Load Testing ColdFusion Applications With k6 and Gatling: Baseline Before You Optimize

 

Before you optimize a ColdFusion application, you must measure it under load — because optimizing without a baseline is guessing, and you can’t prove an improvement you never measured. k6 and Gatling are the two modern, code-first load-testing tools for this: both hit your ColdFusion app over HTTP (they’re language-agnostic — ColdFusion is just the target under test), both define load scenarios as version-controlled code, both run in CI, and both stream results to Grafana. k6 scripts in JavaScript — an options object sets virtual users (VUs), stages, and pass/fail thresholds like http_req_duration: ['p(95)<500'], and a default function defines what each VU does. Gatling runs on the JVM and scripts in a Scala/Java/Kotlin DSL — a Simulation chains a scenario().exec(http(...)), setUp(...injectOpen(rampUsersPerSec(...))) shapes the load, and .assertions(...) set pass/fail criteria (the direct analog of k6 thresholds). The methodology is the same for both: establish a baseline first — ramp up, hold at steady state to collect stable metrics (p95/p99 response time, throughput, error rate), record those numbers, then optimize and re-run to prove the delta. This guide shows both tools against a ColdFusion app, and the baseline-first workflow.

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