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Oracle10g Grid Computing with RAC
Chapter 9 -Managing and Using Oracle Grid Control

Monitoring RAC with Grid Control

For a typical RAC Database System the statistics shown in Figure 9.16 will be particularly useful.

Figure 9.16: Statistics Useful for RAC database monitoring

 As an example, let us look at the Global Cache Average Get Time screen, where some critical and warning thresholds are shown at the bottom of the screen (Figure 9.17). The period covered in the graph is for 24 hours.

Figure 9.17: Global Cache Average Get Time in the last 24 hours

The metric values can also be customized suitably. The next screen shows some of the customization details. The Manage Metric screen helps to adjust the threshold for all the metrics. Even the baselines can be created in the same screen.

Figure 9.18: Managing the Thresholds for Metrics

 Now let us look at the Alert History, which is showing the RAC related events that are in critical condition in the last 24 hours.

Figure 9.19: Managing the Thresholds for Metrics

Managing Target Groups

When managing many sets of systems, it is convenient to divide them into different logical entities. When you have tens or hundreds of hosts and databases in your grid environment, it would be easy to classify them. For example, you can group them into, say, Prod Databases in NY, Dev Databases in London, RAC cluster supporting the HR division, and the Loan Approval Web application etc.


The above text is an excerpt from:

Oracle 10g Grid & Real Application Clusters
Oracle 10g Grid Computing with RAC
ISBN 0-9744355-4-6

by Mike Ault, Madhu Tumma

 


   
  
 

 
 
 
 
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