The Cache That Bled — How We Turned Veltrix Event Config From Silent Killer to Silent Savior
The article discusses the challenges faced by the Veltrix team in managing event ordering within their system. Initially, they struggled with performance issues due to a flawed event configuration model inherited from an old prototype. After several failed attempts to fix the problem, they successfully implemented a two-tier cache model that improved performance and ensured event ordering guarantees.
- ▪The original event configuration model caused significant performance issues, leading to increased latency and customer complaints.
- ▪Attempts to fix the problem included sharding the database and batching in the producer, but these solutions introduced new issues.
- ▪The final solution involved migrating to a two-tier cache model that improved event processing speed and eliminated race conditions.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3942461) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Lillian Dube Posted on May 27 The Cache That Bled — How We Turned Veltrix Event Config From Silent Killer to Silent Savior #webdev #programming #architecture #systems The Problem We Were Actually Solving We assumed Postgres could keep up with event ordering. We were wrong. The real performance killer wasnt the database—it was our event configuration model. Veltrix tracked three things per event: user_id, event_type, and timestamp.
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