Prelert – CA Technologies
Machine Learning Predictive Analytics for CA Service Assurance Products
Prelert is a layer of Self-Learning Predictive IT Analytics that eliminates 90% of the operations cost associated with identifying and resolving application problems and ‘training’ your application performance and infrastructure monitoring systems.
Easily integrated with your existing system it eliminates the burden of defining and maintaining thresholds, and significantly reduces the need for rules, management templates and dashboards while identifying both the occurrence and the root cause of critical application problems as they develop and before users are impacted.
Based on the 3rd generation of Artificial Intelligence Machine Learning Systems, Prelert is simply more powerful than competitive solutions. You get to process logs, events and time series data, from multiple sources either synchronously or asynch.
Prelert’s Machine Learning Predictive Analytics complement CA SA products integrate with and cross correlates data from Introscope, CEM, SOI and NetQos.
Prelert self-learns the behaviors and inter-relationships of tens of thousands of metrics and log notifcations reducing deployment and tuning efforts by 90%. Prelert automatically identifies anomalous activities and problems as they develop, often predictively, and before they can impact users.
When problems arise, Prelert automatically distills tons of available data to the few metrics and notifcations directly related to the issue thereby reducing diagnostics times by 90%.
Installs and integrates with CA APM (Introscope and NetQos) in less than an hour. Immediately processes 2 days of historical data to self-learn the behavior patterns of the monitored environment. Cross correlates tens of thousands of metrics in real-time to isolate the few metrics and notifications related to a problem thereby speeding diagnostic processes by 90%. Requires no rules, thresholds, data relationship definitions or templates.
Unique Business Value
Prelert acclerates the deployment and time to value of monitoring systems in complex IT environments. Advanced machine learning and predictive analytics technology minimizes the burden on expert personnel to tune management tools to the monitored environment or attempt to manually cross correlate tens of thousands of metrics to resolve problems. Deployments, expansions to new applications and diagnostic times are all reduced by 90%.
Americas (US only)
945 Concord St.,
Framingham, MA 01801
Source: CA Technologies