Web Content Analytics at Scale: How Parse.ly uses Elasticsearch for Multi-Terabyte Time Series

Web Content Analytics at Scale: How Parse.ly uses Elasticsearch for Multi-Terabyte Time Series

Using Elasticsearch, Parse.ly wrote a time series backend for its real-time content analytics product. This talk will cover how it was done, including document mappings, rollup approaches, time-based indices, hot/warm/cold tiers, index aliases/versioning, and other techniques to run a multi-terabyte Elasticsearch cluster to perform time series at scale.

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Andrew Montalenti

February 18, 2016
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