FINANCE O.S.
A comprehensive institutional trading platform interface built for high-frequency data ingestion, event-driven CQRS data synchronization, and real-time WebGL chart visualization.
descriptionREADME.md
MARKDOWN SPECFinance O.S. Architecture
Finance O.S. was conceived to address the fundamental limitations of monolithic financial transaction processing. By decomposing the transaction lifecycle into distinct, event-driven services, we achieved a 400% increase in throughput while maintaining strict ACID compliance across distributed nodes.
The Challenge
Legacy systems rely on synchronous database locks, creating bottlenecks during high-volume trading periods. The requirement was to design a system capable of processing 100k+ TPS globally with sub-50ms latency, without compromising data integrity or auditability.
Architectural Decisions
- Event Sourcing: All state changes are stored as an immutable sequence of events.
- CQRS: Separation of read and write models to optimize performance independently.
- Kafka Backbone: Utilizing Apache Kafka as the central nervous system for inter-service communication.
- Next.js & WebGL: Sub-millisecond frontend state hydration with hardware-accelerated canvas rendering.
export class EventProcessor implements IProcessor {
private readonly eventStore: EventStore;
private readonly snapshotInterval: number;
constructor(config: ProcessorConfig) {
this.eventStore = new EventStore(config.dbUrl);
this.snapshotInterval = config.snapshotInterval || 1000;
}
public async process(event: LedgerEvent): Promise<void> {
// 1. Validate cryptographic signature
if (!await verifySignature(event)) {
throw new InvalidSignatureError(event.id);
}
// 2. Append to immutable event store
await this.eventStore.append(event);
// 3. Emit stream update to Kafka bus
await publishToKafka('ledger-updates', event);
}
}System Impact
The resulting architecture not only met the performance criteria but provided a robust foundation for future scaling. Decoupling services allowed independent teams to iterate without risking system-wide instability.