Oracle® Enterprise Manager Oracle Collaboration Suite Metric Reference Manual 10g Release 2 (10.2) Part Number B25985-01 |
|
|
View PDF |
The E-Mail POP Service target allows you to monitor the Oracle Email System at the service level. This target is monitored by periodically performing client-like protocol operations to monitor whether the POP Service is available and responding in a reasonable time. This target must be configured manually to refer to the host name and port number that are used to connect to the Oracle Email POP Service address. The POP service can run from a single host or, in large installations, behind a network load balancer or network address translator.
This category of metrics captures the response characteristics of the Oracle Email POP service as seen by a client application.
This metric shows the time taken for the POP server to accept a network connection from a client. This metric also indicates the performance of the Oracle Net Services Listener.
Metric Summary
The following table shows how often the metric's value is collected and compared against the default thresholds. The Consecutive Number of Occurrences Preceding Notification column indicates the consecutive number of times the comparison against thresholds should hold TRUE before an alert is generated.
Table 19-1 Metric Summary Table
Target Version | Evaluation and Collection Frequency | Upload Frequency | Operator | Default Warning Threshold | Default Critical Threshold | Consecutive Number of Occurrences Preceding Notification | Alert Text |
---|---|---|---|---|---|---|---|
All Versions |
Every 5 Minutes |
After Every Sample |
> |
100 |
2000 |
2 |
Time to connect to POP service is %value% (ms). |
User Action
None. This is for informational purposes only. This metric is aggregated into the Total Time Metric.
This metric shows the time taken for a connected client to log in to the POP Server. This metric also indicates the Oracle directory server response time, because clients are authenticated against the Oracle directory server.
Metric Summary
The following table shows how often the metric's value is collected and compared against the default thresholds. The Consecutive Number of Occurrences Preceding Notification column indicates the consecutive number of times the comparison against thresholds should hold TRUE before an alert is generated.
Table 19-2 Metric Summary Table
Target Version | Evaluation and Collection Frequency | Upload Frequency | Operator | Default Warning Threshold | Default Critical Threshold | Consecutive Number of Occurrences Preceding Notification | Alert Text |
---|---|---|---|---|---|---|---|
All Versions |
Every 5 Minutes |
After Every Sample |
> |
2000 |
5000 |
2 |
Login Time is %value% (ms). |
User Action
None. This is for informational purposes only. This metric is aggregated into the Total Time Metric.
This metric shows whether clients are able to access e-mail through the POP Service. At least one IMAP service and Oracle Net Services Listener must be running in order for the IMAP Service to be available.
Metric Summary
The following table shows how often the metric's value is collected and compared against the default thresholds. The Consecutive Number of Occurrences Preceding Notification column indicates the consecutive number of times the comparison against thresholds should hold TRUE before an alert is generated.
Table 19-3 Metric Summary Table
Target Version | Evaluation and Collection Frequency | Upload Frequency | Operator | Default Warning Threshold | Default Critical Threshold | Consecutive Number of Occurrences Preceding Notification | Alert Text |
---|---|---|---|---|---|---|---|
All Versions |
Every 5 Minutes |
After Every Sample |
= |
Not Defined |
0 |
1 |
Failed to connect to POP service |
User Action
The IMAP Service logically consists of the Oracle Email POP Server and an associated Oracle Net Services Listener which listens for POP network connection requests. If this service is down, check to see if at least one IMAP server process is running. Also check to see if the Oracle Net Services Listener configured for the Oracle Email system is running.
This metric shows the time taken to retrieve a message from the Oracle Collaboration Suite Database (mailstore) through the POP server. This metric also indicates database performance.
Metric Summary
The following table shows how often the metric's value is collected and compared against the default thresholds. The Consecutive Number of Occurrences Preceding Notification column indicates the consecutive number of times the comparison against thresholds should hold TRUE before an alert is generated.
Table 19-4 Metric Summary Table
Target Version | Evaluation and Collection Frequency | Upload Frequency | Operator | Default Warning Threshold | Default Critical Threshold | Consecutive Number of Occurrences Preceding Notification | Alert Text |
---|---|---|---|---|---|---|---|
All Versions |
Every 5 Minutes |
After Every Sample |
> |
2000 |
5000 |
2 |
Time taken to read an e-mail time is %value% (ms). |
User Action
None. This is for informational purposes only. This metric is aggregated into the Total Time Metric.
This metric shows the total time taken to complete one simulated POP session. This metric is directly dependent on the performance characteristics of the POP Server target.
Metric Summary
The following table shows how often the metric's value is collected and compared against the default thresholds. The Consecutive Number of Occurrences Preceding Notification column indicates the consecutive number of times the comparison against thresholds should hold TRUE before an alert is generated.
Table 19-5 Metric Summary Table
Target Version | Evaluation and Collection Frequency | Upload Frequency | Operator | Default Warning Threshold | Default Critical Threshold | Consecutive Number of Occurrences Preceding Notification | Alert Text |
---|---|---|---|---|---|---|---|
All Versions |
Every 5 Minutes |
After Every Sample |
> |
5000 |
10000 |
2 |
Total Time to read an e-mail is %value% (ms). |
User Action
To reduce the total response time, tune the POP servers after observing their performance levels. You can also identify which operations in a client session are slower by looking at the other columns in this metric.