Elasticsearch is an open source horizontally-scalable, distributed search and analytics engine based on Apache Lucene. Elasticsearch is one of the most popular projects on Github with ~400 contributors, 3,000+ forks and 10,000+ commits. Organizations around the world, from startups to governments to large corporations, are using Elasticsearch for numerous use cases to gain real-time insights from large volumes of data. We'll cover some of the key query capabilities of Elasticsearch: basic keyword search, aggregations, suggestions, etc. along with other topics such as indexing data, configuration best practices, planning for scale, etc. We'll discuss some examples of different uses of Elasticsearch: document/entity search, centralized logging, web analytics. Honza Král will be the primary presenter for this session. He is lead contributor to the official low-level (elasticsearch-py) and high-level (elasticsearch-dsl-py) Python clients for Elasticsearch. Honza will provide an introduction to these two clients. Honza (Python client developer), Pier-Hugues (Logstash developer) and Peter (Solutions engineer) are employed by Elastic ([@elastic](https://twitter.com/elastic)), the 170+ person company which shepherds and employs the primary contributors to three open-source projects: Elasticsearch, Logstash and Kibana.