Practice: Process logs with Apache Hadoop

Extract useful data from logs using Hadoop on typical Linux systems

From the developerWorks archives

M. Tim Jones

Date archived: April 18, 2019 | First published: May 30, 2012

Logs are an essential part of any computing system, supporting capabilities from audits to error management. As logs grow and the number of log sources increases (such as in cloud environments), a scalable system is necessary to efficiently process logs. This practice session explores processing logs with Apache Hadoop from a typical Linux system.

This content is no longer being updated or maintained. The full article is provided "as is" in a PDF file. Given the rapid evolution of technology, some content, steps, or illustrations may have changed.



static.content.url=http://www.ibm.com/developerworks/js/artrating/
SITE_ID=1
Zone=Open source, Linux
ArticleID=818412
ArticleTitle=Practice: Process logs with Apache Hadoop
publish-date=05302012