Sap Se

Abhradeep Kundu

Harish Kumar Sampangi Rama

Venkatesh Iyengar

Amarendu Singh

Sudhakar Bommenahalli Ramamurthy

A method, a system, and a computer product for connecting computing components are disclosed. One or more data input and output properties of a data processing component in a plurality of data processing components are determined. At least one of the data input properties and data output properties of the data processing component are configured for connection of the data processing component to another data processing component in the plurality of data processing components in the data processing pipeline using a predetermined data pipeline connection topology. Using the predetermined data pipeline connection topology, the data processing component and another data processing component are dynamically connected using the configured properties.

Data pipeline using a pluggable topology connecting components without altering code of the components

In some embodiments, there may be provided a system. The system may be configured to receive web server data indicating a current state of a web server; determine, by a machine learning model and based on the web server data, whether the web server is in a first failure state; generate a first failure state indication for the web server in response to the determination, by the machine learning model, that the web server is in the first failure state; determine, by a forecaster and based on the web server data, whether the web server is in a second failure state; and generate a second failure state indication for the web server in response to the determination, by the forecaster, that the web server is in the second failure state.

Reinforced machine learning tool for anomaly detection

A method may include segregating an event stream that includes events associated with a cloud-based application hosted on a first remote resource and a second remote resource. The events may include metrics indicative of a state of the first remote resource and/or the second remote resource. The event stream may be segregated into a first child stream including events associated with the first remote resource and a second child stream including events associated with the second remote resource. The first child stream and/or the second child stream may be analyzed to identify a pattern indicative of a fault at the first remote resource and/or the second remote resource. An alert may be sent to in order to notify a client of the fault at the first remote resource and/or the second remote resource. Related systems and articles of manufacture are also provided.

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Bengaluru, India

Abhradeep Kundu