Skip to main content

JMeter Power Without the XML Misery

Thread groups, timers and assertions behind a UI, with exports that let you leave.

3Export targets: k6, JMeter, Locust
P50→P99Percentiles + Apdex out of the box
0XML files you will hand-edit

The JMeter paradox

JMeter earned its place: thread groups, timers, and assertions express real load semantics, and a generation of load engineers thinks in them. It is also a maintenance tax: sprawling XML, GUI-edited files that diff terribly, and plans that only one person on the team can safely touch.

Keep the semantics, lose the pain

Our performance engine keeps the JMeter mental model (thread groups, ramp profiles, timers, assertions) behind a UI that produces reviewable configuration instead of XML archaeology. Results ship with P50/P95/P99 and Apdex scoring by default, because a load test without percentiles is a vibe, not a measurement.

And because lock-in is the quiet cost of every platform decision, plans export to k6, JMeter, and Locust. If you leave, your load tests leave with you. We would rather earn the renewal than engineer the exit cost.

If you run JMeter today

  • Import an existing plan through Migration Setup and compare the round-trip.
  • Re-run your last load test and check the P95/Apdex against your previous tooling.
  • Keep your JMeter exports in the repo. Portability you can verify beats portability promised.

How we measured this

  • P50, P95, P99 and Apdex are computed by the engine from every sample in a run. Apdex follows the standard formula: satisfied requests plus half of the tolerating requests, divided by all requests, against the target time configured for the run.
Engineering

Your Scanner Is Crying Wolf: Ending False-Positive Fatigue With Evidence

The problem: vulnerability scanners flood teams with unconfirmed findings, and triage eats the time that should go to fixing. Our approach: an attack-confirmation engine that verifies findings with real evidence: the request, the response and the proof, bundled with every report.

8 min read
Engineering

The Regression You Can't See: Why Microsecond API Timing Matters

When your API budget is 20ms, a regression from 3ms to 9ms is invisible at millisecond precision until it compounds. Our API studio measures at microsecond precision so you catch regressions while they are still cheap to fix.

6 min read
Engineering

How We Made a React SPA Readable by AI Answer Engines Without Adding a Dependency

Most AI crawlers do not run JavaScript, so a Vite and React marketing site is invisible to them. We prerender every sitemap route at build time with Playwright, assert the head tags and JSON-LD on each page, name every crawler in robots.txt, and force noindex while the site URL is still a placeholder. Zero new packages. Here is the mechanism, and what it does not solve.

9 min read

See it on your own project

14-day free trial. No credit card. Import your existing tests and measure the difference on your own numbers.

Start Free Trial View Pricing

Your choice about analytics

We use one optional analytics tool, run on our own servers, to see which pages help people. It stays off unless you turn it on. Storage needed to sign you in, keep the site secure and remember this choice is always on. Cookie Policy