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.
- 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 is a tech geek by passion and travel addict by devotion. As a member of the product management team at Elastic, he focuses on Logstash, Hadoop ecosystem integrations, and overall data ingest strategy. Previously, he was responsible for the Hadoop portfolio at Teradata and hacked Big Data solutions at Hewlett-Packard. He holds a Computer Science B.A. from UC Berkeley.
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.