Lucid Outsourcing Solutions

  Threads That Won’t Die: Fixing ColdFusion ExecutorService Leaks After Reload Your ColdFusion application creates a Java ExecutorService to run background tasks. It works well, processing work on a pool of threads. Then you reload the application, and the old threads keep running. Reload again, and more threads pile up, until the server runs out of resources. Read More

  Method Not Found at Runtime: Fixing ColdFusion Java Version Conflicts Your ColdFusion application calls a Java library method that clearly exists. The code compiled and ran fine before. Then it fails with a method-not-found error at runtime. The class is present, the method should be there, yet Java insists it does not exist. Read More

  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: esta...

  Debugging in the Dark: Closing ColdFusion Observability Gaps A production incident strikes your ColdFusion application. Users report slowdowns, and pressure mounts to fix it fast. Then you open the logs and find little to go on. The messages are vague, scattered, and impossible to connect to a single request. Read More

  Write Now, Read Stale: Fixing ColdFusion Eventual Consistency Issues Your ColdFusion application adopts an event-driven architecture for scale and decoupling. Services publish events, and others react asynchronously. Then users report strange behavior. They save a change, reload the page, and the change is not there yet. Read More

  You roll out a new ColdFusion version with a canary deployment. A small slice of traffic hits the new version while most users stay on the stable one. Then errors appear. The stable version starts throwing database errors, or the canary cannot find columns it expects. Read More