01
Load Testing
Behaviour under expected, real-world user volume.
LIVE CAPACITY MODEL
Performance Testing Services
Load, stress, soak and spike testing that shows exactly how your system behaves under pressure — and where it will fail first.
THRESHOLD
Direct answer / 01
What is performance testing?
Performance testing measures how a software system behaves under load: how fast it responds, how many concurrent users it supports, where its bottlenecks sit and at what point it degrades or fails. It is an umbrella term covering load testing (expected traffic), stress testing (beyond capacity), soak testing (sustained duration) and spike testing (sudden surges). Together these tell you your real capacity ceiling, the component that limits it, and whether your infrastructure can absorb a launch, a campaign or a seasonal peak.
Benefits
Benefits of performance testing with HatoHub
Our performance testing service covers all aspects of system behaviour under varied conditions.
We conduct load testing to simulate typical user activity.
Stress testing helps identify system limits.
Soak testing ensures stability over extended periods.
Spike testing assesses response to sudden traffic surges.
Comprehensive analysis pinpoints bottlenecks and optimises infrastructure.
Ensures a consistently reliable user experience.
01 — Model
02 — Apply load
03 — Diagnose
Disciplines
Four kinds of pressure
02
Stress Testing
Where the system breaks, and how gracefully.
03
Soak Testing
Stability over hours and days of sustained use.
04
Spike Testing
Response to sudden, sharp surges in traffic.
Method
How we run a performance engagement
- 01
Model the load
We build a workload model from your analytics — real journeys, real ratios, real think times — instead of hammering one endpoint.
- 02
Set the targets
Response-time and throughput targets are agreed per journey, tied to business outcomes rather than arbitrary numbers.
- 03
Execute and observe
Tests run in k6, JMeter or Gatling against a production-like environment, with APM instrumentation capturing what happens inside.
- 04
Diagnose and retest
We identify the limiting component — query, connection pool, cache, third party — and verify the fix with the same scenario.
Tooling
Tools and observability
We run load generation in k6, Apache JMeter and Gatling, and read the system from the inside with your APM stack — Datadog, New Relic, Grafana or CloudWatch.
A performance test without server-side observability just tells you that something was slow. With it, you get the specific query, lock or pool exhaustion that caused it.
Continue exploring
Performance testing services
Useful answers
Questions,
clarified.
Performance testing measures how a system responds and behaves under load — response times, throughput, resource usage and stability — to establish capacity limits and locate bottlenecks before real users find them.
Load testing under expected traffic, stress testing beyond capacity to find the breaking point, soak testing over extended duration to expose leaks and degradation, and spike testing for sudden surges.
k6, Apache JMeter and Gatling for load generation, paired with your existing APM — Datadog, New Relic, Grafana or CloudWatch — for server-side diagnosis.
Usually we test a production-like staging environment with representative data volumes. Production testing is possible with careful scoping, traffic shadowing or off-peak windows when staging cannot be made realistic.
Before any launch, campaign or seasonal peak; after significant architectural change; and as a scheduled baseline each release cycle so gradual degradation is caught early.
A focused engagement on a defined set of journeys typically runs two to four weeks including scripting, execution, analysis and a retest after fixes.
Next signal
Turn uncertainty into a clear plan.
Tell us what you are building and where quality or design is slowing you down.
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