Monitoring application services becomes more and more a transverse key activity in information systems. Beyond traditional system administration and load control, new activities such as autonomic management and decision making systems raise the stakes over monitoring requirements. In this paper, we present ADAMO, an adaptive monitoring framework that tackles different quality of information (QoI)-aware data queries over dynamic data streams and transform them into probe configuration settings under resource constraints. The framework relies on a constraint-solving approach as well as on a component-based approach in order to provide static and dynamic mechanisms with flexible data access for multiple clients with different QoI needs, as well as generation and configuration of QoS and QoI handling components. The monitoring framework also adapts to resource constraints.