Hi Fineract Devs, While hardening the 'Force Debit' module and resolving transaction idempotency gaps, I've analyzed a persistent CPU bottleneck in our concurrency model. Our CQRS segregation handles the database read/write load well, but the JVM thread context-switching caused by standard synchronous locks severely limits high-frequency transaction throughput.
My proposal is to architect a lock-free transaction matching engine utilizing the *LMAX Disruptor*. By implementing a Ring Buffer and leveraging mechanical sympathy, we can process core ledger mutations sequentially in memory with zero blocking. This completely bypasses the latency of thread context-switching, drastically scaling our safe transactions per second (TPS) without risking ledger corruption. I have the initial architectural blueprint drafted. I am looking for a committer's technical critique on integrating this Ring Buffer within our current transaction lifecycle boundaries. Regards, Mohammed Saifulhuq <https://saifulhuq.vercel.app/> *Java/Spring Boot SDE*
