What we do
Traditional Load Testing
Validate that your system meets response-time and throughput targets under expected production load, modelled from real traffic patterns.
→ Load TestingEvent Oriented Load Testing
We can run production email workload, with various attachment profiles, to trigger complex workflows, and can measure interal system processing or even time to recieve email responses back at origin addresses. Such testing identifies queueing characteristics and reliability of processing email (or other message) workload spikes .
→ Event Oriented Load TestingStress Testing
Push beyond expected peaks to find the breaking point, observe failure modes, and verify graceful degradation and recovery.
→ Stress TestingBacklog Testing
Many complex systems involve queues that can build up during outages. Backlog testing re-creates such backlogs and measures the time taken to process such backlogs, and the impact of such procesing on performance of connected systems
→ Event Oriented 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 TestingFuture State Testing
Validate performance with database transactional record volumes set for a future state, such as one or two years into the future, to validate performance for a future state (when the solution is out of warranty).
→ Future State 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.
We use the best tools
We work OpenText Performance Engineering products, formally known as LoadRunner, but can develop custom testing harnessess with any technology.
Engineering-grade methodology
A disciplined five-phase approach from workload modelling through to root-cause analysis. Repeatable, auditable, and documented.