Design and Research of Adaptive Filter Microservices Based on Cloud-Native Architecture

The aim of this paper is to explore the design and implementation of an adaptive filter microservice based on cloud-native architecture. By leveraging the advantages of cloud-native technologies, such as containerization, automated deployment, and scalability, we design an adaptive filter microservice that is high-performance, flexible, and easy to manage. The service is able to dynamically adjust filter parameters based on real-time data to meet the needs of different application scenarios.