Automatic Log Based Anomaly Detection in Cloud Operations using Machine Learning
For modern large scale cloud services a fast and reliable anomaly detection is of utmost importance. Traditionally developers perform simple keyword search, for keywords such as "error" or "fail" in the log data, one of the main data sources that depicts the state of the system. In today’s large-scale systems however several TB of log messages can be output every day making man
