Migrating From Lucene to Solr
When an OSC client reached the limits of its ability to work with a pure Lucene implementation for its search requirements, it turned to us to migrate from Lucene to a full Solr implementation. We evaluated the existing search implementation using Lucene could provide with a strengths and weaknesses analysis and mapped those strengths and weaknesses to Solr. We then developed and deployed into production a prototype based on Solr to solicit early end user feedback. Using that information, we supported the client in their deployment of Solr search across the enterprise, indexing over 2GB in their search index. Below is the pattern that we used in the deployment:
Massively Scaling Solr in the Cloud
When an OSC client wanted to index streaming video and the corresponding analyst chatter about the video, it turned to OSC to help it scale Solr to meet its highly data and computationally intense needs. OSC utilized Solr, Lucene, Katta, and Hadoop to create a cloud-enabled, failure-resistant, rapidly indexing intelligence analysis tool that allowed analysts to search for geospatial information related to the video that was being indexed.