MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133451 A) filed by Sr University, Warangal, Telangana, on Dec. 30, 2025, for 'cloud-native microservice architecture for scalable real-time workload automation.'
Inventor(s) include Dr. Sunny B. Mohite; Dr. Sheshikala Martha; Dr. Ajinkya S. Yadav; Dr. Amolkumar N. Jadhav; Dr. Sachin B. Takmare; Dr. Sagar B. Patil; Mrs. Nasim Husen Sayyad; Mr. Shrikant Devendra Rathod; and Mr. Virendra Chandrakant Patil.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a cloud-native microservice architecture designed for scalable, real-time workload automation across distributed computing environments. The architecture addresses the limitations of traditional monolithic and rigid workload automation systems by leveraging modular microservices, containerization, orchestration, and event-driven communication to enable efficient and adaptive management of complex workflows. Each microservice encapsulates a specific functionality, including task scheduling, execution, monitoring, policy enforcement, and inter-service communication, and is deployed in lightweight containers. A container orchestration platform, such as Kubernetes, manages deployment, scaling, load balancing, and fault recovery, ensuring high availability and resilience. The architecture supports dynamic scaling of individual microservices in response to fluctuating workloads, optimizing resource utilization and minimizing operational costs. Workload automation is facilitated through an event-driven design that allows asynchronous communication between microservices via message brokers or streaming platforms, enabling low-latency, high-throughput execution of complex, multi-step workflows. An intelligent scheduling engine dynamically manages task priorities, dependencies, and resource allocation, while automated monitoring, health checks, and self-healing mechanisms enhance reliability and minimize downtime. The architecture incorporates robust security features, including encrypted communication, role-based access control, and audit logging, ensuring compliance with regulatory and organizational standards. Standardized integration interfaces allow seamless interaction with legacy systems, third-party services, and heterogeneous cloud platforms. Centralized observability provides real-time insights into system performance, workload execution, and potential bottlenecks, enabling proactive management. Overall, the invention provides a flexible, secure, and resilient solution for real-time workload automation, enabling enterprises to improve operational efficiency, reduce costs, and respond rapidly to dynamic workload demands in cloud-native environments."
Disclaimer: Curated by HT Syndication.
