Integration of Flume and ElasticSearch to analyze big log data
by fooker for OpenNMS
Logging plays an important role for analyzing problems in monitoring applications. The goal of this project is to distill this high value information out of a massive amount of heterogeneous logging messages. To reach this goal it's required to handle a massive amount of logging messages even from different systems and normalize them into a generic model. This model is the base for later analyze and efficient storage of logging messages.