Transactional systems
A transactional system is judged by what happens on the worst day of the month, not by how it looks. A lost record here is lost money, and a timeout at peak hour is a sale that never happened. That is the kind of core we build.
Consistency before screen speed
Idempotency on every operation that charges or deducts, concurrency control over inventory and balances, and a data model where state is derived from events instead of a field someone overwrote. That is what prevents the double charge and the balance that does not add up at month end.
Every movement traceable
Each transaction carries its origin, its sequence of states and its outcome. When a customer disputes it or the bank asks, the answer comes from the system and not from someone remembering. It is also what makes automatic reconciliation against the gateway or carrier possible.
Designed for the peak, not the average
Queues to absorb bursts, retries with backoff, controlled degradation when a third party goes down, and load tests against the volume you expect on your worst day. We measure latency and error rate per operation, not just whether the server is up.
What you get
- Documented transactional model, with consistency rules and state machine
- Core deployed with idempotency, retries and queues
- Automatic reconciliation against gateways, banks or carriers
- Operations dashboard: volume, latency, errors and at-risk transactions
- Load tests with results against your target volume
This is for you if
- You process payments, orders or balance movements and cannot lose one
- Monthly reconciliation is done by hand and differences always show up
- The system holds on a normal day but falls over on promos or month-end close
- You need traceability of every operation for audit or for a regulator
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