Method for determining an estimated duration before a technical incident in a computing infrastructure , said method being carried out by a computing device , said computing device comprising a data processing module , a storage module configured to store at least one base for correlation between performance indicators, said correlation base comprising values of a duration before becoming anomalous between correlated performance indicators, and a collection module , said method comprising: - a step in which the collection module receives performance indicator values for a computing infrastructure , - a step in which the data processing module identifies anomalous performance indicators, said identification comprising an analysis of the performance indicator values so as to identify anomalous values and performance indicators associated with these anomalous values, - a step in which the data processing module identifies first at-risk indicators from the correlation base , said first at-risk indicators being performance indicators correlated with the identified anomalous performance indicators, the method being characterized by: - a step in which the data processing module identifies other at-risk indicators from the correlation base , said other at-risk indicators being second-level at-risk performance indicators by being correlated with the first identified at-risk performance indicators, or third-level at-risk performance indicators by being correlated with the second-level at-risk performance indicators, and - a step in which the data processing module determines an estimated duration before a technical incident in the computing infrastructure , enabling the identification of a shortest path leading to a risk of a technical incident, the shortest path being a path leading to a failure of which a sum of the durations before becoming anomalous between correlated performance indicators is the shortest, said estimated duration before a technical incident being calculated from the values of a duration before becoming anomalous from the correlation database for the first identified at-risk indicators and the other identified at-risk indicators. - a step in which the collection module receives performance indicator values for a computing infrastructure , - a step in which the data processing module identifies anomalous performance indicators, said identification comprising an analysis of the performance indicator values so as to identify anomalous values and performance indicators associated with these anomalous values, - a step in which the data processing module identifies first at-risk indicators from the correlation base , said first at-risk indicators being performance indicators correlated with the identified anomalous performance indicators, - a step in which the data processing module identifies other at-risk indicators from the correlation base , said other at-risk indicators being second-level at-risk performance indicators by being correlated with the first identified at-risk performance indicators, or third-level at-risk performance indicators by being correlated with the second-level at-risk performance indicators, and - a step in which the data processing module determines an estimated duration before a technical incident in the computing infrastructure , enabling the identification of a shortest path leading to a risk of a technical incident, the shortest path being a path leading to a failure of which a sum of the durations before becoming anomalous between correlated performance indicators is the shortest, said estimated duration before a technical incident being calculated from the values of a duration before becoming anomalous from the correlation database for the first identified at-risk indicators and the other identified at-risk indicators. <EOS>