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.