Automated Early Warning Technology for the NOC
Summary of information on this page:
Reduce MTTR and Increase Application Availability with Automated Analytics
NetScout’s nGenius Analytics for Flows software helps network managers reduce mean time to repair and increase application availability by automating the process of detecting and diagnosing performance problems. The benefits of this automated and self-adjusting approach include:
• Increased coverage for identification of performance anomalies |
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Monitors for abnormal increases and decreases in link and application utilization, application response time and VoIP quality |
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Detects subtle, long-term network performance drifts that are virtually impossible to catch manually |
• Reduce Mean Time To Repair |
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Automates the identification of customer-impacting problems that may have been missed in the past |
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Generates fewer, more intelligent alerts to focus network troubleshooting efforts on most critical issues |
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Facilitates faster diagnosis and more accurate interpretation of performance issues to shorten costly downtime |
The Need for Automated Analytics
The already time-consuming and frustrating task of accurately identifying and diagnosing network and application performance issues will continue to intensify as the application fabric infrastructure becomes more complex and interdependent due to the growing use of compound, multi-tier, and Service Oriented Architecture-based applications. To maintain high IT service levels in the face of these looming changes, operation teams will need to deploy technologies that provide early warning of impending performance problems by automating the detection and aiding the diagnosis of network and application flow anomalies.
Detecting Performance Anomalies with nGenius Analytics for Flows
NetScout’s award-winning Progressive Analytics technology provides a top-down approach for identifying and qualifying anomalies that affect service performance. This gives network operators a major advantage in preventing issues before they affect the business or more quickly resolving service disruptions when they occur.
nGenius® Analytics addresses these challenges by applying patented, statistical behavior modeling and anomaly detection to NetScout’s CDM-based application flow data to deliver early warnings of performance issues. The product automatically learns a network’s behavior patterns and identifies performance anomalies without the manual configuration and guesswork of setting thresholds. By linking the alarms with detailed diagnostics information, the network and operations managers can act to resolve issues before end users are impacted.
The benefits of using nGenius Analytics for Flows automated approach to anomaly detection include the ability to:
- Identify abnormal increases and decreases in physical and virtual link utilization, application utilization, application response time and VoIP quality.
- Associate anomalous traffic with offending applications to focus troubleshooting efforts and shorten mean time to repair.
- Identify short-lived problems, intermediate-term issues, and hard-to-catch, long-term performance drifts.
- Provide increased visibility into all monitored interfaces, including trunks, virtual interfaces, sites and QoS levels.
- Combine related anomalies into a single, intelligent alert to reduce the number of alerts staff are forced to wade through.
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| The Alert Details tab provides information on the problem severity, problem type, interfaces affected, time the problem was detected and a detailed description of the problem. Additionally, it provides graphical evidence of the events leading up to the anomaly. Double clicking on the Evidence Chart brings you into nGenius Performance Manager for additional troubleshooting details.
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Related Documents
Enabling Products
To find out more information about NetScout’s Sniffer and nGenius products click on the appropriate category links below:
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