Analysis and Application of Power Information System Log Based on Microservice

The rapid development of artificial intelligence technology and the advantages of efficient deployment of applications on cloud platforms allow more and more power information system applications to be deployed on the cloud, but Kubernetes is not mainly designed for deep learning, and needs to be customized for this specific field of deep learning. Optimization. This paper designs and implements a series of optimization schemes for the scenario of deploying deep learning loads on a Kubernetes cluster with a certain scale, mainly from the data processing, graphics processing unit calculation, and distributed training required by deep learning. Optimization, the optimization scheme proposed in this paper covers data processing, computing and other aspects. These technologies greatly simplify the deployment of artificial intelligence workloads on large-scale cloud-native platforms and improve operational efficiency. The application of artificial intelligence has a significant promotion effect.