Load Testing
Simulate high-traffic scenarios to test system robustness, throughput, and latency. Perfect for enterprise web applications and SaaS platforms.
Overview
Load testing validates that your application can handle expected traffic volumes while maintaining acceptable performance. This is critical for e-commerce sites during sales events, SaaS platforms during peak usage, and any application expecting growth.
We simulate thousands of concurrent users performing realistic actions to measure response times, throughput, and system stability. Our tests identify performance bottlenecks in application code, databases, APIs, and infrastructure.
Beyond just testing, we provide detailed analysis and recommendations for optimization, capacity planning, and infrastructure scaling to ensure your application is ready for peak traffic.
Key Benefits
Validate system scalability
Prevent downtime during peak usage
Optimize server and app performance
Use Cases
E-commerce peak load simulation
API throughput testing
Enterprise SaaS load validation
Technologies We Use
Frequently Asked Questions
How many users should we test for?
We base load testing on your expected traffic plus a safety margin. We analyze your current traffic, growth projections, and peak events (like Black Friday for e-commerce) to determine appropriate load levels. We typically test at 150-200% of expected peak load.
What metrics do you measure?
We measure response times (average, median, 95th percentile), throughput (requests per second), error rates, concurrent users, server CPU/memory/disk usage, database performance, and API latency. We provide detailed reports with graphs and analysis.
Can load testing break our application?
We use controlled load ramping and constant monitoring. If we detect issues, we can stop tests immediately. We prefer testing in staging environments, but can safely test production with proper precautions and rollback plans.
How do you simulate realistic user behavior?
We create test scenarios based on your analytics data, user flows, and business processes. We simulate realistic think times, different user types, geographic distribution, and varied actions to match real-world usage patterns.
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