Load & Performance Testing with k6, JMeter and Locust

I stress-test web apps and APIs so that peak traffic never turns into an outage. Before writing a single script I study your real usage: which endpoints carry the load, what a typical user journey looks like, where the cache helps and where it lies. From that I build realistic scenarios with proper think-time, parameterized data and gradual ramp-up, instead of hammering one URL and calling it a test. I use k6, JMeter or Locust depending on your stack.

During the run I watch response times, throughput, error rate and the percentiles that matter, then correlate them with server metrics: CPU, memory, database locks, connection pools and slow queries. That is where the real work happens, because a test that only prints numbers is useless. I find the exact bottleneck that makes latency explode at a certain concurrency and explain it in plain language. You get a written report with graphs, the breaking point of your system, a prioritized list of fixes and concrete recommendations on capacity. After your team applies the changes I retest with the same scenarios, so the improvement is proven with real figures rather than hope.

— Realistic scenarios with ramp-up, spike and soak profiles
— Bottleneck analysis across app, database and infrastructure
— Clear report with recommendations and a free retest after fixes