Abstract: The present disclosure relates to a system and method of generating a transaction count using filtering. Transaction data is collected for a set of transactions from an original data set. The collected transaction data is narrowed into a transaction data set by identifying a specific range of the data to be extracted. This transaction data set is filtered against one or more criteria. The transactions included in the transaction data set are then arranged into data packs in a format enabling efficient count generation. The count generation determines how many transactions meet the applied criteria. The data may then be efficiently stored in a database for later retrieval.

Abstract: A measurement associated with a component being monitored is received. An operational variance of the component is detected based, at least in part, on the measurement. A variance intensity associated with the operational variance is determined and a variance intensity threshold associated with the variance intensity is determined.

Abstract: The present disclosure relates to a system and method of generating a transaction count using filtering. Transaction data is collected for a set of transactions from an original data set. The collected transaction data is narrowed into a transaction data set by identifying a specific range of the data to be extracted. This transaction data set is filtered against one or more criteria. The transactions included in the transaction data set are then arranged into data packs in a format enabling efficient count generation. The count generation determines how many transactions meet the applied criteria. The data may then be efficiently stored in a database for later retrieval.

Abstract: A monitoring system is used to monitor extended business transactions comprised of asynchronous messages. Each message may be a request or a response of an application transaction request-response pair and may be identified with a unique identifier. The unique identifier may be used to identify two or more asynchronous messages, where each extended business transaction may be associated with one or more unique identifiers to identify messages that comprise the business transaction. The extended business transactions are completed over an extended period of time and implemented over several different machines which may or may not be in communication with each other are monitored. Alerts are generated when messages of the extended business transaction do not satisfy a threshold or other criteria, such as a time period for occurring.

Abstract: A monitoring system is used to monitor extended business transactions comprised of asynchronous messages. Each message may be a request or a response of an application transaction request-response pair and may be identified with a unique identifier. The unique identifier may be used to identify two or more asynchronous messages, where each extended business transaction may be associated with one or more unique identifiers to identify messages that comprise the business transaction. The extended business transactions are completed over an extended period of time and implemented over several different machines which may or may not be in communication with each other are monitored. Alerts are generated when messages of the extended business transaction do not satisfy a threshold or other criteria, such as a time period for occurring.