Performance Testing

Know Your Limits.
Before Your Users Do.
AI-Powered Load Testing.

We stress-test your applications to breaking point — then optimize them to handle whatever you throw at them. AI-driven load modeling finds bottlenecks before they become outages.

Get a Free Assessment See How It Works
<100ms P95 Response Time
10,000+ Concurrent Users
<0.1% P99 Latency Spike
99.99% Uptime SLA
The AI Advantage

Smart Load Modeling, Predictive Bottleneck Detection

Traditional load testing runs static scripts. AI-powered testing adapts in real-time — modeling realistic user behavior, predicting failure modes before they happen, and surfacing optimization opportunities hidden in the data.

  • AI-driven traffic patterns mimic real user flows, not just synthetic load
  • Predictive bottleneck detection flags resource exhaustion before it crashes
  • Intelligent test generation creates scenarios based on production patterns
  • Automated performance regression detection across every deploy
AI-powered performance testing
What We Test

Comprehensive Performance Validation

From load testing to chaos engineering — we break it so your users don't.

⚡

Load Testing

Simulate thousands of concurrent users to validate your application handles expected traffic without degradation.

🔥

Stress Testing

Push your system past its limits to discover breaking points, resource exhaustion, and cascading failure modes.

🎯

API Performance

Validate endpoint latency, throughput, and error rates under realistic load. Catch slow queries before production.

🗄️

Database Tuning

Identify slow queries, missing indexes, and connection pool bottlenecks. Optimize for scale and speed.

💥

Chaos Engineering

Intentionally break components to validate resilience. Test circuit breakers, retries, and failover strategies.

📊

Performance Reporting

Detailed metrics, flame graphs, and recommendations. Know exactly where your bottlenecks are and how to fix them.

The Process

From Baseline to Breaking Point

01
Baseline

Baseline

We analyze production traffic patterns, establish current performance metrics, and design realistic test scenarios.

→
02
Test

Test & Break

Gradually ramp up load, stress edge cases, inject failures. AI models monitor behavior and flag anomalies in real-time.

→
03
Report

Report & Optimize

Detailed findings with flame graphs, bottleneck analysis, and prioritized recommendations. Re-test after fixes to validate improvement.

⏱ Typical timeline: 1–2 weeks for comprehensive testing

Technologies

Industry-Leading Testing Tools

We use the best tools for each use case — from open-source to enterprise-grade.

Load Testing

k6GatlingJMeterLocust

APM & Profiling

New RelicDatadogAppDynamicsDynatrace

Observability

GrafanaPrometheusELK StackSplunk

Chaos Engineering

Chaos MonkeyGremlinLitmusChaos

Ready to test your limits?

Let's baseline your current performance and design a comprehensive testing strategy.

Get a Free Assessment