14. A method for dynamically modeling performance data in a computing environment, the method comprising: by a computer system comprising computer hardware: automatically receiving performance data collected by at least one agent module from multiple applications executing in multiple servers in a computing environment, the performance data associated with different time series metrics about the multiple servers and the multiple applications executing in the multiple servers, and the performance data including a performance data structure representing topological relationships between the different time series metrics about the multiple servers and the multiple applications executing in the multiple servers; automatically accessing a first model template, wherein a structure of the first model template reflects an expected structure of the performance data; automatically generating a modified model based at least in part on the performance data associated with matches between at least a portion of the performance data structure and at least a portion of the expected structure, the modified model including a plurality of topology objects; and storing the modified model in a data repository.
14. A method for dynamically modeling performance data in a computing environment, the method comprising: by a computer system comprising computer hardware: automatically receiving performance data collected by at least one agent module from multiple applications executing in multiple servers in a computing environment, the performance data associated with different time series metrics about the multiple servers and the multiple applications executing in the multiple servers, and the performance data including a performance data structure representing topological relationships between the different time series metrics about the multiple servers and the multiple applications executing in the multiple servers; automatically accessing a first model template, wherein a structure of the first model template reflects an expected structure of the performance data; automatically generating a modified model based at least in part on the performance data associated with matches between at least a portion of the performance data structure and at least a portion of the expected structure, the modified model including a plurality of topology objects; and storing the modified model in a data repository. 15. The method of claim 14 , wherein the performance data includes a data tree having a plurality of data tree nodes.