A method for monitoring batch processing of applications executed in a computer infrastructure, according to a planning calendar determined by a scheduler, the method being implemented by a monitoring software performing: • a detection of at least one event, called incident, of congestion of the computing resources of said infrastructure, this detection triggering a timestamp of said incident, followed by a determination of a period of time close to this event, this period being able to be extended at a time interval preceding and/or succeeding the event; • then an identification of at least one batch likely to be involved in the cause of said incident, the method being such that: • it includes a measurement, by a plurality of probes managed by a monitoring tool, of the instantaneous consumption of the computing resources of the said infrastructure over time, for each of the batches executed; • said detection of at least one incident triggers a recording, in a memory accessible by the monitoring software, of a footprint representative of the consumption of the measured resources for each of the batches executed during said period close to the incident, in particular thanks to the data obtained during the step of measuring the instantaneous consumption; • said identification is obtained through the implementation of the following steps: - recording, in a memory accessible by the monitoring software, data representative of the usual consumption of the computing resources of said infrastructure by batches over time, this recording including a step of recording, for each of the batches, a profile of consumption of the resources over the entire duration of execution of the batch; - monitoring the execution of all the batches over time, thanks to the data representative of said planning calendar; - comparing, for each of the batches executed during a period close to the incident detected, between the data representative of the measured instantaneous consumption and the data representative of the usual consumption. • a detection of at least one event, called incident, of congestion of the computing resources of said infrastructure, this detection triggering a timestamp of said incident, followed by a determination of a period of time close to this event, this period being able to be extended at a time interval preceding and/or succeeding the event; • then an identification of at least one batch likely to be involved in the cause of said incident, • it includes a measurement, by a plurality of probes managed by a monitoring tool, of the instantaneous consumption of the computing resources of the said infrastructure over time, for each of the batches executed; • said detection of at least one incident triggers a recording, in a memory accessible by the monitoring software, of a footprint representative of the consumption of the measured resources for each of the batches executed during said period close to the incident, in particular thanks to the data obtained during the step of measuring the instantaneous consumption; • said identification is obtained through the implementation of the following steps: - recording, in a memory accessible by the monitoring software, data representative of the usual consumption of the computing resources of said infrastructure by batches over time, this recording including a step of recording, for each of the batches, a profile of consumption of the resources over the entire duration of execution of the batch; - monitoring the execution of all the batches over time, thanks to the data representative of said planning calendar; - comparing, for each of the batches executed during a period close to the incident detected, between the data representative of the measured instantaneous consumption and the data representative of the usual consumption. - recording, in a memory accessible by the monitoring software, data representative of the usual consumption of the computing resources of said infrastructure by batches over time, this recording including a step of recording, for each of the batches, a profile of consumption of the resources over the entire duration of execution of the batch; - monitoring the execution of all the batches over time, thanks to the data representative of said planning calendar; - comparing, for each of the batches executed during a period close to the incident detected, between the data representative of the measured instantaneous consumption and the data representative of the usual consumption.