Abstract: According to one or more embodiments of the present invention a computer-implemented method includes receiving a transaction-data for a transaction that occurs in a particular time-interval. The method further includes comparing a set of parameters from the transaction-data with a performance profile associated with the particular time-interval. The method further includes based on determining that the transaction is a deviant transaction, forwarding the transaction-data to a first data collector. The method further includes based on determining that the transaction is a conventional transaction, forwarding the transaction-data to a second data collector.

Abstract: A computer-implemented method for recommending a monitoring interval in provided. A non-limiting example of the computer-implemented method includes receiving, by a processor, monitoring data at an initial monitoring interval and calculating, by the processor, a set of aggregation data from the monitoring data including a first subset of aggregation data at a first interval of the initial monitoring interval. The method calculates, by the processor, a first density score for the first subset of aggregation data and a first indicator score for the first subset of aggregation data and provides, by the processor, the first interval as a recommended interval when the first density score does not exceed a density threshold and the first indicator threshold does not exceed an indicator threshold.

Abstract: A computer-implemented method includes receiving, at a datastore having a plurality of records of a transaction-monitoring system, a first record representing a first instance of a transaction. The datastore includes a first layer and a second layer. A first record hash code, based on the first record, is compared to a template hash code set that includes one or more template hash codes, where each template hash code corresponds to a respective transaction in a set of one or more known transactions. The first record is inserted into the first layer of the datastore. The first record is inserted into the second layer of the datastore, based at least in part on the first record hash code not being found in the template hash code set.

Abstract: A computer-implemented method for recommending a monitoring interval in provided. A non-limiting example of the computer-implemented method includes receiving, by a processor, monitoring data at an initial monitoring interval and calculating, by the processor, a set of aggregation data from the monitoring data including a first subset of aggregation data at a first interval of the initial monitoring interval. The method calculates, by the processor, a first density score for the first subset of aggregation data and a first indicator score for the first subset of aggregation data and provides, by the processor, the first interval as a recommended interval when the first density score does not exceed a density threshold and the first indicator threshold does not exceed an indicator threshold.

Abstract: An on-demand key performance indicator (KPI) monitoring system includes an on-demand KPI structure module configured to dynamically generate an on-demand data structure of a KPI based on a KPI request input to a user interface. The KPI request includes a one or more targeted KPI objects. An agent collector module generates an on-demand KPI collection strategy based on the on-demand data structure. An object monitoring module collects KPI objects based on the on-demand KPI collection strategy. The collected KPI objects include the targeted KPI objects requested by the user, while excluding non-targeted KPI objects excluded from the user's KPI request.

Abstract: According to one or more embodiments of the present invention a computer-implemented method includes receiving a transaction-data for a transaction that occurs in a particular time-interval. The method further includes comparing a set of parameters from the transaction-data with a performance profile associated with the particular time-interval. The method further includes based on determining that the transaction is a deviant transaction, forwarding the transaction-data to a first data collector. The method further includes based on determining that the transaction is a conventional transaction, forwarding the transaction-data to a second data collector.

Abstract: A computer-implemented method includes receiving, at a datastore having a plurality of records of a transaction-monitoring system, a first record representing a first instance of a transaction. The datastore includes a first layer and a second layer. A first record hash code, based on the first record, is compared to a template hash code set that includes one or more template hash codes, where each template hash code corresponds to a respective transaction in a set of one or more known transactions. The first record is inserted into the first layer of the datastore. The first record is inserted into the second layer of the datastore, based at least in part on the first record hash code not being found in the template hash code set.