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Chapter 2      Using Email Security Monitor
Email Security Monitor Pages
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Cisco IronPort AsyncOS 7.3 for Email Daily Management Guide
OL-23080-01
It is important to monitor your IronPort appliance to ensure that your capacity is 
appropriate to your message volumes. Over time, volume will inevitably rise and 
appropriate monitoring will ensure that additional capacity or configuration 
changes can be applied proactively. The most effective way to monitor system 
capacity is to track overall volume, messages in the work queue and incidents of 
Resource Conservation Mode.
  •
Volume: It is important to have an understanding of the “normal” message 
volume and the “usual” spikes in your environment. Track this data over time 
to measure volume growth. You can use the Incoming Mail and Outgoing 
Mail pages to track volume over time. For more information, see 
.
  •
Work Queue: The work queue is designed to work as a “shock absorber”-- 
absorbing and filtering spam attacks and processing unusual increases in ham 
messages. However, the work queue is also the best indicator of a system 
under stress, prolonged and frequent work queue backups may indicate a 
capacity problem. You can use the WorkQueue page to track the average time 
messages spend in the work queue and the activity in your work queue. For 
more information, see 
  •
Resource Conservation Mode: When an IronPort appliance becomes 
overloaded, it will enter “Resource Conservation Mode” (RCM) and send a 
CRITICAL system alert. This is designed to protect the device and allow it to 
process any backlog of messages. Your IronPort appliance should enter RCM 
infrequently and only during a very large or unusual increase in mail volume. 
Frequent RCM alerts may be an indication that the system is becoming 
overloaded. Resource Conservation Mode is not tracked by the system 
capacity page. 
System Capacity- Workqueue
The Workqueue page shows the average time a message spends in the work queue, 
excluding any time spent in the IronPort Spam quarantine or in a system 
quarantine. You can view time periods from an hour up to one month. This 
average can help in identifying both short term events delaying mail delivery and 
identify long term trends in the workload on the system.