I Made the Wrong Bet on Event Streaming in Our Treasure Hunt Engine
The author reflects on their experience with event streaming in a treasure hunt game. Initially using Apache Kafka, they faced significant latency and reliability issues, prompting a switch to Apache Pulsar and Redis. This change resulted in improved performance and reduced system downtime, highlighting the importance of understanding platform tradeoffs.
- ▪The initial choice of Apache Kafka led to high latency and system crashes.
- ▪Switching to Apache Pulsar and Redis reduced latency from 5 seconds to under 50ms.
- ▪The new system handled 10 million events per second and improved overall reliability.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3942477) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Lisa Zulu Posted on May 23 I Made the Wrong Bet on Event Streaming in Our Treasure Hunt Engine #webdev #programming #ai #machinelearning The Problem We Were Actually Solving In hindsight, we were trying to solve a multi-faceted problem that went beyond just event handling. We needed to ensure that the game state was always up-to-date, even when players were offline or experienced network latency.
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