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Explore Zomato's journey in leveraging Apache Solr to handle massive-scale search operations in this 16-minute conference talk. Learn how the Indian food delivery giant evolved from a single Solr instance processing 1,000 queries daily to a robust system capable of searching 100 million restaurant catalogs, 800,000+ restaurants, and 50,000+ unique dishes in 13 languages, serving 64 million daily search queries. Discover the challenges faced and solutions implemented in building a fault-tolerant Solr cluster on AWS, balancing scalability, resiliency, and cost. Gain insights into handling large index sizes, high search volumes, faceting, filtering, and aliasing. Understand how Zomato overcame issues like index explosion, full index corruption, and slow indexing using community support, profilers, and remote debugging. Additionally, learn about Zomato's use of Solr Cloud for powering their homepage, serving 2 million restaurants to customers at peak per second.