Using Solr to Search and Analyze Logs discusses how to use Solr and related tools like Logstash and Elasticsearch to index, search, and analyze log data. It covers sending logs to Solr using various methods like Logstash, Flume, and rsyslog plugins. It also discusses best practices for handling logs like production data in Solr, including using docValues, omitting norms/term positions, configuring caches, commits, and merges. The document concludes by discussing scaling options like SolrCloud and collections/aliases for partitioning logs over time.