Big data concept to address performance aware infrastructure monitoring challenge for hybrid cloud

Abstract

There has been increasing complexity of cloud infrastructure to sustain the growth of enterprise applications and so as the need to constantly monitor loads and resource utilization. Numerous sophisticated techniques are applied to achieve a unified observation but disparate environments, sources and policies restrain the objective to be achieved using a standard methodology. The paper tries to present a model for standardizing the monitoring platform for applications which are highly environment aware and are restraint by governance using a novel algorithmic approach. The models tries to instrument APIs to monitor single to multitude of parameters to cover the transactions across geography. The model also covers a timeline for evolving big data analytic methods for application performance monitoring systems for environment based applications covering the high data rates and computation requirements. The concept of Data Lake brings a unique dimension to the model and resource utilization and performance metrics for varied workloads and also configuration complexities.