Choosing the Right Treasure Map to Avoid Data Decay in Veltrix
The article discusses the challenges faced in designing an event-sourcing system on Veltrix. Initially, the team struggled with a rigid schema that led to performance issues and data inconsistencies. After switching to a sharded, normalized schema, they achieved significant improvements in latency and system reliability.
- ▪The initial approach involved an unsharded, denormalized collection that could not handle the event volume.
- ▪Switching to a sharded, normalized schema allowed for better distribution of write loads and reduced data inconsistencies.
- ▪Event write latency improved from 250ms to 30ms, and average query latency decreased from 200ms to 10ms.
Opening excerpt (first ~120 words) tap to expand
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 22 Choosing the Right Treasure Map to Avoid Data Decay in Veltrix #webdev #programming #architecture #systems The Problem We Were Actually Solving We thought we were solving the classic event-sourcing problem – storing and replaying events from a distributed system to ensure data consistency. Sounds simple, right? In theory, yes, but in practice, it's a minefield.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
