Granted Patent B2

US 12,499,090 · App. 18/472,430 · Granted Dec 16, 2025

Inventors: Nour Omar (Hurst, TX); Louis Buell (Chevy Chase, MD); Donald Gennetten (Henrico, VA)

Assignee: CAPITAL ONE SERVICES, LLC

G06F16/172G06F16/164

Abstract

Claims (102)

1 . A system comprising:

one or more processors;

memory in communication with the one or more processors and storing instructions that are configured to cause the system to:

receive input data;

determine a maximum size threshold based on an upload size restriction of a serverless file system and an expected percentage in data reduction from optimizing data for upload to the serverless file system;

automatically determine whether the input data is appropriate for optimization by comparing a size of the input data to a minimum size threshold and the maximum size threshold;

responsive to determining that the input data is appropriate for optimization:

optimize the input data to reduce a size to create optimized data;

group the optimized data;

apply metadata to the optimized data, wherein the metadata is configured to accommodate an indication of all locations the optimized data is stored in the serverless file system;

apply enterprise governance and compliance requirements to the optimized data;

store the optimized data and the metadata in a data repository, the data repository being configured to locally store optimized data in a condition to be uploaded to the serverless file system upon command;

receive an input to upload the optimized data to the serverless file system;

determine, from the metadata, whether the optimized data is stored in the serverless file system;

responsive to determining that the optimized data is not stored in the serverless file system:

upload, from the data repository and via an application programming interface, to the serverless file system, the optimized data; and

update, in the data repository, the metadata associated with the optimized data that is stored in the data repository to indicate a new location at which the optimized data is stored on the serverless file system.

2 . The system of claim 1 , wherein determining whether the input data is appropriate for optimization comprises:

identifying whether one or more dependencies exist;

responsive to identifying that the one or more dependencies exist:

determining whether a sum of a total size of the one or more dependencies is greater than 50 megabytes and less than 250 megabytes; and

responsive to determining that the sum of the total size of the one or more dependencies is greater than 50 megabytes and less than 250 megabytes:

determining that the input data is appropriate for optimization.

3 . The system of claim 1 , wherein optimizing the input data further comprises:

determining a programming language of the input data;

responsive to determining the programming language of the input data:

completing language-specific size optimizations of the input data;

stripping object symbols from .so files;

deleting test folders; and

compressing the input data.

4 . The system of claim 3 , wherein the memory stores further instructions that are configured to cause the system to: responsive to determining that the optimized data is not stored in the serverless file system:

decompress the optimized data.

5 . The system of claim 4 , wherein optimizing the input data is completed by a first machine learning model, wherein the first machine learning model is trained to complete language-specific optimization of the input data based on prior examples of the input data and the optimized data.

6 . The system of claim 3 , wherein completing the language-specific size optimizations of the input data comprises deleting object files in python, minifying files in JavaScript, or combinations thereof.

7 . The system of claim 1 , wherein grouping the optimized data comprises:

locating dependencies in the optimized data; and

grouping, using heuristics, the optimized data such that inputs and outputs of the dependencies are located in a proximity to one another.

8 . The system of claim 7 , wherein the grouping of the optimized data is completed by a second machine learning model based on prior examples of the input data and the optimized data.

9 . The system of claim 1 , wherein the memory stores further instructions that are configured to cause the system to:

responsive to determining that the optimized data is stored in the serverless file system:

reference the optimized data in the serverless file system.

10 . A system comprising:

one or more processors;

memory in communication with the one or more processors and storing instructions that are configured to cause the system to:

receive input data;

determine a maximum size threshold based on an upload size restriction of a serverless file system and an expected percentage in data reduction from optimizing data for upload to the serverless file system;

automatically determine whether the input data is appropriate for optimization by comparing a size of the input data to a minimum size threshold and the maximum size threshold;

responsive to determining that the input data is appropriate for optimization:

optimize the input data to reduce a size to create optimized data;

group the optimized data;

apply metadata to the optimized data, wherein the metadata is configured to accommodate an indication of all locations the optimized data is stored in the serverless file system;

apply enterprise governance and compliance requirements to the optimized data;

store the optimized data and the metadata in a data repository, the data repository being configured to locally store optimized data in a condition to be uploaded to the serverless file system upon command;

generate a first graphical user interface comprising search input terms;

transmit the first graphical user interface to a user device;

receive a search command from the user device;

generate, based on the search command and the metadata, an interactive search list, wherein the interactive search list shows results including the optimized data;

generate a second graphical user interface comprising the interactive search list;

transmit the second graphical user interface to the user device; and

receive a selection from the user device indicating to upload the optimized data.

11 . The system of claim 10 , wherein the results are entries further comprising information regarding the entry, an architecture, a last updated date, contributors, or combinations thereof.

12 . The system of claim 10 , wherein the interactive search list further comprises filters used to sort results and access control limitations that require user authentication to view certain results.

13 . The system of claim 10 , wherein the memory stores further instructions that are configured to cause the system to:

upload, via an application programming interface, to the serverless file system, the optimized data.

14 . The system of claim 10 , wherein the memory stores further instructions that are configured to cause the system to:

determine, from the metadata, whether the optimized data is stored in the serverless file system;

responsive to determining that the optimized data is not stored in the serverless file system:

upload, via an application programming interface, to the serverless file system, the optimized data;

update the metadata of the optimized data to indicate a new location at which the optimized data is stored on the serverless file system; and

responsive to determining that the optimized data is stored in the serverless file system:

reference the optimized data in the serverless file system.

15 . The system of claim 10 , wherein optimizing the input data is completed by a first machine learning model, wherein the first machine learning model, based on the input data, completes language-specific optimizations of the input data to create optimized data based on prior examples of the input data and the optimized data.

16 . A system comprising:

one or more processors;

memory in communication with the one or more processors and storing instructions that are configured to cause the system to:

receive input data;

optimize the input data to reduce a size to create optimized data;

group the optimized data;

apply metadata to the optimized data, wherein the metadata is configured to accommodate an indication of all locations the optimized data is stored in a serverless file system;

apply enterprise governance and compliance requirements to the optimized data;

store the optimized data and the metadata in a data repository, the data repository being configured to locally store optimized data in a condition to be uploaded to the serverless file system upon command based on the optimized data having a file size less than an upload size restriction of the serverless file system;

generate a first graphical user interface comprising search input terms;

transmit the first graphical user interface to a user device;

receive a search command from the user device;

generate, based on the search command and the metadata, an interactive search list, wherein the interactive search list shows results including the optimized data;

generate a second graphical user interface comprising the interactive search list;

transmit the second graphical user interface to the user device;

receive an input from the user device to upload the optimized data to the serverless file system;

determine, from the metadata, whether the optimized data is stored in the serverless file system;

responsive to determining that the optimized data is not stored in the serverless file system:

upload, from the data repository and via an application programming interface, to the serverless file system, the optimized data; and

update, in the data repository, the metadata associated with the optimized data that is stored in the data repository to indicate a new location at which the optimized data is stored on the serverless file system.

17 . The system of claim 16 , wherein optimizing the input data is completed by a first machine learning model, wherein the first machine learning model, based on the input data, completes language-specific optimizations of the input data to create optimized data based on prior examples of the input data and the optimized data.

18 . The system of claim 16 , wherein the memory stores further instructions that are configured to cause the system to: responsive to determining that the optimized data is not stored in the serverless file system:

generate a third graphical user interface indicating that the optimized data has been uploaded to the serverless file system and the new location at which the optimized data is stored; and

transmit the third graphical user interface to the user device.

19 . The system of claim 16 , wherein the memory stores further instructions that are configured to cause the system to:

responsive to determining that the optimized data is stored in the serverless file system:

reference the optimized data in the serverless file system;

generate a fourth graphical user interface indicating that the optimized data was already uploaded to the serverless file system and was referenced instead of reuploaded; and

transmit the fourth graphical user interface to the user device.

20 . The system of claim 16 , wherein applying the enterprise governance and the compliance requirements further comprises verifying security requirements and license needs for the optimized data.

Assignments (1)

Continuity (1)

References Cited (49)