Prelert provides valuable insights that accelerate troubleshooting efforts by detecting behaviors hidden in data spread across multiple monitoring systems.
Framingham, MA (PRWEB) July 25, 2012
Prelert® (http://www.prelert.com), provider of Machine Intelligence software for infrastructure and application performance management today announced an integration adapter for CA Technologies’ Application Delivery Analysis product. Users can now cross-correlate this rich data source with logs, events and application performance metrics collected from other management sources to identify the anomalous behavior patterns that are the early warning signs of developing problems and diagnose them before users are affected.
“Our research shows a key correlation between an organization's ability to make maximum use of application performance data and the time they spend troubleshooting," said Bojan Simic, President and Principal Analyst at TRAC Research. "Prelert provides valuable insights that accelerate troubleshooting efforts by detecting behaviors hidden in data spread across multiple monitoring systems."
The complex environments supporting today’s online applications and services generate data in volumes that far exceed the practical limits of human analysis. As a result, a large percentage of IT expert man-hours are wasted in attempts to manually search and cross correlate data from disparate sources. Prelert replaces this manual effort with machine learning predictive analytics freeing these resources to develop new products and provide higher service levels at a lower cost.
"We consistently see IT teams overwhelmed with machine data and underwhelmed with answers,” explains Mark Jaffe, Prelert CEO. “This integration with CA Application Delivery Analysis is another step to answering that challenge with easily consumed, Machine Intelligence software.”
CA Application Delivery Analysis (formerly known as NetQoS SuperAgent) monitors network-based application traffic to measure response times between infrastructure components and packet-level diagnostic data, enabling organizations to understand how application, network and infrastructure components affect service quality, how effective the network is at delivering applications to users and how well the hybrid-cloud infrastructure is delivering against business objectives and SLAs.
Prelert provides highly advanced, but easily deployed Machine Intelligence software that automatically finds answers to IT performance issues hidden in vast amounts of machine data.
Support for the adapter is available in Prelert Real-Time, the enterprise version, as well as Prelert Diagnostic, the downloadable performance troubleshooting version.