perfservmon

Sample Checks First run the following check to collect the perfservlet data from WAS Cell WAS_Cell_name: Nagios Path/libexec/perfservmon.py -C WAS_Cell_name retrieve -N Perfservlet_Host -P Perfservlet_Port Optionally in case you use https and/or basic auth credentials to connect to Perfservlet Application run the following check: Nagios_Path/libexec/perfservmon.py -C WAS_Cell_name retrieve -N Perfservlet_Host -P Perfservlet_Port -H https [ --ignorecert ] -u userid -p passwd You may want to perform the check above with a custom interval(e.g. 3 minutes) to collect fresh data from Cell. Then add Monitoring Checks like the following: - Check the Total live http sessions of Servlets of the Server ServerName, get critical alert when 10000, warning when 5000. Nagios Path/libexec/perfservmon.py -C WAS_Cell_name show -n NodeName -s ServerName -M LiveSessions -c 10000 -w 5000 -Check the usage of WebContainer Thread Pool of Server ServerName, get critical alert when over 90%, warning when over 70%. Nagios Path/libexec/perfservmon.py -C WAS_Cell_name show -n NodeName -s ServerName -M WebContainer -c 90 -w 70 -Check the JVM Heap usage of Server ServerName, get critical alert when over 90%, warning when over 70%. Nagios Path/libexec/perfservmon.py -C WAS_Cell_name show -n NodeName -s ServerName -M Heap -c 90 -w 70 -Check the usage of the Connection Pools available for Server ServerName, get critical alert when over 90%, warning when over 70%. Nagios Path/libexec/perfservmon.py -C WAS_Cell_name show -n NodeName -s ServerName -M DBConnectionPoolPercentUsed -c 90 -w 70

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