The Day Our Treasure Hunt Engine Blew Up at 3 AM (And How We Rebuilt It Right)
The article discusses a significant failure in a treasure hunt game system at Veltrix due to database issues. The initial solution of sharding the PostgreSQL counter led to new complications, prompting a complete overhaul of the system with a Kafka Streams-based architecture. The new solution drastically improved performance and reliability, but the author reflects on lessons learned and potential improvements for future implementations.
- ▪The treasure hunt game faced a failure due to PostgreSQL row-level locks escalating to table-level locks.
- ▪Initial attempts to fix the issue by sharding the database introduced new latency problems and payout inaccuracies.
- ▪Switching to a Kafka Streams-based event sourcing system improved error rates from 18% to 0.02% and reduced leaderboard latency significantly.
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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 29 The Day Our Treasure Hunt Engine Blew Up at 3 AM (And How We Rebuilt It Right) #webdev #programming #architecture #systems The Problem We Were Actually Solving Our event platform at Veltrix ran a treasure hunt game that gave users real-world rewards. It started as a simple Rails app with a PostgreSQL counter column for each hunt. By 3 AM on Black Friday, that counter column became a single point of failure.
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