Testing & QA. Performance Testing
Find Performance Regressions Before They Reach Production
Load test up to 10,000 concurrent users in under 30 seconds, with automatic P99 regression detection and alerts on every CI run.
Overview
What is performance regression testing?
A code change that adds 200ms of latency under load can go undetected until a traffic spike turns it into an outage. Performance regression testing runs realistic load scenarios against every PR, simulating thousands of concurrent users, and compares P50, P95, and P99 latency against the baseline. Regressions are flagged before merge, not after incident.
What's included
Configurable load profiles
Define ramp-up rates, peak concurrency, soak durations, and spike scenarios to match your real production traffic patterns.
P99 latency tracking
Track P50, P95, and P99 response times separately. Configure SLA thresholds at each percentile independently.
Baseline comparison
Every test run is automatically compared to the main-branch baseline. Regressions beyond a configurable tolerance block the PR.
Distributed load generation
Load is generated from cloud-based distributed runners, no need to provision or maintain your own load generation infrastructure.
Real protocol support
Test HTTP, gRPC, WebSocket, and GraphQL endpoints with realistic payload sizes and request distributions.
Flame graph integration
When a regression is detected, server-side flame graphs are captured automatically to pinpoint the bottleneck in the call stack.
How it works
From setup to production
Define
Write load test scripts in JavaScript or YAML describing your target endpoints, payload shapes, and user behaviour flows.
Baseline
Run the initial test against main to establish approved performance baselines at each percentile.
Test
On every PR, load tests run automatically in CI. Results are available within 30 seconds for most services.
Alert
Regressions beyond your thresholds block the PR and post a detailed latency comparison report as a PR comment.
FAQ
Common questions
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