How I Started Capturing What Actually Happens When an API Fails

Most monitoring tools tell you one thing "Your API is down." That's useful. But only partially. I wanted to go beyond "it's down" and understand why — specifically, where in the request lifecycle t...

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How I Started Capturing What Actually Happens When an API Fails

Source: DEV Community

Most monitoring tools tell you one thing "Your API is down." That's useful. But only partially. I wanted to go beyond "it's down" and understand why — specifically, where in the request lifecycle things actually broke. The frustrating part of debugging failures The first time this really hit me, I spent almost an hour digging through logs after a 3am alert — only to realize the issue had already disappeared. No trace of what went wrong. Just a gap in the metrics and a resolved status. The typical workflow looks like this: You get an alert You SSH into your server You check logs You try to reproduce the issue And in many cases… the issue is already gone. The failure might have lasted only a few seconds: A DNS resolution issue A TLS handshake problem A temporary upstream timeout By the time you investigate, there's no trace left. Logs don't always tell the full story Logs are helpful, but they have real limitations: They only capture what your application explicitly logs They often miss

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