Bank of America Corporation

Narsing Raj

Ashok Kumar

Venkata Lakshmi Sai Siva Kumar Devulapalli

Hitendra Kumar

Avinash Basavant Nigudkar

Anmol Puri

Lingaraj Gopalakrishnan

Srikanth Gonda

Nusrath Fathima

Siva Kumar Devulapalli

Swarup Prakash Kar

Gaddam Sunil Reddy

Kommu John Bilton

Shalu Wadhwa

A system includes a computing infrastructure including a plurality of computing nodes and at least one blockchain network including one or more of the computing nodes. The one or more computing nodes of the at least one blockchain network are configured to receive a service request to update a first software application, identify one or more configuration items associated with updating the first software application, determine a set of update activities to be performed to update the first software application, verify the set of update activities, identify at least one user that is to perform the set of update activities, identify whether a conflicting service activity is requested for each configuration item, validate access credentials of the at least one user, and generate at least one file that includes information relating to the update activities, at least one user, configuration items, potential conflicts and verified credentials.

Automatic update management in a computing infrastructure

Systems, computer program products, and methods are described herein for early detection of operational failure in component-level functions within a computing environment. The present invention is configured to receive, from one or more source devices, log data; determine, using a trained machine learning model, a likelihood that a first subset of the log data is associated with an operational failure of one or more component-level functions; determine that the likelihood that the first subset of the log data is associated with the operational failure of one or more component-level functions is greater than a predetermined threshold; determine that the first subset of the log data reflects a current state of a first subset of source devices; generate a notification indicating that the first subset of source devices is likely to experience the operational failure of one or more component-level functions; and display the notification on an administrator device associated with the first subset of source devices.

System for early detection of operational failure in component-level functions within a computing environment

Systems, computer program products, and methods are described herein for end-to-end automation of network infrastructure development changes. The present disclosure is configured to collect and archive data comprising feature logs, resource logs, and events in a central historical data storage. This data is subsequently normalized and events are correlated to specific features. This correlation involves locating differences in pre and post-deployment feature performance, which includes resource utilization, and maintaining a history of the analyzed data in the central historical data storage.

Systems and methods for end-to-end automation of network infrastructure development changes

Aspects of the disclosure relate to an intelligent failsafe engine. A computing platform may determine that a backup should be initiated that corresponds to a determined time window. The computing platform may select either a full backup method or a differential backup method. The computing platform may initiate the selected backup method, which may include backing up only blocks that have been modified since a previous backup. The computing platform may identify that the backup has paused at a particular data block. The computing platform may identify that the backup may be resumed, and may resume the backup at the particular data block. The computing platform may send data health information and commands directing a user device to display the data health information, which may cause the user device to display the data health information.

Intelligent failsafe engine

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Hyderabad Telangana, India

Narsing Raj