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Introduction Scope and Purpose Visual UpTime Components Case Study Sectionalization Troubleshooting Traffic Analysis Congestion Delay Analysis Tip Of The IcebergConclusions Contact Visual Networks |
Visual UpTime:
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The Tip of the IcebergOur case study subject company has had the Visual UpTime WAN Service Level Management System for four months, and the principle use of the product thus far has been to support daily operations. The company’s ops staff is only beginning to accumulate a long-term network performance database sufficient to provide a picture of how their FR WAN access lines are performing, and whether the information rate commitments are correctly sized. We speculate that the Long Term Planning and Reporting toolset will prove as useful to the subject customer as the toolsets we have already described. Initial observations from the network performance database at hand suggest that the subject company has done a commendable job engineering and provisioning its WAN. Traffic utilization and throughput reports generated from the database confirm that the outbound flows from information distribution centers to brokerage locations are between 16-22 Kbps. The 32 Kbps CIR provisioned for all DDS links provides a conservative comfort zone.
Figure 13. Traffic Utilization report We have already discussed the Burst Analysis report. Additional reports that we gleaned from the network performance database and feel are especially worthy of note include:
Network administrators and NOC staff cannot afford to waste time poring over volumes of disaggregated network performance data. Many enterprises have developed custom solutions to aggregate, filter, and process performance data collected using commercial NMS’s. The most commonly sought-after network performance reports are readily available from the Long Term Planning and Reporting toolset. These built-in reporting features help increase productivity because skilled network staff can devote time to analyzing the consequences of network performance instead of developing tools to perform data aggregation. |