The numbers arrive too late to act on

Decisions made against yesterday’s position, and a reporting layer that falls over first under load.

The problem

The data exists. It just arrives after the moment it was useful. Positions are reviewed against a figure that was true this morning, and by the time a report renders, the thing it describes has moved.

Under load it gets worse: the analytics layer is usually the first component to buckle, precisely when the numbers matter most.

Rebuilding it as "faster reporting" does not work. Real-time is an architecture decision, not a tuning exercise.

How we approach it

Start from the decision the data serves, and the latency that decision actually requires
Ingest at that rate — streaming where it earns its complexity, not everywhere
Compute incrementally rather than re-querying the world on every refresh
Surface against an explicit latency budget, so "real-time" means a number
Prove it holds at peak, not at demo volume

Where we have done this

All three are financial systems. That is where our real-time depth is — market data, position and risk — rather than a general claim across every domain.

FinTech