing.
Scenario Design
Custom load scenarios emulate actual user activity — from simple browsing to peak-hour concurrent transactions.
Execution & Monitoring
Using JMeter, we run simulations and monitor resource utilization, bottlenecks, and error rates in real time.
Analysis & Reporting
We deliver detailed test reports, complete with actionable insights to optimize performance and prepare for scale.
Up to 100,000+virtual users across global locations
Reduced page load time by 40%through targeted fixes
Cut time-to-market by 25%through early issue detection.
Avoided $120K+ in potential production downtime through proactive stress testing.
100% of critical paths and workflows tested under peak conditions
Not all users access your app over fast connections. We throttle network speeds to simulate 3G, 4G, and high-latency environments. This ensures your application performs reliably even under slow or inconsistent networks—a key aspect of global readiness.
Repeated performance tests help expose memory leaks that slowly degrade system performance. By running prolonged soak tests and tracking memory usage over time, we uncover leaks that could crash systems during long-term use or high-stress situations.
We test how well your load balancers distribute traffic and whether failover mechanisms kick in under failure conditions. This ensures consistent performance and availability even when parts of your infrastructure are down or overwhelmed.
Not all traffic spikes are random. We simulate time-based patterns such as login surges at 9 AM or flash sales at midnight. These patterns reveal time-sensitive bottlenecks, helping you allocate resources efficiently when they're needed most.
Performance isn’t just about the backend. We simulate mobile access on different devices and OS versions, monitoring front-end performance, responsiveness, and load times. This ensures a consistent and optimized experience for your increasingly mobile user base.
Before any optimization begins, establishing a baseline helps you measure improvements accurately. It involves capturing initial performance metrics under standard load. This data becomes your performance yardstick, ensuring every future enhancement can be validated and objectively measured, avoiding guesswork and subjective interpretation.
Many performance issues arise not from concurrent users, but from growing databases or bloated files. We simulate heavy data scenarios—like millions of records or high transaction logs—to see how your system behaves at scale. It ensures long-term resilience beyond just user concurrency.
Modern applications often rely on APIs, CDNs, or payment gateways. If any external service slows down, your performance suffers. We monitor these dependencies during tests, identifying which third-party services introduce lag, enabling you to mitigate risks or consider fallbacks.
We examine how effectively your system leverages caching, both on the client and server sides. Good caching reduces load and improves speed. By toggling cache states during testing, we assess true performance under fresh and cached scenarios to ensure consistent behavior.
Rather than just simulating raw load, we program varied concurrent user behaviors—like browsing, searching, and checking out—to mimic real usage. This reveals hidden bottlenecks caused by asynchronous actions or session-specific lags that uniform load tests might miss.
Let’s create a solution that accelerates your success.