How I Built Zero Bank Fintech System
An in-depth backend engineering log detailing the ledger execution loop, atomic state validation, and sub-10ms database sync of Zero Bank.
When building a financial system, there is no margin for error. Traditional databases fail to keep up when thousands of events occur simultaneously. For Zero Bank, we built an event-driven ledger core using event sourcing and CQRS patterns.
Normally, databases lock rows when a user's balance updates. Under high concurrency, this leads to locks, latency, and crashes. We solved this by using an append-only ledger log, written first to memory databases.
Core Architecture Design To preserve atomic guarantees, every balance update undergoes double-layer cryptographic signing (HMAC-SHA512) and sequence verification directly at the API edge. Our gRPC communication pipeline pipes these inputs straight to Redis-buffered ledger clusters.
An asynchronous PostgreSQL worker reads these streams, flushing transactional states down-channel. Decoupling transactions from write-locks achieves a throughput of 35,000 transactions per second under 10ms settlement.