Source: devops.com
Three Ways Machine Learning Can Change Incident ManagementCategory: Data, machine-learning, artificial-intelligence
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Incident management for important applications has many connotations, many of them negative.
By ingesting all logs and metrics to find meaningful problems or anomalies, systematized machine learning can quickly and comprehensively sift through all data to gain a thorough understanding of the real problem.
Poring over logs and metrics is a perfect application for machine learning and offers the opportunity to fundamentally change incident management, transforming it from a scourge and necessary burden to a competency. An automated system of machine learning applied to incident management advances DevOps rather than encumbers it.
Incident management for important applications has many connotations, many of them negative.
By ingesting all logs and metrics to find meaningful problems or anomalies, systematized machine learning can quickly and comprehensively sift through all data to gain a thorough understanding of the real problem.
Poring over logs and metrics is a perfect application for machine learning and offers the opportunity to fundamentally change incident management, transforming it from a scourge and necessary burden to a competency. An automated system of machine learning applied to incident management advances DevOps rather than encumbers it.
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