IT Monitoring with Machine Learning


ServicePilot informs you of anomalies, wherever they occur in your IT systems



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Understand the metrics and what can be analyzed

ServicePilot allows you to collect and use 4 types of data to observe and analyze the "normal" and "abnormal" behavior of your supervised elements:1) Simple/calculated indicators, alerts, service levels, or events.


Understand the metrics and what can be analyzed

5 Algorithms with additional query possibilities

The various standard algorithms available in ServicePilot are 5 in number and allow very detailed analyses to be carried out on the metrics listed above: 1) Classification, 2) Trends, 3) Capacity, 4) Anomalies (object, alerts, SL), 5) Significant terms. These global analyses can be enhanced with additional queries


5 Algorithms with additional query possibilities

Automatically model the complexity of the real world

Detailed analyses allow you to simply take advantage of a high-performance classification to precisely target the information you are looking for. This allows you to use the classic Servicepilot fields to apply machine learning and anomaly detection to Vue/Class/object concepts, and easily filter by Object, Class, IP, Package, Resources or Views.


Automatically model the complexity of the real world

Machine learning without big data does not work

The ServicePilot learning machine module allows you to perform numerous analyses on each of your supervised IT resources. It was therefore essential that the architecture be designed from the outset to work with millions or billions of metrics per day. These automatic and/or periodic analysis mechanisms are totally free of charge and have very little impact on existing installations.


Machine learning  without big data does not work

Plan - and prepare - for the future

The ServicePilot learning machine allows you to plan and forecast trends on each of your supervised IT resources. Learning automatic baselining on what is normal allows you to better plan for the future, and even change your course by making improvements based on forecasts. Will my server run out of disk space in the next two weeks? What will be the volume of phone calls to be made on Wednesday afternoon during the lunch break? With the trend and capacity forecasting function, you can answer these questions and take appropriate action.


Plan - and prepare - for the future

How can we help you?

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