Intelligent and relevant alerts


Precise Monitoring and Alerting to intervene on real and important issues



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Very accurate monitoring software

ServicePilot has a wide technological coverage with different indicators specific to each package and pre-established thresholds. The collection of additional data on the same monitored resource (indicators, logs and events, service levels, history...) enables the analysis of the real behavior of the IT elements in order to optimize the relevance of the alerts.


Very accurate monitoring software

Static thresholds: ideal for simple metrics

The static threshold is simple and remains ideal for alerting on relatively linear metrics such as disk space. It does much more than alerting on numeric metrics and makes it possible to create alerts on logs, particular numbers of events, keywords...


Static thresholds: ideal for simple metrics

Conditional thresholds for more complex problems

Conditional thresholds are necessary for alerting on more complex problems. These thresholds are necessary to reduce false positives on dynamic and interdependent metrics such as dynamic server memory or network errors. Combining several simple metrics and alerts into a conditional alert ensures the relevance of the alert in question.


Conditional thresholds for more complex problems

Automatic thresholds on Machine Learning

The ServicePilot Machine Learning engine performs different analysis on each of the monitored resources. This makes it possible to establish fully automatic thresholds based on Machine Learning algorithms: essential alerts for monitoring activity, transactions or detecting abnormal events.


Automatic thresholds on Machine Learning

Smart alerting mechanisms

ServicePilot offers many alerts: static thresholds, conditional thresholds, with Machine Learning... and allows you to customize various parameters in order to best adjust the alerting according to your needs. Alert conditions, timings, delays, actions and variables can be modified.


Smart alerting mechanisms

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