Performance Testing

Find out how your application behaves under real load before launch day, a marketing push, or peak traffic finds out for you.

Load Testing Stress Testing Scalability Testing Bottleneck Analysis Real-World Traffic Simulation
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QA
Overview

What Our Performance Testing Team Delivers

An application that runs fine with ten users in staging can fall over completely with ten thousand in production, and the gap between those two numbers is usually where the real risk lives. Performance testing simulates realistic and extreme traffic conditions so you find bottlenecks on a testing schedule, not during your busiest day.

We run performance testing for iGaming platforms where match-day or tournament traffic spikes hard and fast, FinTech systems where transaction processing under load has to stay both fast and accurate, and Healthcare platforms where system slowdowns affect real patient-facing operations. We test load handling, stress limits, and long-duration stability, then trace slowdowns back to their actual cause: a database query, an unoptimized API call, or an under-provisioned server, instead of just reporting that things got slow.

Results come with concrete numbers: response times under load, breaking points, and resource usage, plus specific recommendations your engineering team can act on directly.

When this service helps most

  • Anticipating a traffic spike from a launch, campaign, or seasonal event
  • Users are reporting slowdowns but the cause isn't obvious
  • Planning infrastructure scaling and want data before committing budget
  • Preparing for peak-load events such as tournaments, sales, or high-traffic periods
Key Capabilities
Load testing under expected and peak traffic conditions
Stress testing to find the actual breaking point
Scalability testing across infrastructure configurations
Endurance and soak testing for long-running stability
Bottleneck identification across database, API, and infrastructure
Clear reporting with response times and actionable fixes
How We Work

Our Performance Testing Process

01
Performance Goals & Scope Definition
02
Test Environment Setup
03
Test Scenario Design
04
Load & Stress Test Execution
05
Bottleneck Analysis
06
Reporting & Recommendations
07
Retesting Post-Fix
Tech We Use

Technology Stack

JMeter
k6
Gatling
JMeter
k6
Gatling
New Relic
Grafana
AWS / Azure Load Testing
New Relic
Grafana
AWS / Azure Load Testing
Flexible Engagements

Choose the Right Delivery Model

We keep engagement models flexible so you can start small, move fast, or scale a dedicated QA team when the roadmap grows.

01

Fixed Price

Best For: Well-defined projects

Clear scope, fixed budget, defined milestones. Perfect for MVPs and Phase 1 builds.

Clear milestones & budgets
Defined requirements upfront
Ideal for MVPs and POCs
No surprise invoices
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02

Time & Material

Best For: Evolving requirements

Agile-first approach where you pay for actual hours worked. Maximum flexibility.

Agile-first approach
Pay for actual hours worked
Scale team up or down
Weekly progress reports
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03

Dedicated Team

Best For: Long-term product dev

Fully embedded engineers, daily standups, and CTO-level technical oversight.

Full-time dedicated engineers
Daily standups & demos
CTO-level oversight
Transparent monthly billing
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Common Questions

Frequently Asked Questions

Straight answers about QA scope, coverage, and release support.

We base test scenarios on your actual or projected traffic, including expected peak events, so results reflect conditions your system will realistically face.
We trace it to the root cause, such as a slow query, an inefficient API call, or infrastructure limits, and provide specific, actionable recommendations rather than just an "it is slow" report.
Yes, this is one of the most common reasons teams reach out: testing ahead of a launch, campaign, or seasonal traffic spike so surprises happen in testing, not production.
Ready to Test?

Ready to Know How Your App Handles Real Traffic?

Tell us what's coming: a launch, a campaign, a peak season. We'll test for it now.