Monitoring and metrology for containers

on YouTube ↗46m

" summary

Concrete practices for running containers in production: centralize logs using rsyslog -> Kafka -> Elasticsearch/Kibana with Docker logging flags and tags; collect metrics via Telegraf -> Graphite/InfluxDB/Prometheus -> Grafana and expose app metrics from inside images. Also covers operational advice: expect high volume so plan naming/label conventions and retention, prefer trend-based alerts over fixed thresholds, avoid storing business data in containers, and script the setup with Terraform/automation for reproducible dashboards and collectors.

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" chapters (15)

1. 0:00Start
2. 0:35Who are we?
3. 3:08Containers in production?
4. 3:25What does production expect?
5. 6:15Why is production afraid?
6. 8:11New constraints
7. 9:08Pets versus cattle
8. 10:39Application rather than servers
9. 13:03Panic on board
10. 16:45Log aggregation
11. 19:56rsyslog
12. 25:37Metric collection
13. 30:08Example: collectd
14. 34:21Final architecture
15. 40:31Watch out

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