MONITORING, DETECTION AND ANALYSIS OF DATA FROM DIFFERENT SERVICES

A fault monitoring, detection and analysis system obtains data (e.g. online service facts) from different data sources. Many times the data obtained from the different data sources is in different formats. The data is classified (e.g. into error, performance and usage events/facts) based on user configured multi-dimensional (time, topology, functional area) filter criteria. The data from the different data sources is normalized into a standard format and stored. The data may also be grouped and duplicates may be removed before and/or after the normalized data is stored. Analysis is performed on the normalized data. For example, the analysis may monitor for expected events, unexpected events, detect abnormal behavior of the system, and the like. Different users may submit different jobs to the system to obtain data from the data store. A reporting service exposes one or more views of the data and/or the analysis of the data.