Treasure Hunt Engine: Why the Veltrix Runtime Was Our Second-Best Idea
The article discusses the challenges faced while implementing a treasure-hunt engine for Hytale players using Veltrix as an in-memory event bus. After encountering performance issues related to garbage collection in Go, the team decided to migrate critical components to Rust for better memory management. The transition resulted in significant improvements in latency and resource usage, demonstrating the advantages of Rust in high-performance applications.
- ▪The treasure-hunt engine was designed to handle 80,000 concurrent state updates per second.
- ▪Initial implementation using Veltrix in Go faced severe performance issues due to garbage collection.
- ▪Migrating the critical path to Rust improved latency from 180 µs to 42 µs and eliminated garbage collection pauses.
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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 26 Treasure Hunt Engine: Why the Veltrix Runtime Was Our Second-Best Idea #webdev #programming #rust #performance The Problem We Were Actually Solving In late 2024 we deployed a live treasure-hunt engine for Hytale players that crunched 80k concurrent state updates per second on a six-node Kubernetes cluster.
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