2021 · 13 citations · 23 references
ComputingSystems EngineeringPerformance MeasurementPredictive AnalyticsProcess ValidationPerformance ModelingSystem MonitoringApplication MonitoringApplication Performance MonitoringMicroservices PerformancePerformance DegradationPerformance Degradation AssessmentPerformance Degradation PredictionPerformance MonitoringPredictive Monitoring
Application performance management (APM) tools are useful to observe the performance properties of an application during production. However, APM is normally purely reactive, that is, it can only report about current or past performance degradation. Although some approaches capable of predictive application monitoring have been proposed, they can only report a predicted degradation but cannot explain its root-cause, making it hard to prevent the expected degradation.
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Scikit-learn: Machine Learning in Python
PedregosaFabian, VaroquauxGaël, GramfortAlexandre et al. · Journal of Machine Learning Research · 2011 · 8.2K citations
Microservices: The Journey So Far and Challenges Ahead
Pooyan Jamshidi, Claus Pahl, Nabor C. Mendonça et al. · IEEE Software · 2018 · 533 citations · Full text
Engineering, Information Technology, Systems Engineering +16
A pragmatic view of accuracy measurement in forecasting
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Business, Meteorology, Forecasting +13