# Wisdom from performance testing Ignition **URL:** \ **Category:** Ignition\ **Tags:** perspective\ **Created:** [March 30, 2026, 3:00pm UTC](https://forum.inductiveautomation.com/t/wisdom-from-performance-testing-ignition/114769 "2026-03-30T15:00:41Z")\ **Posts on this page:** 1\ **Showing post:** 13
**Author:** ![kayla.hebert](https://avatars.discourse-cdn.com/v4/letter/k/838e76/32.png) [@kayla.hebert](https://forum.inductiveautomation.com/u/kayla.hebert)\ **Post date:** [March 30, 2026, 8:18pm UTC](https://forum.inductiveautomation.com/t/wisdom-from-performance-testing-ignition/114769/13 "2026-03-30T20:18:35Z")
Apologies for being evasive, I’m very experienced with (non-Ignition) full stack high throughput, high frequency development with less experience in a jvm environment. However, the question was how to measure performance, not to do a code review. I’m not above code review, that’s just not what I’m looking for. 1. Is your decorator an implementation of [this post](https://forum.inductiveautomation.com/t/script-benchmarking-with-decorators-example/63507)? 2. Yes, databases are optimized for data operations. I understand Named Queries \> Expression \> Script Transform, but how would I measure that? I can parse logs, but I’d ideally like a benchmarking toolkit for this type of discovery. 3. I didn’t know you could enable caching with Named Queries, this looks like a better implementation than what I’m doing. Have you noticed any issues with stale data, where the client session doesn’t refresh automatically if a view isn’t reloaded? 4. We use a separate database server within our cloud provider, where we don’t control network routing (presumably it’s over LAN, but I know some cloud providers virtualize that and only guarantee regional affinity). Given this architecture, my goal was minimize queries and offload processing to the client where possible. --- _[View the full topic](https://forum.inductiveautomation.com/t/wisdom-from-performance-testing-ignition/114769)._