Network bandwidth Congestion
Network congestion can occur in many ways. Most often, it is caused by high bandwidth usage in specific segments or over a thin connection such as a remote office. Bandwidth congestion can happen by the presence of peer-to-peer file sharing programs, huge data transfers, unscheduled backups, poorly configured data routing (such as email), large email attachments, poor broadcasts and multicasts, etc.
Another form of congestion can occur due to the spraying of small but numerous packets. This can occur from ARP storms, worm propagation, scanning activities, etc.
All of the reporting in nLive brings our both types of traffic-metrics — traffic volume as well as event count. Therefore, congestion can be immediately spotted from charts and graphs. In additions, there are several 'problem detectors' that will be triggered when congestion causing activities occur. So one can see them in the problems tables and reports. As a third source of this information, one can see high 'scores' for machines that are involved in this sort of activities. Drilling down using the mouse on any of these user interface elements can help you quickly get to the bottom of it.
Example Solutions
The following are basic write ups on how to solve certain network problems using nLive. More detailed step by spet procedures are given towards teh end of the user manual, which is available in the Learning Center.Traffic visibility
Network Traffic VisualizationReal Time Traffic Analysis
Locating Network and Department Top Talkers
Network Applications and Ports
Network bandwidth Congestion
Traffic Reporting
Network Security IssuesNetwork Traffic Trend Analysis
Network Traffic Search and Forensic Analysis
Executive Reporting of Network Traffic
Regulatory compliance
Bandwidth Monitoring and Utilization
Locating Bandwidth AbusersApplication Bandwidth Usage
Wide Area Network Bandwidth
Local Area Network Bandwidth
Abnormal Traffic and Anomaly Detection
Abnormal Traffic DeterminationEmployee Misuse Detection
Locating Malware Infections
Network Fault Locating
Data Leak or Theft