Operating at scale with Elastic Search in production
summary
Uses Elasticsearch for fast full-text search and analytics to detect errors, anomalies, perform behavioral analysis, and geolocation queries. Describes challenges encountered when scaling Elasticsearch and lessons learned, and explains design and implementation of a resilient, reactive system that ingests/processes multiple billions of records per day into Elasticsearch.
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