Cloud computing architecture for high-volume monitoring processing
Mikhail M. Rovnyagin, Viktor V. Odintsev, Dmitrii Y. Fedin, Andrey V. Kuzmin · 2018
Monitoring systems have historically been used to obtain, process and display metrics coming from applications or devices. Now providers are massively reoriented to SDN / NFV infrastructure. An increasing number of applications operate on a micro-service architecture. Thus, in addition to the natural evolutionary growth of the collected metrics number, there is an abrupt increase in connection with the change of technology. There is a need for correlation analysis, which does not allow scaling of old monitoring systems using fragmentation. This article proposes a linearly scalable architecture of the monitoring system. The proposed approach makes it possible to increase the reliability of processing metrics and to perform cross-domain correlation analysis with the use of computable metrics. The features of real-time control system construction based on the proposed architecture are also described.