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From Matt Sicker <boa...@gmail.com>
Subject Re: Best practice for logging in a highly available hadoop cluster
Date Thu, 28 Sep 2017 00:07:43 GMT
Typical best practices for Hadoop like that is to use Flume. You could also
have a central log aggregation server that your nodes log to (e.g., using
the gelf layout for graylog, or just a TCP server accepting json/xml log
messages), or you could log via the Kafka appender or similar for
distributed logging.

On 27 September 2017 at 18:44, Anhad Singh Bhasin <anhadbhasin@gmail.com>

> Hello,
> We have TCPSocketServer running on Edge node of a cluster and all other
> data nodes send log events to the TCPSocketServer running on edge node. And
> we are using standard routing to redirect log events to individual log
> files.
> We are planning to make our system highly available by adding multiple Edge
> nodes. This means each Edge node would have its own TCPSocketServer and at
> a particular time one Edge node would be up and running.
> Since each Edge node would have its own set of log files, Is there a best
> practice for high available systems from Log4j2 to keep all the log files
> in one place.
> Can we push the log events into log files in HDFS through the log4j2
> Routing appender?
> Or Do we push all the log events into log files in a shared disk among all
> the edge nodes?
> Any suggestions, comments would be deeply appreciated.
> Thanks
> Anhad Singh Bhasin

Matt Sicker <boards@gmail.com>

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