Performance & Reliability Testing

The problem

Functional correctness doesn’t guarantee your system behaves the same way under load. Response times can degrade, resources can bottleneck, and failures can cascade once real traffic hits - often at the worst possible moment, like a launch or a traffic spike. Without performance testing, capacity issues are usually discovered in production.

What’s at risk without it

• Slow response times under peak or unexpected load
• Bottlenecks in application, database, or infrastructure layers going unnoticed
• No documented baseline to measure future changes against
• Failures under load that don’t reproduce under normal testing conditions

What we test

• Response time, throughput, and transaction rates under target load
• System capacity and breaking points (load, stress, and spike scenarios)
• End-to-end timing of critical, time-sensitive business processes
• Server, application, and database behavior under sustained load
• Recovery behavior after a load-induced failure

Our approach

We start by defining the business transactions that actually matter - the flows your users depend on - and build load scenarios around them rather than generic synthetic traffic. Tests are run against target and stress-level load, with monitoring across the application, server, and database layers to isolate exactly where a bottleneck originates, not just that one exists.

1. Identify critical business transactions and define performance goals
2. Script realistic load scenarios for those transactions
3. Execute load, stress, and spike tests against target environments
4. Monitor servers, application, and database throughout execution
5. Analyze results to isolate bottlenecks and their root cause
6. Deliver a performance report comparing results against goals

Deliverables

• Performance test scripts for defined business transactions
• Load, stress, and spike test execution reports
• Bottleneck analysis with client-side and server-side metrics
• Recommendations prioritized by impact

Suitable for

Products preparing for a launch, marketing push, or seasonal traffic spike, and any team that needs a documented performance baseline before or after significant architecture changes.

FAQs

What’s the difference between load, stress, and spike testing?

Load testing measures behavior at expected traffic levels. Stress testing pushes beyond that to find the breaking point. Spike testing checks how the system handles a sudden, sharp increase in traffic rather than a gradual ramp-up.

Do you test our production environment or a staging environment?

Typically a staging or dedicated performance environment that mirrors production, to avoid impacting real users - we’ll agree the right environment with your team before testing begins.

What do we get if you find a bottleneck?

A performance report identifying where the bottleneck occurs (application, database, or infrastructure), the supporting metrics, and prioritized recommendations - root-cause remediation is typically handled by your engineering team, with us available to re-test after fixes.