Continuous Machine Learning with Log Streams

I am doing research in Continuous Machine Learning/ Life Long Learning. Two of the use cases I came across were Predicting Failures and Anomaly Detection using log stream data. However, already there are Log Analytics tools that can do Anomaly Detection and trigger alerts. I couldn't find any tools that can predict failures. Are there tools that can predict failures too? Is it possible to predict failures using log data? (Ex: system failures). Do we need machine learning to predict system failures? Because if disk space is reaching 10% a cronjob can trigger an alert.

There are research gaps in training NLP models using streaming data. Can you suggest any other use case with Continuous Machine Learning that hasn't been explored yet?