Niloy Ganguly, IIT Kharagpur - June 2016

A large population of customers can be affected by sudden slowdown or abnormal behavior of enterprise wide application or product. Analysts and developers of large scale systems spend considerable time dealing with functional and performance bugs. Timely identification of significant change in application behavior may help us in providing early informative warning and subsequently prevent the negative impact on the service. In this project, we aim to develop a framework to predict the sudden system anomaly in advance by analysis of log data generated by sub modules in system and to develop an automated warning system to protect the system slipping towards failure. Note that this was the first year of the project where start-up grant has been provided by NetApp to primarily explore the problem and produce initial results. However, we have several achievements and several insights developed during this one-year stint