International Business Machines Corporation

Priyaranjan Behera

Sangeetha Seshadri

Paul Henri Muench

Umesh Deshpande

Wilfred Edmund Plouffe, Jr

Nicholas Linck

Technology for identifying relevant data (also called 'data of interest') for applying a machine logic based rule and for increasing the frequency of making backups (for example, snapshots) of the relevant data.

Intelligent backup engine for data freshness

A computer-implemented method according to one embodiment includes retrieving details of a data backup system; determining whether a first data backup operation will complete within the data backup system before a second data backup operation is initiated within the data backup system, based on the details of the data backup system; and conditionally adjusting one or more elements of the data backup system, based on the determining.

Adjusting data backups based on system details

A computer-implemented method according to one embodiment includes causing a failure event in each of a plurality of microservices of a system and collecting failure effect data associated with the caused failure events. A mapping is created detailing transition of the microservices between different states and the collected failure effect data is analyzed for creating the mapping. The method further includes outputting a predetermined notification in response to a determination that a first of the microservices is close to experiencing a predicted failure event, and outputting a suggested solution for repairing the system in response to a determination that the system has failed, using the mapping to identify a root cause of the system failure. Using the mapping to identify the root cause of the system failure includes identifying the microservices that caused the system failure.

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Santa Clara, CA, United States of America

Priyaranjan Behera