Kafka Integration with the ELK Stack and its Use at LinkedIn
Join LinkedIn Senior Site Reliability Engineer, Tin Le, and Elastic developer, Tal Levy, for a presentation and discussion on ways of using Kafka with Logstash & Elasticsearch.
Learn how to scale Logstash using Kafka, including architecture and configuration, and hear from LinkedIn about how they are using Kafka with Elasticsearch to monitor their services.
This webinar will also cover:
- Logstash 1.5 Kafka input/output plugins
- Monitoring Kafka JMX reporter statistics using the Elasticsearch, Logstash, and Kibana
- Live Kibana demo to collect and analyze Kafka JMX bean statistics
- LinkedIn’s use of Kafka and set-up to scale them to 875 billion daily messages and 700 TB/day
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Tin Le is a Senior Site Reliability Engineer at LinkedIn based in Mountain View, CA. He is an all around hacker/engineer holding patents and versatilely also a jack-of-all-trades. His interests lie in highly scaleable architecture, cloud, NoSQL, search (Elasticsearch), programming languages such as Go, Internet-of-Things, etc.
Antoine Girbal is a Solutions Architect at Elastic based in the SF Bay Area, helping users build solutions using the most innovative and advanced open source distributed search engine, Elasticsearch and the ELK stack. He previously worked at MongoDB where he held a variety of roles since the early days of NoSQL, from Core Database Developer to Principal Solutions Engineer. He also spent many years in the CDN industry, designing and developing some of the largest and fastest Content Delivery and Application Acceleration systems still in production today.
Tal Levy is a Logstash developer based in Mountain View, CA. Tal joined Elasticsearch from Quixey where he worked on data systems built with Kafka and Hadoop. When he is not click-clacking on keyboards, you can find him cycling and climbing.