GoKawiilJane Street intern cuts Aria message bus CPU use 30% with new indexing method
Jane Street intern Theodor Totev redesigned how the firm's internal Aria messaging system filters subscriber data during 'tip recovery,' the process where lagging clients pull recent messages from an in-memory ring buffer. By replacing a simple linear scan with an indexing and tree-splitting approach tailored to Aria's hierarchical topic structure, the project cut CPU usage by 30% on production workloads while preserving the system's strict correctness requirements.