MUMBAI, India, Aug. 31 -- Intellectual Property India has published a patent application (202641099516 A) filed by Dr. Gogineni Krishna Chaitanya; Tulimilli Mohanth; Eslavath Vineeth Naik; Kolla Sai Siva Rama Krishna; Bokka Venkatasatyasai Subramanya Srinivas; and Dr. Uppuluri Lakshmi Soundharya on August 18, 2026, for System And Method For Automated Cloud-Native Application Deployment Using Large Language Models, Infrastructure-As-Code, And Containerization.

Inventors include Dr. Gogineni Krishna Chaitanya; Tulimilli Mohanth; Eslavath Vineeth Naik; Kolla Sai Siva Rama Krishna; Bokka Venkatasatyasai Subramanya Srinivas; and Dr. Uppuluri Lakshmi Soundharya.

The application for the patent was published on August 28, 2026, under issue no. 35/2026.

Abstract: The present invention provides a system and method for automated cloud-native application deployment using Large Language Models (LLMs), Infrastructure-as-Code (IaC), and containerization technologies. The system automatically analyzes an application repository to identify application structure, dependencies, runtime requirements, configuration parameters, and deployment characteristics. Based on the repository analysis, an LLM-based processing module generates and/or modifies containerization artifacts, Infrastructure-as-Code configurations, deployment manifests, environment configurations, and associated cloud resources. The generated artifacts are automatically validated through syntax, dependency, security, and configuration checks before cloud infrastructure provisioning and application deployment. The system further performs automated deployment verification, application health monitoring, benchmarking, and performance assessment using predefined technical and operational metrics. Feedback obtained during validation, deployment, and benchmarking is used to iteratively refine the generated configurations and deployment artifacts. The invention thereby provides an intelligent and automated workflow for converting application source repositories into deployable cloud-native environments while reducing manual DevOps effort, configuration errors, deployment time, and infrastructure- management complexity. The system supports scalable and repeatable deployment across containerized and cloud environments and enables continuous performance evaluation and optimization of deployed applications.

Disclaimer: Curated by HT Syndication.