Logs¶

In modern infrastructure, thousands of log events can be generated every minute. These logs follow specific formats, usually contain 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 in to 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 mistakenly deleted.

To improve the efficiency of fault diagnosis, comprehensively grasp the system status, and avoid being passive in emergency situations, it is crucial to achieve centralized management of logs and provide centralized retrieval and correlation analysis functions.

Through powerful log collection functions, 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 method can avoid the problems that may arise from filtering logs before sending them, ensuring that all critical information can be properly processed and analyzed.

Features¶