In this chapter, we have understood the distributed aspects of any enterprise search. We understood distributed search patterns, and how Apache Solr can be used as a distributed search. We started working with Apache SolrCloud, by understanding its architecture, and building a SolrCloud instance of development and production. We also looked at sharding strategies and fault tolerance. Finally, we went through Apache Solr and MongoDB together. In the coming chapter, we will see how Apache Hadoop and Solr can complement each other, alongside the various implementations of Solr with Hadoop.