Who stands behind performance testing done right
Every system behaves differently under load. We find out how yours responds before your users do.
Testing that mirrors real conditions
Our approachPerformance problems rarely surface during casual testing. Load increases, concurrency spikes, database queries multiply. Then the system collapses. We simulate these scenarios before they happen in production.
Founded in 2018, we've focused on one thing: helping teams understand their systems under stress. No theoretical models. No assumptions based on documentation. We measure what actually happens when load hits.
Most bottlenecks hide in unexpected places. A caching layer that doesn't scale. A query that performs well with sample data but fails under volume. Connection pools that exhaust silently. We dig into metrics, analyze patterns, and deliver findings that engineering teams can act on immediately.
How testing changes after working with us
Performance issues caught early cost less and disrupt fewer users. Here's what shifts when teams adopt structured load testing.
- Performance issues discovered by users during peak hours
- Emergency fixes deployed without proper testing
- Guesswork about system capacity limits
- No baseline metrics to compare releases against
- Scaling decisions made reactively after incidents
- Bottlenecks identified before code reaches production
- Capacity planning backed by measured data points
- Clear documentation of breaking points and thresholds
- Regression testing catches performance degradation early
- Infrastructure scaled proactively based on load forecasts
The people who run the tests
Two specialists who've spent years analyzing how systems fail under pressure. Different backgrounds, shared obsession with measurement.
Oskar Lindgren
Spent eight years debugging distributed systems at scale. Now designs test scenarios that expose weak points before they become outages. Works primarily with JMeter and Gatling, but reaches for custom tools when standard frameworks can't simulate the required patterns.
Antti Järvinen
Database performance tuning background. Turns raw metrics into actionable reports that development teams actually understand. Specializes in finding the 3% of queries responsible for most performance degradation. Prefers flamegraphs over dashboards.