[Ajs1]

Hi paridso, we tackle the problem at a more foundational level. AIops tools are designed to speed up resolution and reduce noise, but they act on a feed of alerts/incidents. So in a sense they are dependant on the quality of alerts generated by monitoring tools. And typically a human will end up drilling down into data like logs and metrics to determine root cause. Our ML acts on the raw data, and has better coverage than typical log/metrics monitoring tools (including previously unknown failure modes). It also cuts time to root cause by generating complete incident summaries.