![]() Logtail failed to register the log listener in Linux. For more information, see Configure the startup parameters of Logtail. Increase the upper limits of CPU utilization and memory usage. Logtail stops responding because the resource usage of the server on which Logtail runs exceeds the upper limit. If this issue occurs due to other causes, submit a ticket. In most cases, this issue occurs if the specified regular expression fails to extract a part of the file path as a topic. In modes such as JSON and delimiter, Logtail failed to parse logs because the log format did not conform to the defined format. In full regex mode, the log content does not match the specified regular expression.Ĭopy the sample log in the error details to generate a new regular expression. For more information, see What do I do if I want to use multiple Logtail configurations to collect logs from a log file?. Modify configurations to allow Logtail to collect logs from a log file by using multiple Logtail configurations. ![]() Delete redundant Logtail configurations.Note You can use multiple Logtail configurations to collect the standard output (stdout) or standard errors (stderr) of Docker containers. If you use multiple Logtail configurations to collect logs from a log file, only one Logtail configuration takes effect. * as the regular expression.īy default, you can use only one Logtail configuration to collect logs from a log file. If you want to collect single-line logs, you can specify. Logtail failed to split logs into lines because the regular expression that is specified to match the beginning of the first line of a log did not match the content of the logs.Ĭheck whether the regular expression is correct. We recommend that you use the root account. Logtail does not have the permissions to read the specified file.Ĭheck whether the startup account of Logtail on the server is root. ErrorĪfter a data packet is generated, the system waits for a long period of time to send the packet.Ĭheck whether the system sends packets as expected, the data volume exceeds the default limit, the quota is insufficient, or network errors occur. If you encounter other errors that are not described in this topic, submit a ticket.
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