Zendesk manages terabytes of customer data in the form of support ticket comments, user data, kno...
Zendesk manages terabytes of customer data in the form of support ticket comments, user data, knowledge base content, etc. In Zendesk’s previous search architecture based on Apache Solr 3.6 (pre-cloud), manual sharding, operational overhead, difficulty of schema updates, and lack of near-real time indexing was limiting scalability, performance and development velocity. This talk will provide insights into the reasons Zendesk migrated from Apache Solr to Elasticsearch, the journey, and the lessons learned while building their new search and indexing architecture.
Presented by Stefan Will & Sameera Mahajani