What is Anomaly Detection anyway? – ITRS

A recent survey found that only 27 per cent of application problems were detected by application performance monitoring tools, leaving the majority unnoticed. This large gap could be closed by the use of anomaly detection techniques. However, as there are various ways of defining an anomaly, perhaps the different types can be distinguished with different labels. Statistical Anomaly Detection Using standard statistical techniques, it is possible to identify values in a data set which are unusual. For example, if the CPU on a heavily loaded server is always expected to be a certain value and it suddenly drops significantly, it flags an anomaly and could indicate an issue with that server. Pattern Based Anomaly Detection With modern machine learning capabilities, it is possible to identify a pattern in a stream…


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