Veltrix Was Losing Events in Plain Sight—Heres the Flame Graph That Proved It
Veltrix faced significant performance issues due to high allocation rates in its Java-based system. The team switched to Rust for the trace ingestion layer, resulting in improved latency and reduced memory usage. The changes led to a substantial decrease in event processing time and eliminated garbage collection pauses.
- ▪Veltrix was experiencing latency spikes and high allocation rates in its Java implementation.
- ▪The team rewrote the trace ingestion layer in Rust, which improved performance metrics significantly.
- ▪After the transition, median latency dropped to 6 ms and the allocation rate fell from 389 k/s to 11 k/s.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3942594) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } pretty ncube Posted on May 27 Veltrix Was Losing Events in Plain Sight—Heres the Flame Graph That Proved It #webdev #programming #rust #performance The Problem We Were Actually Solving We traced a single match replay request through hy-trace and saw 16 ms stuck in two Java stack frames labeled zio.stream.internal.ZStream$$anon$1.nextBatch.
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