Microservice Architecture

Microservice architecture is a software design approach that structures applications as collections of small, independent services, aiming to improve scalability, maintainability, and flexibility. Current research heavily focuses on using AI and machine learning, particularly employing models like transformers, graph neural networks, and reinforcement learning, to address challenges in resource management, anomaly detection, and root cause analysis within these complex systems. This research is significant because it directly impacts the reliability, efficiency, and cost-effectiveness of cloud-native applications, driving advancements in AIOps and automated system management.