Introduction to Predictive Failure Detection I've spent years working on my Node.js-based e-commerce platform, and one of the most significant challenges I've faced is dealing with unexpected crashes. Honestly, these crashes not only result in lost sales and revenue but also damage our reputation and customer trust. I still remember last Tuesday when our system crashed, resulting in a significant loss of sales. To mitigate this, I've implemented a predictive failure detection system that catches crashes before they happen. The thing is, it's not that hard to set up, and it's been a total lifesaver. In this post, I'll share the 4 signals that have proven to be most effective in my system. I've been using them on our 3-server setup, and the results have been amazing. Signal 1: Memory Usage One of the most common causes of crashes in my system is high memory usage. When memory usage exceeds 80%, my system becomes unstable and prone to crashes. Turns out, monitoring memory usage is pretty straightforward.…