Comments (2)
🤖
Hello @keington! 👋
Nice to meet you! I'm Dosu, a bot here to assist you with bugs, answer your questions, and help guide you through the process of becoming a contributor. While we're waiting for a human maintainer to get back to you, feel free to let me know if there's anything else you need help with. Let's make your experience with Kratos as smooth as possible together!
根据我对Kratos v2.7.1的理解,Kratos框架确实具有内置的日志记录功能,并且提供了一个通用的日志接口,可以用于与外部日志服务(如Filebeat)进行集成。
这是Kratos的Logger
接口:
// Logger is a logger interface.
type Logger interface {
Log(level Level, keyvals ...interface{}) error
}
要与Filebeat或任何其他外部日志服务集成,您需要创建一个新类型,该类型实现此Logger
接口。然后,您的类型的Log
方法将处理将日志数据发送到外部服务的具体细节。
例如:
type FilebeatLogger struct {
// ... your fields here ...
}
func (f *FilebeatLogger) Log(level Level, keyvals ...interface{}) error {
// ... your code to send log data to Filebeat here ...
}
然后,您可以使用With
函数向记录器添加字段,并使用WithContext
函数更改其上下文。这些函数返回一个新的Logger
,您可以使用它进行带有添加的字段和上下文的日志记录。
然而,我在Kratos的存储库中没有找到任何关于Kratos v2.7.1是否已经与Filebeat进行了集成的信息。如果您需要更多关于如何实现这种集成的信息,我建议您查看Filebeat的文档以获取更多关于如何使用其API的信息。
希望这个答案对您有所帮助。如果您有任何其他问题或需要进一步的澄清,请随时提问。
Sources
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Just collect the files directly, why take the initiative to deliver them?
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