Designing a strongly-consistent event exchange on Amazon Aurora DSQL

I created this article as part of my submission to the H0 Hackathon. #H0Hackathon

Every exchange — equities, prediction markets, ticketing — reduces to one hard problem: a correct, always-on, globally consistent ledger. Traditionally that demands three separate things before a single order is matched:

1. a clearinghouse to guarantee trades,


2. a distributed ledger to record them, and


3. an infrastructure team for replication, failover, and reconciliation.

Parity is an experiment in collapsing all three into one primitive using Amazon Aurora DSQL — a serverless, distributed SQL database with strong consistency and optimistic concurrency. Orders match and money settles in the same transaction, with zero operational overhead.

• 🔗 Live app:
  


• 💻 Source:
  


• Consistency proof: