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.
