Kaseya leverages an architecture designed for distributed analytics, data processing and data gathering that fittingly corresponds to the task of monitoring the infrastructures of dispersed, heterogeneous IT environments. The platform features SLA monitoring, issue identification and resolution with respect to application performance and machine learning-based analytics that identify true anomalies in traffic or usage related patterns as opposed to organic variations and cycles. Given that the current state of enterprise cloud computing almost invariably features some combination of on premise, private cloud and public cloud deployments, Kaseya Traverse is likely to be well received by customers that are seeking a centralized monitoring, reporting and analytics solution in contrast to an amalgamation of discrete reporting applications. Moreover, its ease of deployment as a SaaS application and distributed computing capabilities render it a particularly attractive cloud monitoring tool insofar as its architecture is designed with the specific needs of heterogeneous cloud computing environments in mind.