Building a real-time news search engine

06/06/2016 - 11:00 to 11:40
Frannz Club
long talk (40 min)

Session abstract: 

What challenges could a search engine have? Large number of documents? Large query load? Very complex queries? A challenging privileging model? Expected low query latency? High volume of document updates? Updates to documents reflected in milliseconds? Realtime alerting for any search? Absolutely no downtime any time of the day, week or year? What if a search engine had all these challenges? Meet the backend which drives News Search at Bloomberg LP. In this talk, Ramkumar Aiyengar talks about how he and his colleagues successfully pushed Solr over the last three years to unchartered territories, to deliver a real-time search engine critical to the workflow of hundreds of thousands of customers worldwide.