Dell Products Inc.

Proma Mukherjee

Dhilip S Kumar

Seenivasan Manavalasamy

Balakrishnan Mv

Varadharajan Krishnamurthy

Methods, apparatus, and processor-readable storage media for detecting container incidents using machine learning techniques are provided herein. An example method includes generating first and second representations of a telemetry dataset associated with a software container in an edge computing environment, the telemetry dataset including values for a set of parameters for each of a plurality of timestamps; providing the first representation to a predictive model to obtain a predicted remaining lifetime of the software container; providing the second representation of the telemetry dataset to a first machine learning model to obtain a predicted behavior of the software container; determining, using a second machine learning model, whether the predicted behavior of the software container corresponds to a pattern of behavior that is associated with previous container incidents; and triggering an automated action for the software container in response to determining that the predicted behavior corresponds to the pattern of behavior.

Detection of container incidents using machine learning techniques

A method comprises receiving a request to combine data from a plurality of data collections based on one or more constraints, and analyzing the request using one or more machine learning algorithms to determine an order by which respective ones of the plurality of data collections are to be searched. The respective ones of the plurality of data collections are searched according to the determined order, and an output of combined data from the searching is generated in response to the request.

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Kolkata, India

Proma Mukherjee