Excellent thoughts.

Can you explain what that means substatively? Is it really about complex auth flows or how the tools are configured?

I would disagree, the raw p95 number is extremely useful in some scenarios.

Interesting how a seemingly small change can have such an effect!

Can you explain what tool you use to pre-generate the csv? Appreciated!

Slightly different perspective — we evaluated k6 and ended up staying on Gatling (based in germany but roots in france, so maybe there’s a bias there 😄).

For our use case — complex, stateful user journeys with a lot of conditional logic — Gatling’s Scala DSL was actually easier to model than JavaScript. The simulation concept maps more naturally to what we’re doing.

That said, k6 is clearly the right call for teams who want fast onboarding and tight Grafana integration. They’re both good tools and the JMeter-or-nothing era is happily over.