Name the path you are measuring
| Path | Useful observation |
|---|---|
| Client access | Route quality from representative client locations and the affected connection pattern. |
| Operator action | Time-bounded request and application or resource evidence. |
| Market data | Source and reception sequence, transformations and delivery points. |
| External execution | Correlated request and response records at the available interfaces. |
Keep clocks and timestamp precision in mind. A comparison between unsynchronised systems can suggest a delay that was introduced by measurement rather than processing.
Find the boundary that changes with the symptom
Collect a sample during an affected period and a comparable normal period. Look for changes in the same workflow, route and instrument context. Correlate application observations with resource pressure, scheduled tasks and connection errors; correlation guides the investigation but does not prove the cause.
If only one client region is affected, examine its path before resizing the central environment. If reporting and administration slow together during a routine job, examine the shared resource boundary. Keep the scope narrow enough to test a hypothesis.
Evaluate one reversible change at a time
Define the expected effect, repeat the baseline measurement after the change and retain the conditions. A faster ping or a lower CPU percentage is not enough if the workflow remains slow. Record what improved and what did not so later decisions do not rely on an isolated benchmark.
Use the latency planning checklist for the measurement brief. If the evidence points to execution connectivity, continue with bridge-path diagnosis rather than assigning the entire response interval to the platform server.