Goal
Looks for an unusual error Code.
Description
Given the historic data of a customer, It will learn as normal error Codes, those that appear a portion of days higher than a defined threshold.
Characteristics
Data involved
We will use all the data incoming from the AWS API that involves an error.
Alert Generation
We will generate an alert/signal when the model considers that the error code is anomalous. Only one type of alert.
Raw outputs of the model
A boolean value that indicates whether the error Code is anomalous or not.
Last updated 4 months ago