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Load Testing
Validate sustained behavior at expected peak — the everyday confidence test that should gate every major launch.
Black Friday won't wait for your database to catch up. We model real user traffic with k6, validate your SLOs before the spike, and pinpoint exactly where the bottleneck lives — with Grafana dashboards that make it undeniable.
Users punish slow systems: a 100ms regression in latency measurably drops conversion. Yet most teams learn their capacity limits on launch day. k6's developer-first scripting and low resource footprint make serious perf testing accessible — and repeatable.
We go beyond "run a big number": we model burst patterns, warm-up behavior, browser-level rendering, and backend saturation simultaneously, then hand you prioritized fixes — measured, not guessed.
Validate sustained behavior at expected peak — the everyday confidence test that should gate every major launch.
Push past limits in controlled increments to find your true capacity ceiling and failure modes.
Sudden 10–50× bursts — flash sales, marketing pushes, breaking news — with autoscaling behavior measured.
Hours-long sustained load exposing memory leaks, connection pool exhaustion, and log-disk fill.
k6 browser (Chromium) measures real page load alongside backend — LCP/CLS alignment with Web Vitals.
Thresholds-as-code that fail the build when latency or error budgets breach — regressions caught early.
We agree latency and error budgets with stakeholders — measurable business targets.
Journeys and distributions built from analytics: real think-times, real ratios.
k6 scripts with data pools, plus Grafana/InfluxDB reporting stack stood up.
Profile runs, bottlenecks traced through APM, DB, and infra metrics.
Tuning experiments validated; thresholds wired into CI to keep it that way.
k6 sits at the center: JavaScript scripting, tiny resource footprint, and native CI friendliness. Around it, we assemble complete observability so analysis goes deep.
Legacy JMeter suites? We run parallel migrations to k6 with unchanged test coverage.
Pre-launch confidence pack
Perf gates maintained monthly
JMeter → k6 + team training
k6 scripts are plain JavaScript (versioned, reviewable, refactored like code), a single binary generates thousands of VUs on modest hardware, and CI integration is native. It produces the same core metrics — without XML hell or five-figure licensing.
Baseline early (first staging deploy), gate every release on thresholds, and run a deep stress profile before major campaigns or launches. Performance is cheapest to fix before traffic arrives.
We prefer staging mirrors; where prod testing is required, we use off-peak windows, synthetic accounts, read-heavy mixes, rate caps, and an instant abort-run protocol.
k6 Cloud or distributed agents on AWS/GCP close to your hosting region — removing "the load generator became the bottleneck" errors that plague single-machine tests.
Every report opens with a one-page business summary: current capacity in users/orders, breach conditions, cost of the top fixes, and expected launch-day outcome — followed by engineering appendix.
Get a free capacity-reading pilot: one flow, one dashboard, one honest number.