Programmatic root cause analysis for application performance management

One or more processor readable storage devices having processor readable code embodied on the processor readable storage devices, the processor readable code for programming one or more processors to perform a method comprising:

• monitoring sets of code as they are executed;
• collecting data about a set of transactions corresponding to the sets of code during execution, each transaction including a plurality of components associated with a plurality of component types, the data including time series data for each component type based on data corresponding to the plurality of components of the each transaction;
• determining a component threshold for the each component type dynamically based on execution times of the plurality of components of the each transaction during monitoring;
• determining whether transactions have execution times beyond a transaction threshold;
• for each transaction having an execution time beyond the transaction threshold, determining whether the time series data for each component is outside a component threshold for a corresponding component type;
• and
• automatically reporting the each transaction having an execution time beyond the transaction threshold and automatically reporting the each component for said each transaction that has the time series data that is outside the component threshold for the corresponding component type.

A computer-implemented method of monitoring software execution, comprising:

• monitoring sets of code as they are executed;
• collecting data about a set of transactions corresponding to the sets of code during execution, each transaction including a plurality of components associated with a plurality of component types, the data including time series data for each component type based on execution times corresponding to the plurality of components of each transaction;
• dynamically determining a component threshold for the each component type using the time series data for the each component type while monitoring the sets of code;
• comparing an execution time of the each component of the each transaction with the component threshold for a corresponding component type;
• identifying components having an execution time beyond the component threshold for their corresponding component type;
• and
• automatically identifying and reporting components having an execution time beyond the component threshold for their corresponding component type.