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This presentation shows how Logstash, Apache Flume or rsyslog can help you parse, buffer and ship your logs to Elasticsearch or Solr. We’ll show the pros and cons of each tool, so you can decide what’s best for your use case.
The presentation also puts Elasticsearch and Solr side by side ands shows how to make them handle write-heavy applications like those presented in the first part. It goes over how to tweak various buffers, merge policies, how to structure indices/collections, and more. And when one machine isn’t enough, we’ll look at how Elasticsearch and Solr (through SolrCloud) can be scaled horizontally to handle more and more data.
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