'The History of Metrics According to me' by Stephen Day
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The document discusses the evolution of metrics specifically in the context of Docker, highlighting the challenges of observability and the types of metrics such as counters, gauges, and summaries. It emphasizes the importance of integrating metrics into Docker to enhance performance understanding for contributors and user behavior insights. The presentation concludes with a roadmap outlining future developments and the integration of Prometheus for better metric discovery and application monitoring.
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'The History of Metrics According to me' by Stephen Day
- 1. The History of Metrics According to Me Stephen Day Docker, Inc. Docker Meetup, SF December 2016 v1
- 3. Metrics Why?
- 5. 5 Titration By UCL - Flickr, CC BY 2.0, https://commons.wikimedia.org/w/index.php?curid=45263025
- 6. Music
- 7. Electrical Engineering CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=392484
- 10. Graphs
- 12. Software Engineering is way behind! Sort of. See http://www.itl.nist.gov/div898/handbook/ for an example
- 13. 13 Observability and Controllability The Problem Low Observability High Observability Guessing Informed
- 14. Models INFO[0012] response completed go.version=go1.6.3 http.request.host=localhost:5001 http.request.id=4db26096-a417-48e8-a759-ddd8ea66c3a0 http.request.method=GET http.request.remoteaddr=172.17.0.1:57406 http.request.uri=/v2/ http.request.useragent=curl/7.49.1 http.response.contenttype=application/json; charset=utf-8 http.response.duration=5.4388ms http.response.status=200 http.response.written=2 instance.id=7926875b-d3fb-41e4-bd75-2370a3e8a03c version=v2.5.1 Record-based
- 16. Why aren’t metrics built into everything?
- 17. Excuses!
- 18. Why aren’t metrics a part of Docker?
- 19. The Goal
- 21. Types of Metrics - Counters: cumulative number that only increases - Gauges: value that can go up or down - Summary/Histogram: Sample of observations https://prometheus.io/docs/concepts/metric_types/
- 22. Format
- 23. Configuration
- 24. Architecture
- 25. Demo
- 28. - For Contributors and Maintainers to better understand performance - For Users to better understand behavior of the daemon in their infrastructure - Implemented in 1.13 Docker Engine Metrics
- 29. Externally Observable Metrics - CPU, memory usage, etc. - Replaces docker stats
- 30. Integrated Target Discovery - Prometheus automatically discover engine and container metric targets
- 31. Application Metrics - Directly proxy your metrics out of the Docker daemon - Leverage built in integrated target discovery
- 32. THANK YOU