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.
Patent No.:
Date of Patent:
Feb. 13, 2024
Filed:
Mar. 31, 2022
Accenture Global Solutions Limited, Dublin, IE;
Rajendra Prasad Tanniru, Basking Ridge, NJ (US);
Aditi Kulkarni, Bangalore, IN;
Koushik M. Vijayaraghavan, Chennai, IN;
Vijeth Srinivas Hegde, Bangalore, IN;
Ravindra Kabbinale, Bangalore, IN;
Sreenath Kothavoor, Kannur, IN;
Amrutha Pervody Bhat, Bangalore, IN;
Meghana B Srinath, Bangalore, IN;
Ravi Kiran Singh, Maharashtra, IN;
Dilip Krishnan, Bangalore, IN;
Naveen Raj K P, Kasaragod, IN;
Sumanth Channegowda, Mandya, IN;
Vinay Chamarthi, Andhra Pradesh, IN;
Lakshmi Srinivasan, Bangalore, IN;
Santhosh Mv, Kasaragod, IN;
Accenture Global Solutions Limited, Dublin, IE;
Abstract
In some implementations, a device may generate, based at least in part on a first set of inputs, a serverless software development environment associated with a set of cloud resources. The device may generate, based at least in part on a first machine learning model, a technology stack recommendation having a set of associated tools for performing a software development task. The device may instantiate the selected technology stack in the serverless software development environment and generate a set of applications based at least in part on executing the set of tools. The device may deploy the set of applications in one or more serverless application environments. The device may use machine learning to observe deployed applications, detect hidden anomalies, and perform root-cause analysis, thereby providing a lean and sustainable serverless environment.