Abstract: Prediction logic analyzes previous data usage activities of a customer process running on a host machine to generate a first prediction indicating that the customer process will request a first data set at a first time. The prediction logic retrieves the first data set from long-term storage and loads the first data set into memory on the host machine in advance of the first time in order to provide the customer process with access to first data set in the memory during a period between the first time and a second time. The prediction logic further generates a second prediction indicating that the customer process will not access the first data set for a threshold period of time after the second time and stores the first data set in the long-term storage at the second time.

Abstract: This disclosure describes systems and methods for dynamically and automatically adapting the level of data logging that occurs within a network of nodes, identifying causes of exceptions that occur within the network and resolving those causes to ensure that the network continues operating efficiently. A monitoring service may automatically increase/decrease data logging of various nodes within the network as it progresses through levels of a network searching for a node that is the source of a cause of an exception. Once identified, the monitoring service may process the logged data and either automatically resolve the cause of the exception or provide information to an operator for resolution.