Load & Performance Testing

Overview

Model real traffic, find the breaking point and pinpoint the bottleneck — with clear, prioritised tuning recommendations.

Knowing that your application "feels slow" is not actionable. Knowing that response time degrades past 400 concurrent users because a single unindexed query saturates the database connection pool is.

We model traffic on your actual usage patterns, run it against a production-like environment, and correlate response times with server, database and network metrics — so the output is a ranked list of specific bottlenecks and what to do about each one.

How we work

1. 1

   Workload modelling

   Peak concurrency, transaction mix, think times and data volumes agreed with you before scripting, so results reflect real usage.

2. 2

   Script development

   Parameterised, correlated scripts in JMeter, k6 or Gatling that replay genuine user journeys rather than a single URL hit.

3. 3

   Execution & monitoring

   Load, stress, spike, volume and endurance runs executed while CPU, memory, thread pools, query times and error rates are monitored.

4. 4

   Analysis & tuning advice

   Bottlenecks traced to a specific layer — code, query, configuration or infrastructure — with prioritised, concrete recommendations.