[mattdodge]

Care to share what types of tools do this? I'm genuinely interested. I haven't come across a log management tool that uses AI to detect abnormal conditions based on the log message contents like the OP describes. I stick to Papertrail for the most part though so I'm likely out of the loop.

[exelius]

I’ve used and really liked DataDog in the past. It has some rudimentary ML functionality for anomaly detection of certain fields, but it’s only getting better.

I’ve also had clients in the past use Splunk with ML forecasting models that inject fields as part of the ingest pipeline. I don’t know the details of that implementation; I just know how the dev teams were using it.

[crooked-v]

My company uses Sentry.io, which doesn't have AI stuff but does have good tells for separating "normal" errors from "unusual" errors.