With Dynatrace Log Monitoring, you gain direct access to the log content of all your system's mission-critical processes. It's easy to search for specific log messages that you're interested in. Log content can be filtered based on keywords or timeframe. You can even analyze multiple log files simultaneously—even when log files are stored across multiple hosts.
Most significantly, Dynatrace artificial intelligence automatically correlates relevant log messages with any problems that it detects in your environment. Relevant log messages that are associated with problems are then factored into problem root-cause analysis.
To enable Dynatrace Log Monitoring, just make sure that you're running the latest version of Dynatrace. All new log content from important processes will then be auto-detected and monitored. There's no need to copy or export log content to external storage to facilitate analysis.
Access logs during problem analysis
When Dynatrace detects that a certain process is the root cause of a detected problem, an Analyze process logs link is displayed on the corresponding Problem page.
Using the Log viewer, you can directly analyze log content and find problematic log messages that will help you understand the root cause of problems detected within monitored processes.
Browse for process logs
The Log viewer enables you to browse through process logs, manually selecting individual logs for ad hoc analysis. Alternatively, you can search across selected process-log content using keyword search and filtering. Search queries can be saved for reuse later. You can even opt to have log results returned to you raw or in aggregated form.
Search log files
Extensible and easy to learn, the Dynatrace search query language enables you to filter out all log lines except for those that are of interest to you.
Create custom metrics for your logs
Log monitoring enables you to create a metric based on your monitored logs. With such a metric, you can have Dynatrace continuously scan your monitored logs and display a chart of that metric on your dashboard so that any pattern changes that occur in your custom metric will be clearly visible.