A Log Type specifies the structure and format in which an application generates log entries. Applications Manager supports multiple predefined log types out of the box and also allows you to create custom log types for application-specific or non-standard log formats.
While it defines how logs are structured and parsed, a log type does not initiate log collection by itself. Collection begins only after the log type is associated with a Log Profile and applied to one or more monitors.
Once AppLogs is enabled, simply create a Log Profile and associate the appropriate log type with the required servers to begin collecting, parsing, and analyzing log data.

To add a log type, navigate to AppLogs → Configurations → Log Types → Add Log Type and configure the following:
Enter the Log Type details

Provide Sample Log Entries
In the Sample Logs section, enter one or more sample log lines exactly as they appear in the log file. These samples help Applications Manager automatically detect the log structure and derive the appropriate parsing pattern.

Note: Ensure that the sample logs accurately represent the actual production log format. Incorrect, partial, or mixed-format samples may result in improper pattern derivation and inaccurate field extraction.
Log Pattern
Applications Manager automatically generates a default parsing pattern from the provided sample logs. This derived pattern determines how individual log fields—such as timestamp, severity, source, event ID, and message—are extracted, parsed, and indexed.

Sample Output
The Sample Output section displays how the selected pattern parses the sample log entry. It shows the extracted fields and their corresponding values.


This provides fine-grained control over how extracted fields are stored, indexed, and used in log analysis.
Advanced Configuration

Once configured and saved, the log type becomes available for selection when creating or editing Log Profiles and can be associated with the required servers to begin log collection.
It allows us to track crucial metrics such as response times, resource utilization, error rates, and transaction performance. The real-time monitoring alerts promptly notify us of any issues or anomalies, enabling us to take immediate action.
Reviewer Role: Research and Development