Three Crucial Ways Machine Learning for Monitoring Automation Advances IT

by Richard Whitehead The increase in complexity, along with the accelerating rate of change in IT are the two factors that make it so difficult for IT operations teams to identify issues without having deep knowledge of a particular setup. This complexity also means that technical people are staring at incomplete screens, showing only a part of the overall situation: one layer of the stack, one area of the network, or one business service. It has been said that the probability of an error is O(εN), where N is the number of times a human being has to intervene. As complexity and pace of change increase, however, the need for human intervention grows too, and with it the probability of somebody missing something or misinterpreting a signal. So how can…


Link to Full Article: Three Crucial Ways Machine Learning for Monitoring Automation Advances IT