java-load-testing

Model realistic user journeys, design smoke or stress scenarios, and execute load tests using k6 or Gatling to capture latency, throughput, and error rate metrics for a measurable performance baseline.

Automate k6 or Gatling script execution within pipelines, collect latency and error metrics, and generate reports to produce a clear regression signal for pre-release performance validation.

Yes, you can use Gatling and k6 for workload modeling on Java backends to define user journeys, mix read and write operations, and simulate realistic data sets for capacity sizing and stress testing.

Design load test scenarios like stress, spike, and soak tests by modeling target user journeys, defining data sets, and configuring k6 or Gatling scripts to evaluate saturation, latency percentiles, and error rates under varying traffic loads.

Safe operational practices for running load tests involve locking down the test environment, modeling workloads carefully, and avoiding melt-prod scenarios by isolating traffic to establish baselines without degrading live services.