QA
Performance Testing & Optimisation
End-to-end performance testing and tuning initiative for a logistics platform handling real-time tracking.
Client
FreightScale
Duration
4 months
Category
QA
Technologies Used
k6GrafanaAWS X-RayPostgreSQL
Project Overview
We stress-tested FreightScale at peak holiday load, tuning database indices, implementing back-pressure controls, and instrumenting custom performance dashboards.
Key Features
- Scenario-driven load modelling
- Real-time performance observability
- Optimised query execution plans
- Automatic throttling safeguards
- Continuous performance baselines
Results Achieved
- 99th percentile latency reduced from 3.2s to 950ms
- Infrastructure spend trimmed by 18%
- Detect-to-resolve time for incidents cut by 40%
- Platform ready for 3x predicted holiday traffic