XpoLog's Analytics console analyzes log data for the following two types of problems:
- Predefined Errors – Detects problems that have been predefined as a saved search. Severity can be assigned to saved searches in XpoLog Search. Once a severity is assigned to a saved search, it will be presented in the Analytics console as a predefined problems.
- Auto-Detected Errors – Uses Semantic Content Analysis. Based on semantic analysis of the logs' contents and predefined knowledgebaseknowledge-base, XpoLog Analytics detects in the logs thousands of errors and events that contain information related to a fault (for example, events containing the word failure or error). Analytics immediately generates a very high percentage of the problems in the logs of any application, without any configuration.
If activated, Servers Metrics Analysis displays the CPU, memory, and disk problems on the source servers from which the logs originated. The problems definition for metrics can be easily customized to meet the environmental constraints. In In addition, the Analytics console runs statistical analysis on multiple use cases to identify unusual behavior in the Application logs. Problems such as high/low logging activity, applications/servers that stop logging normally, an IP that extensively calls the same URL, are captured and presented automatically.