A Machine Learning Approach to Log Analytics - DZone Big Data

Opening a Kibana dashboard at any given time reveals a simple and probably overstated truth -- there are simply too many logs for a human to process. Sure, you can do it the hard way, debugging issues in production by querying and searching among the millions of log messages in your system. But this is far from being a methodological and productive method. Kibana searches, visualizations, and dashboards are very effective ways to analyze a system, but a serious limitation of any log analytics platform, including the ELK Stack, is the fact that the people running them only know what they know. A Kibana search, for example, is limited to the knowledge of the operator who formulated it.