Industries
E-commerce: latency runs straight through to revenue
What is heavy here: traffic. Catalog scale, seasonal peaks, and a latency number that converts directly into revenue.
Where it bites
The decision that is expensive to get wrong
What the system does when the peak is larger than the forecast.
The transformation work
- Search, recommendation and support paths sized against peak rather than average
- Capacity and cost per request budgeted before the peak
- Load tests against the peak's actual traffic shape
The same four properties underneath
Heavy traffic, heavy data, reliability written into a contract, and scale that arrives without warning. Those four are why the engineering is the same in every industry we work in. See the others.
Send us the problem
Describe what is stuck. We will come back with an architecture, a timeline and the first commit.