Cisco Cisco MGX-FRSM-HS2 B Serial Frame Service Module Libro blanco
© 2009 Cisco Systems, Inc. All rights reserved. This document is Cisco Public Information.
Page 8 of 12
White Paper
Figure 8. Historical Top-N Average Transaction Time Report
Reports -> Basic Reports -> Select the report and fine-tune the viewing granularity (the report must be
preprovisioned)
As seen in the preceding examples, real-time statistics and historical reports can help in narrowing down the
problem areas and isolating the problem in conjunction with information available through the WAAS Central
Manager.
Use Case 2: NAM for Reactive Troubleshooting of Cisco WAAS
Once a problem has been isolated to a particular user or branch or application, we may want to monitor that
particular entity in greater detail and granularity to further isolate the root cause of the problem. NAM offers the ability
to provision detailed trending reports on specific metrics with a granularity of one minute. These reports can also be
merged to get relative trending information, which can be valuable in troubleshooting.
In Figure 9, the rate of traffic for a particular conversation is analyzed with one-minute granularity. This can help
identify unusual patterns in traffic flow and pinpoint the time period when a connection was dropped, for example.
This can be correlated later with other network or application server events.
Figure 9. Granular Historical Conversation Traffic Rate Report
Reports -> Basic Reports -> Select the report (the report must be provisioned for troubleshooting)
In Figure 10, the average application delay, average client network delay, and average server network delay reports
have been combined for the same conversation as seen from a particular data source. This provides valuable
insights; for example, in this case, the client network delay, which used to be around 25 millisecond, began to rise to
almost 400 millisecond before the connection died down. This might point to some severe congestion or hardware
failure downstream from the NAM. Similarly, correlating multiple metrics for the same conversation provides valuable
insights.