Greetings, colleagues.
I am student from ITMO University and I am having the course “Cloud and Fog Computing” now. As a project for this subjects I have selected such topic:
“Challenges in Open-Source AIOps Platforms for Proactive Anomaly Detection with Minimal False Positives”.
My goal for the subject is to make a pull request to an open source project that closes a practical aspect of the topic. I am not quite experienced with anomaly detections, so I will appreciate if you can give me some advices on how I could improve your toolkit, so I could minimise False Positives while not breaking its logic.
Is this feature useful for loglizer?
If yes, would you mind if I implement it?
Thanks,
Daniel Babenko.
Greetings, colleagues.
I am student from ITMO University and I am having the course “Cloud and Fog Computing” now. As a project for this subjects I have selected such topic:
“Challenges in Open-Source AIOps Platforms for Proactive Anomaly Detection with Minimal False Positives”.
My goal for the subject is to make a pull request to an open source project that closes a practical aspect of the topic. I am not quite experienced with anomaly detections, so I will appreciate if you can give me some advices on how I could improve your toolkit, so I could minimise False Positives while not breaking its logic.
Is this feature useful for loglizer?
If yes, would you mind if I implement it?
Thanks,
Daniel Babenko.