® 
Can your application handle
the traffic?
A Load Test simulates realistic user load on your application and measures performance: response times, throughput, error rates and resource utilisation. Find bottlenecks before they affect your users.
What is a Load Test?
A Load Test simulates realistic user behaviour at expected and peak traffic levels to measure application performance. The team designs scenarios based on your actual usage patterns, including full user journeys. The results show where bottlenecks are: slow database queries, CPU-limited application servers, third-party integrations that degrade under load.
Find bottlenecks before your users do
The team designs test scenarios based on your expected usage patterns. Normal traffic, peak hours, marketing campaigns, seasonal peaks: each scenario is simulated with realistic user behaviour. Not just page loads, but complete user journeys: login, search, checkout, payment.
The results show where the bottlenecks are: database queries that slow down under load, application servers reaching CPU limits, third-party integrations that degrade. With this information, your team can optimise where it matters most.
Load tests can be integrated into your CI/CD pipeline so performance regressions are caught before they reach production.
Performance failures happen at the worst possible moment
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Marketing campaigns bring unexpected traffic spikes
The moment your campaign goes live and generates the traffic you hoped for is exactly when performance problems become visible. Load testing before the campaign eliminates this risk.
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Development optimises for single users, not concurrent load
Application behaviour under a single user is very different from behaviour under thousands of concurrent users. Race conditions, locking issues and connection pool problems only appear under concurrent load.
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SLA violations are expensive and reputationally damaging
If your application cannot meet its performance SLA under real traffic conditions, you face financial penalties and reputational damage. Load testing validates SLA compliance before commitments are made.
What we measure
How we run a load test
Scoping
Target application, expected load levels, peak scenarios and success criteria. Defining what good performance looks like.
Scenario design
Realistic user journeys and load profiles. Representative scenarios that reflect actual production usage patterns.
Test environment
Validation of the test environment, baseline measurement. Ensuring the test environment is representative of production.
Execution
Stepwise build-up of load with continuous monitoring. Multiple scenarios run at different load levels.
Analysis
Identification of bottlenecks and performance limits. Root cause analysis for each degradation observed.
Reporting
Report with results per scenario, bottleneck analysis, capacity recommendations and optimisation advice.
Deliverables
- Load test report with results per scenario
- Performance graphs (response time, throughput, errors)
- Bottleneck analysis
- Capacity recommendations
- Optimisation recommendations
Who needs a load test
E-commerce companies before peak periods
Black Friday, Christmas, promotional campaigns. Validate that your platform handles the traffic you are hoping for.
SaaS companies validating growth scenarios
Before onboarding a large customer or running a growth campaign, validate that your infrastructure scales.
Organisations launching a new application or major update
Before going live, validate that the application performs as expected under realistic load conditions.
Companies with SLA performance guarantees
Load testing validates that your application can meet SLA commitments under the contracted load conditions.
FAQ
How many virtual users can you simulate?
Do you also test from different locations?
How do I determine the right load level?
Can this be automated in our CI/CD pipeline?
What if the test shows we cannot handle expected load?
Know your application's performance limits
before users do.
Request a load test. Find bottlenecks, fix them before launch, and serve every user with confidence.