Key Technologies Of Cloud Service System For Computer Vision Applications

In recent years,cloud computing has developed rapidly and has become a weapon for the Internet industry to build infrastructure.The flexibility of the cloud not only saves resources,but also supports rapid business development.Therefore,it is necessary to develop cloud services and integrate product resources to solve problems such as high user costs and repeated construction of R & D teams.In this project,by integrating algorithm resources,a cloud service system for computer vision applications is implemented to provide users with excellent product solutions.In order to bear the computing pressure brought by the ever-expanding demand and develop O & M system services better,faster and stronger,this topic proposes a solution to build systems using key technologies such as message middleware and container virtualization,and Research on key technologies.This system is implemented by C ++,and uses Zero MQ and Caffe framework to design and implement a cloud service engine;then builds a container cloud based on Docker technology;second,uses Gitlab to design a continuous integration platform to achieve development,testing,and deployment automation;and finally combines Prometheus and Grafana tools Design a service monitoring system to monitor hardware resources and service performance in real time,which helps product optimization.This work mainly involves engine development,container application construction and container cloud deployment,as well as the design and implementation of continuous integration and monitoring services.This system has been put into commercial use now,and there are more and more users.It is one of the company’s core products.And successfully connected with the company’s front-end system for smart communities,smart construction sites,smart campus.At the same time,the system has been continuously tested and maintained to meet customer needs,and the solutions provided have been recognized by many companies.