Research on Intelligent Cloud Native Architecture and Key Technologies Based on DevOps Concept
Lei Wen, Qian Hengshun, Wenpan Liu · Procedia Computer Science · 2022
With the rapid development of information technology and the continuous upgrading of software R&D framework, the communication and cooperation among development, operation and maintenance and QA in traditional R&D becomes more and more difficult. As a new concept of software R&D management, DevOps has been paid attention to and used by more and more IT companies by promoting the cooperative work of development, operation and maintenance and QA. Based on the concept of DevOps, this paper studies the native architecture and key technologies of intelligent cloud. Through the key technologies of intelligent operation and maintenance technology, such as trend prediction, data anomaly detection and fault location diagnosis, it can effectively solve the problems existing in traditional operation and maintenance methods when facing the cloud native system. The research results show that, combined with the deep learning model in intelligent operation and maintenance technology, the trend prediction algorithm is used in real-time monitoring system to predict the distribution and scheduling of microservice resources according to historical data, which is generally 30.28% higher than that before use. Cloud native technology can provide more economical and convenient deployment and operation methods for communication operators' networks. With the promotion of operators' cloud network convergence, cloud native technology will become the core technology and key starting point of operators' network cloudization.