What we do
Load Testing
Validate that your system meets response-time and throughput targets under expected production load, modelled from real traffic patterns.
→ Load TestingStress Testing
Push beyond expected peaks to find the breaking point, observe failure modes, and verify graceful degradation and recovery.
→ Stress TestingSoak Testing
Sustained-load endurance runs that expose memory leaks, connection-pool exhaustion, and slow resource degradation over hours or days.
→ Soak TestingSpike Testing
Simulate sudden traffic surges — marketing campaigns, ticket releases, breaking news — and measure how fast your platform absorbs them.
→ Spike TestingScalability Testing
Measure how capacity grows as you add resources, validate auto-scaling policies, and find the point of diminishing returns.
→ Scalability TestingKnowledge Base
Deep technical references on performance metrics, queueing theory, common bottlenecks and CI/CD integration — written by practitioners.
→ Knowledge BaseWhy teams engage us
Evidence, not opinion
Every engagement produces quantified results: throughput ceilings, latency percentiles, saturation points and capacity headroom — with the raw data to back them.
Tool-agnostic & independent
We work with JMeter, k6, Gatling and cloud-native load generation. We recommend what fits your stack and budget, not what we resell.
Engineering-grade methodology
A disciplined five-phase approach from workload modelling through to root-cause analysis. Repeatable, auditable, and documented.