Load and Stress Testing
Your system might work perfectly with 100 users—but what happens when 10,000 show up at once? Our load and stress testing services simulate real-world and extreme conditions to reveal how your applications behave under pressure.
We help you uncover hidden bottlenecks, verify scalability, and prepare for peak traffic. Whether you're launching a new product or tightening up a critical API, our performance testing ensures you’re ready for the real world—before your users find the cracks.
Tools We Use For Testing
What We Test
Make the most of TestUnity’s software testing services to provide an impeccable experience to your users
Why Choose Us for Load & Stress Testing?
- Experts in JMeter, Gatling, Locust, and K6 for high-fidelity simulations.
- Tailored test plans based on your app’s tech stack, user flows, and expected traffic.
- Actionable reports with load curves, failure points, and tuning recommendations.
- Experience with cloud-native systems, microservices, APIs, and monoliths.
- Proven track record improving response time and site reliability under pressure.
Our Case Studies
FAQs
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What’s the difference between load testing and stress testing?
Load testing measures how well your system handles expected traffic. Stress testing pushes the system beyond limits to find failure points and assess recovery behavior.
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When should I run performance tests?
Before major launches, after feature rollouts, or when user volume increases. Continuous performance testing is ideal for high-growth or high-availability systems.
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Do you test APIs and databases too?
Yes. We simulate concurrent API hits, DB queries, and backend operations to identify backend-related slowdowns and resource limits.
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What deliverables will I get?
You receive detailed reports including response times, error rates, throughput, system bottlenecks, and clear tuning recommendations.
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Can you help us fix what you find?
Absolutely. We don’t just test—we help you optimize. From refactoring queries to tuning load balancers, we support post-audit remediation.
Latest QA Blogs
Software Testing Types: The Ultimate Cheat Sheet with Real Examples
Navigating the world of software testing can feel like learning a new language. With dozens of methodologies, techniques, and specialized terms, teams often struggle to answer fundamental questions: Which test should we run? When should we run it? What value does it actually deliver? This confusion can lead to critical gaps in quality, wasted effort on redundant […]
Chaos Testing Guide: Build Resilient Systems Through Failure
In the architecture of modern software—a sprawling ecosystem of microservices, cloud dependencies, and distributed databases—failure is not a question of “if” but “when.” Networks partition, third-party APIs throttle, data centers experience outages, and new code deployments introduce unexpected side effects. Traditional reliability testing, which often assumes a controlled, predictable environment, is inadequate for this reality. It […]


















































