ITWire

The Compuware Outage Analyzer service correlates more than eight billion data points per day that have been collected by the Compuware Gomez Performance Monitoring Network in order to deliver real-time information on specific outages including the scope, duration and probable cause of the event.

Features of Outage Analyzer include incident visualisation, incident filtering and searching (eg, to provide a view of incidents that might affect the organisation's own applications), and alerting via Twitter and RSS.

The service uses a proprietary anomaly detection engine that automatically identifies availability issues with third-party web services that are impacting performance of the web across the globe.

"Since Outage Analyzer has been up and running, we've seen an average of about 200 third-party web service outages a day," said Steve Tack, VP product management, Compuware APM business unit.

"Outage Analyzer is just the beginning. Our big data platform, propriety correlation and anomaly detection algorithms, and intuitive visualisations of issues with cloud and third-party web services are key building-blocks to delivering a new generation of answer-centric APM."

Tim Grieser, program VP, enterprise system management software at IDC, said "Outage Analyzer's ability to analyse and visualise large masses of data, with automated anomaly detection, can help IT and business users better understand the sources and causes of outages in third-party web services."