Production Performance Profiling
Performance problems in business software often don't show up in development or testing. They show up in production, under real load, with real data, when users are actually trying to work.
Production performance profiling gives you the tools to find and fix those problems where they actually occur.
The Problem with Dev-Only Profiling
Development environments are clean. Databases have small datasets. There's no concurrent load. The specific query that's slow with 50,000 records and complex filters runs fine with 100 test records.
By the time a performance problem shows up in production, the only way to understand it is to reproduce it in production — which typically means either guessing or asking users to tolerate the problem while you investigate.
How Production Profiling Works
Profiling can be enabled on a per-request basis for specific workspace users. When profiling is active, detailed timing information is captured for the request — database queries with execution time, cache hits and misses, time spent in specific processing stages, total request time broken down by component.
Profiling adds minimal overhead to the profiled request and has no impact on other users or other requests.
What You Can Diagnose
Slow list views. Which query is taking the most time? Is a filter causing a full table scan? Is a computed column triggering expensive per-row queries?
Slow saves. Is a save operation slower than expected? Which validation rule or workflow trigger is adding time?
Slow PDF generation. Is document generation slow? Is it the template rendering, the data loading, or the PDF assembly?
Cache miss rates. Is a frequently-accessed piece of data being retrieved from the database on every request instead of from cache?
From Insight to Fix
Profiling produces diagnostic data; fixing the problem still requires action. But the action is targeted — you're fixing the specific thing that's slow, rather than guessing. Targeted fixes produce real improvements rather than optimization theater.
Find the actual bottleneck. Fix the actual problem.