International Business Machines Corporation

Luke Rowan McKenna

Peter Gareth Woodward

Bradley Matthew Gorman

Graeme Stanley Chambers

Scot W Dixon

Ashley Neil Clementi

Andrew Wilkins

Simon Teverey Huband

Simon Tevery Huband

Gavin M Corfield

Robert Ching Kong Cheung

Liam J Poli

Tee Yen Ng

Woi Leong Ang

Alexandra L Thornton

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 method and system are provided. The method includes correlating end user response time monitoring data from an end user response time monitoring system to an infrastructure ownership database. The method further includes correlating the infrastructure ownership database to an organizational structure, using a unique identifier available in both the infrastructure ownership database and the organizational structure. The method also includes automatically creating, on a display device, a custom dashboard for a user logging into the end user response time monitoring system based on correlations resulting from the correlating steps. The custom dashboard shows application performance data for applications relevant to the user based on the hierarchical level of the user in the organizational structure.

Automated generation of custom dashboards for viewing application performance data

An approach is provided that detects inbound messages being put to message queues managed by a middleware message queuing platform. The approach retrieves activity trace data corresponding to each of the inbound messages, with the activity trace data maintained by the middleware message queuing platform. The approach generates inbound event records corresponding the inbound messages based on the activity trace data. The approach then detects outbound messages retrieved from the message queues. Activity trace data corresponding to the outbound messages is retrieved and the approach generates an outbound event record for each outbound message. The approach receives a transaction request from a requestor that corresponds to a message. The approach retrieves and returns the inbound event records and outbound event records that correspond to the requested message. The retrieved event records are used for transaction tracking: to build transaction flow topologies and to report transaction performance metrics.

Message queue transaction tracking using application activity trace data

Service providers strive to maintain networks with high levels of availability and performance. To maintain the networks, the service providers measure performance and perform network diagnostics. Measuring performance and performing network diagnostics typically involves manual verification of functionality or performing individual tests between user agents. Service providers who maintain networks and service providers who use networks can dynamically run tests with operations of a signaling protocol (e.g., session initiation protocol) to diagnose network problems and determine appropriate responses. An agent manager can coordinate the dynamic tests across multiple user agents to gather more information to increase problem diagnosis accuracy.

Dynamic testing of networks

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

An approach is provided that transmits a load balance request from a first peer node to other peer nodes. Some of the peer nodes have assigned transaction tracking responsibilities. The transmitting is performed in response to identifying that the first peer node is performing at a non-optimal level. The first peer node receives responses from the other peer nodes. A determination is made as to whether to handover one or more of the first peer node's transaction tracking responsibilities. If a second peer node is identified to take some of the first peer node's responsibilities, then a handover message is sent from the first peer node to the second peer node that assigns at least one of the first peer node's assigned transaction responsibilities to the second peer node.

Peer to peer monitoring framework for transaction tracking

A computer implemented method, apparatus, and computer usable program code for the distributed monitoring of a SOAP service is provided. A test configuration file specifying a test input is distributed from a central reporting location to at least one remote data processing system that has access to a SOAP service to be tested. The test configuration file is created without accessing the SOAP service to be tested. Furthermore, the user that created the test configuration file is not allowed access to the SOAP service to be tested.

Growing community of inventors

Willetton, Australia

Luke Rowan McKenna