Application Logging & Logstash
summary
Uses the ELK stack—Elasticsearch Logstash Kibana—to ingest system and application logs formatted as JSON from Monolog, demonstrating monolog fingers_crossed to capture verbose context only on errors, tagging requests with a unique id to pull all lines for one failure, and parsing with grok patterns into fields. Shows a Vagrant demo (two VMs), live dashboards updated under JMeter load, filtering for 500s and latency percentiles, discusses retention (delete old indices or archive to S3) and scales to ~100 shippers or 10–20 Logstash nodes.
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chapters (17)
- 0:00Start
- 0:06Ben Waine
- 1:33Application Log
- 3:58Keeping Track Of All This....
- 4:37The Elk Stack
- 6:41Visualizing Log Data
- 7:40Basic Logging Examples
- 7:54EGI: Loggers And Handlers
- 11:09EG 2: Tagging Formatting
- 13:29Log Levels
- 15:05EG 3: Event Logging
- 16:02Logstash Architecture
- 39:03Logstash Collecting
- 39:56Logstash Processing
- 42:18Groking
- 44:50Logging Ideas
- 47:30Go Forth And Log.... BUT
