The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 10, 2024

Filed:

May. 09, 2022
Applicant:

T-mobile Usa, Inc., Bellevue, WA (US);

Inventors:

Venkata Reddy Donthireddy, Sammamish, WA (US);

Deependra Adhikari, Bellevue, WA (US);

Praveen Kumar Indla, Bothell, WA (US);

Madhu Raman Nair Kangara, Bothell, WA (US);

Assignee:

T-Mobile USA, Inc., Bellevue, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 11/30 (2006.01); G06F 11/34 (2006.01); G06F 16/21 (2019.01); G06F 16/23 (2019.01); G06N 5/022 (2023.01);
U.S. Cl.
CPC ...
G06F 16/217 (2019.01); G06F 11/3006 (2013.01); G06F 11/3409 (2013.01); G06F 16/2365 (2019.01); G06N 5/022 (2013.01);
Abstract

A system and methods for provisioning and managing databases are disclosed. A request is received to provision a database for a software application, including a general database type and one or more parameters for the requested database. Based on the received request, the system generates database recommendations including a recommended specific type of database. The system receives a selection of one of the recommended databases and determines whether a user submitting the request is approved, based on a level of privileges or a quota. When the user is approved for the selected database, the system generates the selected databased by retrieving database code from a repository. The system updates an inventory to reflect the provisioning of the generated database. The generated database can then be managed using the system, including predicting adverse events associated with the generated database and/or predicting a need to adjust resources for the generated database.


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