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CASE 02·Kestrel Clearing·2025

Kestrel Core Settlement Engine

Designed and implemented an ultra-high-throughput financial transaction engine. Utilizes custom Raft consensus over io_uring with high-performance concurrency, processing interbank clearing with sub-10ms latency.

  • FinTech & Security
  • High-Throughput Cloud
Abstract network of financial data streams
240k
Peak TPS
< 10ms
Clearing latency
100%
Order accuracy

Kestrel's interbank clearing pipeline required deterministic consensus at a throughput no off-the-shelf stack could deliver. We implemented a purpose-built Raft variant over io_uring, keeping the consensus log off the critical allocation path.

Verified before production

State transitions were specified in TLA+ and checked against the implementation, so the concurrency behaviour was proven before a single production transaction ran.

Stack: High-throughput cloud • Rust & Raft

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