International Business Machines Corporation

Ashley Neil Clementi

Paul Fredric Klein

Jean-Jacques Heler

Luke Rowan McKenna

Andrew Wilkins

Gavin M Corfield

Graeme Stanley Chambers

Tee Yen Ng

Woi Leong Ang

Liam J Poli

Robert Ching Kong Cheung

A computer-implemented method includes identifying one or more instrumentation code segments and identifying one or more client experience indications. The one or more client experience indications are associated with a client computer. The computer-implemented method further includes determining a data gathering scenario based on the one or more client experience indications. A corresponding computer program product and computer system are also disclosed.

Dynamic determination of instrumentation code based on client experience

A first measurement point is received from a first monitoring agent. The first measurement point includes a first timestamp and a first transaction attribute. The first timestamp is stored. A second measurement point is received from a second monitoring agent. The second measurement point includes a second timestamp and a second transaction attribute. The second timestamp is stored.

Processing transaction timestamps

A first subset of information about a transaction is received from a first application. The first application has a first monitoring technique. A second subset of information about the transaction is received from a second application. The second application has a second monitoring technique that is different from the first monitoring technique. The first subset of information is combined with the second subset of information to produce composite information about the transaction.

Combining monitoring techniques

A first unique identifier is received from a first monitoring agent. The first unique identifier may be based on first natural data associated with a transaction. A second unique identifier is received from a second monitoring agent. The second unique identifier may be based on second natural data associated with the transaction. The first unique identifier may be correlated with the second unique identifier to monitor the transaction through a plurality of application environments.

Linking transactions

An approach is provided that receives a set of tracking data from a monitored activity. The set of tracking data includes name-value pairs. The received set name-value pairs are compared with context masks. Each context mask include one or more name-filter pairs. One of the sets of context masks is selected in response to determining that the incoming name-value pairs matches the mask name-filter pairs of the selected context mask. Name-value pairs are selected based upon the selected context mask. The selected name-value pairs are then stored in an aggregate data store. If the received set of tracking data fails to match at least one of the name-filter pairs then the received set of tracking data is disregarded and none of the name-value pairs are stored in the aggregate data store.

Processing and presenting multi-dimensioned transaction tracking data

A first transaction attribute is received from a first monitoring agent. The first transaction attribute includes a plurality of identifiers and is associated with a transaction. A second transaction attribute is received from a second monitoring agent. The second transaction attribute is associated with the transaction. The transaction is monitored through a plurality of application environments by associating at least a portion of the first transaction attribute with at least a portion of the second transaction attribute.

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Karrinyup, Australia

Ashley Neil Clementi