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Why I ran load tests before having users

When you’re building a dev tool, performance issues tend to show up at the worst possible time: right when users finally arrive. I’m currently building Ekit, a dev-first data engine / CMS, still in an early stage. I don’t have massive traf…

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When you’re building a dev tool, performance issues tend to show up at the worst possible time:

right when users finally arrive.



I’m currently building Ekit, a dev-first data engine / CMS, still in an early stage. I don’t have massive traffic yet — and honestly, I don’t need it. Even 100–500 real users would already be a win.



Still, I decided to run load tests before traction. Here’s why — and what I learned.



Why test before users?



Most projects I’ve worked on (including my own in the past) followed this pattern:




  • Build features

  • Get users

  • Feel the app slow down

  • Panic

  • Try to fix performance under pressure



After 20+ years of development, I’ve learned that latency is much harder to fix once it’s already bad.



So this time, I wanted answers early:




  • Is the architecture sane?

  • Are there obvious bottlenecks?

  • Can I onboard early users without stress?



Test setup (kept intentionally simple)



I used k6 to run basic load tests against the API and SSR endpoints.



Nothing fancy:




  • realistic request patterns

  • no artificial spikes

  • focus on p95 latency, not just averages



The goal wasn’t to simulate massive scale, but to validate fundamentals.



Results



The most reassuring metric was the p95 latency ≤ 40 ms.



That doesn’t mean the system is “ready for millions of users”.

It simply means:




  • requests are fast

  • the stack isn’t fighting itself

  • there’s no obvious performance debt yet



For an early-stage dev tool, that peace of mind is huge.



What this changed for me



Running these tests early had a very concrete impact:




  • I stopped worrying about infra during onboarding

  • I could focus on product feedback instead of “will this hold?”

  • I now know where the limits might be — before hitting them



Performance didn’t become a bragging point.

It became a non-issue, which is exactly what you want.



What I didn’t test (yet)



To be clear:




  • I don’t have real production volumetry yet

  • I haven’t tested extreme concurrency

  • this isn’t a benchmark against other tools



And that’s fine.



Load testing early isn’t about proving excellence —

it’s about reducing uncertainty.



Final thought



If I had to summarize the lesson:




It’s much easier to scale capacity later than to fix latency you ignored early.




I’m curious:

At what stage do you usually start load testing your projects — before users, or after?

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