Web Content Analytics at Scale with Parse.ly

Dd9d954997353b37b4c2684f478192d3?s=47 Elastic Co
February 17, 2016

Web Content Analytics at Scale with Parse.ly

Using Elasticsearch, Parse.ly wrote a time series backend for its real-time content analytics product. This talk will cover time-based indices, hot/warm/cold tiers, doc values, index aliases/versioning, and other techniques to run a multi-terabyte Elasticsearch cluster to perform time series at scale.

Dd9d954997353b37b4c2684f478192d3?s=128

Elastic Co

February 17, 2016
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