ML System DesignProduct CaseML Case

A system is needed to detect any unusual behavior on a monitored server and alert the user as soon as possible. How would you design such a system using time series anomaly detection techniques?

Machine Learning Engineer

Stripe

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A system is needed to detect any unusual behavior on a monitored server and alert the user as soon as possible. How would you design such a system using time series anomaly detection techniques?
Can you describe your approach to designing a system that can accurately detect anomalies in time series data and promptly notify the user of any abnormalities?
How would you build a system that monitors server data over time and alerts the user when the values deviate from their expected patterns?
What is your proposed technique for implementing time series anomaly detection in order to identify unusual activity on a server and notify users in real time?
Imagine I want to design a system that alerts the user whenever a pattern in server data appears unusual or abnormal. What would be your preferred method to accomplish this goal?
How would you go about creating an anomaly detection system that can detect when a monitored server's data has deviated from its typical pattern and notify the user of the issue?
If you were tasked with building a system for monitoring server data and alerting users of any anomalies, what steps would you take to accomplish this?
Can you outline your plan for developing a time series anomaly detection system that can efficiently identify unusual server activity and alert the user accordingly?
Suppose that I need a system that continually monitors a user's server and notifies them if something seems abnormal. How would you construct such a system using time series anomaly detection?
Please describe your proposed approach to creating a system that detects anomalies in a user's server data and sends alerts to get the user's attention.
Tell me an approach to design a system (from a Machine Learning perspective) to alert a user that some value you monitor on one of his server is abnormal / deserve action (anomaly detection on time series) ?

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Interview question asked to Machine Learning Engineers interviewing at Fujitsu, Adobe, Mailchimp and others: A system is needed to detect any unusual behavior on a monitored server and alert the user as soon as possible. How would you design such a system using time series anomaly detection techniques?.

A system is needed to detect any unusual behavior on a monitored server and alert the user as soon as possible. How would you design such a system using time series anomaly detection techniques?

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A system is needed to detect any unusual behavior on a monitored server and alert the user as soon as possible. How would you design such a system using time series anomaly detection techniques?

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