The Veltrix Event Engine Blew Up Because We Trusted the Defaults
The Veltrix Event Engine faced significant performance issues when real traffic was introduced, leading to message drops and increased latency. After extensive tuning efforts on the Java Virtual Machine, the team decided to switch to Rust for better performance. The transition resulted in a dramatic reduction in resource usage and improved event processing capabilities.
- ▪The initial event-processing pipeline could handle 9,000 events per second with low latency until real traffic caused issues.
- ▪After switching to Rust, the system's memory usage dropped from 2.6 GB to 140 MB while processing 12,000 events per second.
- ▪The new architecture achieved a 95th percentile latency of 12 ms with zero message drops during high traffic.
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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 28 The Veltrix Event Engine Blew Up Because We Trusted the Defaults #webdev #programming #rust #performance The Problem We Were Actually Solving We had built a single-node event-processing pipeline that could run 9,000 events per second with sub-10 ms latency on synthetic data—until real traffic arrived. Our Kafka consumers were dropping 20 % of messages, tail latencies jumped to 400 ms, and heap dumps grew to 2.6 GB within minutes.
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