Aggregating and Synchronizing Distributed Results
Learn how to collect, merge, and time-synchronize results from multiple load generators so distributed test data tells one coherent story.
The Aggregation Problem
In distributed load testing many generators run in parallel. Each produces its own slice of results. To understand total system behavior you must aggregate these slices into a single, consistent view.
Why Per-Node Numbers Mislead
A single node might report 500 requests/sec, but with eight nodes the real throughput is roughly 4000 requests/sec. Looking at one node alone underestimates load and can hide saturation of the target system.
All lessons in this course
- Why Distributed Testing Matters
- JMeter Distributed Setup
- k6 with Cloud & Kubernetes
- Aggregating and Synchronizing Distributed Results