Designing a high-throughput, transactionally isolated ledger system handling 5,000 operations per second under transient network partition conditions.
An APAC payment processing platform suffered from occasional ledger discrepancies during network failures. Because payouts were processed via event-driven microservices without unified transactional constraints, temporary network drops led to mismatched states between balances and ledgers. Auditing and reconciling these records manually cost hours of daily engineering time and delayed merchant payouts.
We built a double-entry accounting ledger service from scratch. Written in Go, the ledger implements strict database transaction levels (Serializable Isolation) in PostgreSQL to guarantee atomic debit/credit updates. We incorporated RabbitMQ for transaction request sequencing and built an automatic, background reconciliation engine that compares transaction logs against processor callbacks in real-time, resolving anomalies with state logs.
Mismatches and balance discrepancies were eliminated entirely. The transaction system achieved peaks of 5,000 transactions per second under high-concurrency simulations. Daily payout audit delays dropped from four hours to instant, automated matching, saving operations from manual financial corrections.
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