Evaluation Scheme of Data-center-platform Service Based on Link Tracking Technology

Abstract

Abstract In the data-center-platform, all data is open to the outside world in the form of microservices. Due to lack of proper management, it is difficult to find the source of the problem from the intricate service call network when the service has a problem, thus missing the golden opportunity for stop loss. In addition, if an interface suddenly increases in time, it is no longer necessary to query the time-consuming situation by service, and the performance bottleneck of the service cannot be visually analyzed. In order to solve these problems, we propose a evaluation scheme of data-center-platform service based on link tracking technology. We use appropriate data tracking tools to collect data service operation data, analyze the operation data by designing a data service evaluation model, and find problematic data services in time.