CA Network Flow Analysis new version leverages Cisco technology

CA Technologies said the new version of CA Network Flow Analysis leverages Cisco technology to provide application-centric insights to better spot anomalies, improve service levels and reduce operational costs.

In a statement, CA Technologies said CA Network Flow Analysis recognizes more than 1,000 applications—quickly giving network managers deep visibility into application traffic patterns and behavior. The solution makes it easy for network managers to create profiles for their organization’s custom applications.

This insight empowers IT to pinpoint active or potential issues with service delivery, plan and validate resource needs for new applications, optimize utilization of network resources, and avoid unnecessary infrastructure costs.

CA Network Flow Analysis complements these capabilities with patented anomaly detection that learns about the network over time and automatically detects and creates alarms for a wide range of anomalies that can impact performance and create security risks. This empowers IT to proactively safeguard critical service levels while reducing the cost and headaches associated with network troubleshooting.

CA Network Flow Analysis

T-Systems, a global IT services and consulting company headquartered in Germany, uses CA Network Flow Analysis to provide application-centric monitoring as a cloud service for its customers. T-Systems ICT-Monitor extracts data without additional hardware in the customer environment and provides application response time for applications like SharePoint and others.

Christian Remer Leiter, Product Management APM at T-Systems, said: “By giving us the insight we need without depending on known ports, CA Network Flow Analysis is enabling us to stop finger-pointing and quickly resolve network-related performance issues as they arise.”

CA Network Flow Analysis leverages Cisco AVC (Application Visibility and Control) and NBAR2 (Next Generation Network-Based Application Recognition) technologies to simplify and integrate the detection and analysis of application-specific traffic. It also harvests data directly from network devices—making it more cost-effective to deploy, maintain and upgrade.

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