Create an Incident Rule for Metric Extension ( ME ) to Monitor FRA Used in OEM

Step by step demonstrates how to create an incident rule for a Metric Extension ( ME).

In another post, we created a Metric Extension (ME) to Monitor FRA Usage on OEM. Here we need create an Incident Rule for creating an incident and notification for all events of Warning or Critical.

Subscribe to get access

Read more of this content when you subscribe today.

8) After a couple of minutes, the below alert is received:

Host=ractest1 
Target type=Cluster Database 
Target name=RACTEST
Categories=Capacity 
Message=The value of Flash Recovery Area % Used for +FRA is 80 
Severity=Warning 
Event reported time=Dec 22, 2016 3:08:43 AM EST 
Target Lifecycle Status=TEST
Comment=RACTEST CLuster
Operating System=Linux
Platform=x86_64
Associated Incident Id=209693 
Associated Incident Status=New 
Associated Incident Owner=TESTUSER
Associated Incident Acknowledged By Owner=No 
Associated Incident Priority=High 
Associated Incident Escalation Level=0 
Event Type=Metric Alert 
Event name=ME$RACRecoveryAreaSpace:FRA_PERCENT_USED 
Metric Group=ME$RACRecoveryAreaSpace
Metric=FRA_PERCENT_USED
Metric value=80
Key Value=+FRA
Key Column 1=FRA_NAME
Rule Name=RACTEST Ruleset,Flash Recovery Area Percent Used for ME 
Rule Owner=TESTUSER
Update Details:
The value of Flash Recovery Area % Used for +FRA is 80
Incident created by rule (Name = RACTEST Ruleset, Flash Recovery Area Percent Used for ME; Owner = TESTUSER).

One thought on “Create an Incident Rule for Metric Extension ( ME ) to Monitor FRA Used in OEM”

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.