Find Your Breaking Point
Before Your Users Do
Load tests that simulate real traffic profiles. API tests that catch contract failures before they reach production. Both designed to give you data you can act on — not just graphs that look impressive.
Every Kind of Load Test You Need
Different scenarios require different test types. We match the test to the question you're actually asking.
Load Testing
Load testing evaluates how your application performs under expected user traffic and normal peak usage conditions. By simulating realistic user concurrency levels, we measure key performance indicators such as response time, system throughput, and error rates. This process ensures that your platform can maintain consistent performance while meeting defined service level agreements and delivering a reliable experience for users during daily operations and high traffic periods.
Stress Testing
Stress testing intentionally pushes the system beyond its expected operating limits to determine how it behaves under extreme conditions. By increasing traffic beyond normal capacity, we identify system breaking points, bottlenecks, and failure patterns. This testing approach helps teams understand whether the application degrades gracefully, recovers effectively, and maintains data integrity even when the system is under excessive pressure.
Spike Testing
Spike testing simulates sudden and extreme increases in user traffic that can occur during events such as product launches, marketing campaigns, or flash sales. We evaluate how quickly the system responds to these rapid changes in load and whether it can stabilise once the traffic surge subsides. This type of performance testing ensures that applications remain resilient during unpredictable traffic spikes.
Soak / Endurance Testing
Soak testing, also known as endurance testing, evaluates system stability over extended periods of sustained load. By running performance tests continuously for hours or even days, we identify issues such as memory leaks, database connection exhaustion, and gradual performance degradation. This approach ensures that long running applications remain stable, responsive, and reliable over time.
Scalability Testing
Scalability testing measures how efficiently an application handles increasing levels of user activity and system demand. By gradually increasing the load, we identify the point where system performance begins to degrade and determine whether infrastructure resources scale effectively. These insights help organisations plan for growth, optimise infrastructure, and ensure that their systems can support increasing user demand.
Performance Benchmarking
Performance benchmarking establishes a measurable baseline for system speed, stability, and efficiency. By recording key performance metrics such as response time, throughput, and resource usage, we create a benchmark that future releases can be compared against. This allows teams to quickly identify performance regressions, maintain consistent application quality, and ensure that system improvements deliver measurable results.
Catch API Failures Before They Reach Your Users
APIs break in ways that UI tests can't see. Contract failures, schema drift, edge case inputs — we test the layer that everything depends on.
Contract Testing
Verifies that APIs honour their documented contract — correct status codes, response schemas, error shapes, and header values. Catches breaking changes before consumers are affected.
Integration & Service Layer Testing
Tests API endpoints in isolation and in combination with dependent services. Validates data flows, transformation logic, and error propagation through your service layer.
Edge Case & Negative Testing
Malformed payloads, missing required fields, oversized inputs, special characters, and boundary values. APIs often handle the happy path well — it's the edges that break in production.
API Regression Automation
Postman collections and REST Assured suites wired into your CI/CD pipeline — running on every deploy so API regressions are caught automatically, not in production.
Data-Driven Results,
Not Just Reports
Every engagement produces clear, actionable findings — bottlenecks identified, thresholds quantified, and specific recommendations for remediation. Not just graphs. Answers.
- Test plan with scenario definitions
- k6 / JMeter scripts (handed over)
- Grafana / HTML results dashboard
- Bottleneck identification report
- SLA compliance summary
- Remediation recommendations
- Re-test after fixes (optional)
Tool Stack
How a Performance Engagement Works
Scoping
We define the test scenarios, user journeys, concurrency targets, SLA thresholds, and environment requirements with your team.
Script Development
Test scripts written in k6 JavaScript or JMeter, realistic user flows, parameterised data, and think-time built in for accuracy.
Execution & Analysis
Tests run against your staging environment with real-time monitoring. Results analysed for bottlenecks, SLA compliance, and failure modes.
Report & Handover
Detailed findings report with bottleneck identification, recommendations, and all test scripts handed over for your team to re-run.
Find Out Where Your System Breaks
Free 45-minute assessment — we'll define the right test scenarios for your architecture and traffic profile.
Book Free Assessment