We model load using actual operations and expected user counts. Normal demand, peak periods and behaviour beyond planned capacity are evaluated separately.
Application, database and infrastructure metrics help locate constraints. Results apply to the tested configuration and data; significant measurements are repeated after optimisation.
Load and performance testing
Who it is for
- Service owners preparing for audience growth or a major campaign
Load and performance testing
Challenges we address
- Unknown capacity limits and unexplained slowdowns
Load and performance testing
What is included
- Workload modelling and scenario generation
- Latency, error and resource measurement
- Bottleneck analysis and improvement checks
Load and performance testing
What you receive
- Load scripts and measurement results
- Optimisation and capacity recommendations
How we work
- 01
Discovery and scope
We assess the current environment, requirements and constraints. Priorities include: Unknown capacity limits and unexplained slowdowns. We agree on scope and acceptance criteria.
- 02
Design and implementation
We design the solution and carry out agreed activities: Workload modelling and scenario generation; Latency, error and resource measurement; Bottleneck analysis and improvement checks. Changes are checked before entering the production environment.
- 03
Validation and handover
We validate agreed scenarios, record limitations and hand over documentation. Project timing follows discovery; support hours and response targets are defined in a separate agreement.
How pricing works
Costs depend on scenarios, workload profile, test environment, observability and test cycles.
Get a consultationCommon questions
Can testing run against the live site?
A comparable test environment is preferred. Production tests require agreed limits, monitoring, stop conditions and designated responsible staff.