The Myth of Low Latency: Why Event Meshes Make Your System Slow
The article discusses the challenges faced by Veltrix when transitioning from a monolithic service to an event mesh architecture. Initially using Apache Kafka, they encountered high failure rates and latency issues, leading to a switch to RabbitMQ's Request-Response model. This change resulted in improved request success rates but increased overall latency, prompting a reconsideration of their architecture strategy.
- ▪Veltrix experienced high failure rates in their monolithic service, prompting a shift to an event mesh architecture.
- ▪The initial implementation with Apache Kafka led to significant request retries and dead-letter queue messages due to its limitations.
- ▪Switching to RabbitMQ's Request-Response event mesh reduced failure rates significantly but increased request latency.
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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 23 The Myth of Low Latency: Why Event Meshes Make Your System Slow #webdev #programming #architecture #systems The Problem We Were Actually Solving At Veltrix we had a simple monolithic service that handled everything - orders, products, inventory etc which resulted in high failure rates (30-40 % in extreme cases) on certain pages during peak hours. We wanted to break it down and decouple it with the event mesh to solve the high failure rates.
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