Getting Started with Logstash

Logstash is the central dataflow engine in the Elastic Stack for gathering, enriching, and unifying all of your data regardless of format or schema. The real-time processing is especially powerful when coupled with Elasticsearch, Kibana, and also Beats. In this video, Sr. Product Manager, Alvin Chen, and Logstash Team Lead, Andrew Cholakian, give an overview and demo on how to get started with Logstash.

Highlights include:

Logstash pipeline concepts and terminology
Internal architecture and important settings
Plugins ecosystem and management
Installing and running Logstash
Common use cases

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Alvin Chen

Alvin Chen is part of the product management team at Elastic focusing on Logstash and data ingestion. Previously, he drove Hadoop & Aster products at Teradata and hacked data solutions at HP with Cassandra & Hadoop. He has a Computer Science B.A. from UC Berkeley and is an avid sports fan.

Andrew Cholakian

Andrew is a developer on the Logstash team at Elastic. He's a passionate open-source contributor. Prior to working at Elastic, Andrew has occupied a number of startup roles ranging from co-founder to developer. He lives in Minneapolis, MN in quiet harmony with his surroundings.