Going Elastic
summary
Overview of the ELK stack with Beats added: Elasticsearch stores searchable, scored documents; Logstash parses/enriches (200+ plugins) and scales via queues; Kibana visualizes. Beats are lightweight Go agents (filebeat, topbeat, packetbeat) that ship metrics from thousands of servers and can send to Logstash or directly to Elasticsearch. Demo shows a Vagranted V5 preview ingesting ~4,000 events and ~2,000 HTTP transactions with one outlier >8.5s. New ingest nodes move simple parsing into Elasticsearch; graph and alerting are commercial plugins.
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chapters (26)
- 0:00Introduction and speaker intro
- 1:07Elastic terminology explained
- 2:10History of Elasticsearch
- 4:16Full text search vs databases
- 4:58Kibana and Logstash introduction
- 7:29ELK stack and its mascot
- 9:15Enterprise use cases for Elasticsearch
- 9:56Introduction to Beats
- 11:22Elastic stack overview
- 13:07Beats vs Logstash comparison
- 15:57Timeline visualization demo
- 17:03Elastic cloud and commercial offerings
- 18:47Commercial plugins and features
- 20:15Version 5 and compatibility changes
- 21:21Ingest nodes in Elasticsearch
- 22:26Cloud Enterprise for on-premise
- 23:09Demo setup and prerequisites
- 23:53Kibana 5 interface overview
- 24:35Discover feature and log analysis
- 26:45Top Beat dashboard walkthrough
- 28:51Packet Beat HTTP metrics
- 31:18Packet Beat latency analysis
- 32:20Timeline visualization demo
- 34:04Graph API commercial plugin demo
- 37:20Summary and open source options
- 38:03Q&A session
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