Logs¶

In modern infrastructure, thousands of log events may be generated every minute. These logs follow specific formats, usually include timestamps, and are generated by servers, outputting to different files such as system logs, application logs, and security logs. However, logs are scattered across various servers, and once a system failure occurs, it is necessary to log into each server to check the logs to determine the cause of the failure, which significantly increases the complexity of troubleshooting.

Faced with such a large amount of data, it is necessary to decide which logs should be sent to a log management solution and which should be archived. If logs are filtered before being sent, critical information may be missed or valuable data may be accidentally deleted.

To improve fault diagnosis efficiency, comprehensively grasp the system status, and avoid passive responses in emergencies, it is crucial to achieve centralized log management and provide centralized retrieval and correlation analysis functions.

Through powerful log collection capabilities, log data is uniformly reported to the workspace, and subsequent operations such as centralized storage, auditing, monitoring, alerting, analysis, and export of collected logs are performed, simplifying the log management process. This approach avoids the problems that may arise from filtering logs before sending them, ensuring that all critical information is properly processed and analyzed.

Features¶