Presented to the Boulder Ruby Group on 8/18/15 on StatsD. How Developers can help their teams by using StatsD to instrument their application code during the development process.

1. Hello

2. Lazy

3. #YOLO

4. Works on my
machine

5. Hug it out
ev Op

6. STATSD

7. Gateway Drugs into Ops:
Heroku : Deployment :: StatsD : Monitoring

8. Emitters
Collector

9. • Bucket
• Value
• Flush
Key Concepts

10. Emit
Collect
Display
Alert

11. <metricname>:<value>|<type>

12. echo "foo:1|c" | nc -u -w0 127.0.0.1 8125

13. gem install statsd-ruby
-or-
add to your gem file:
gem “statsd-ruby”

14. Counter
bucket: ernog
value: 1
type: c
ernog:1|c
STATSD.increment ‘ernog’

15. Gauge
bucket: hourk
value: 9
type: g
hourk:9|g
STATSD.gauge ‘hourk’, 9

16. Timer
bucket: cerf
value: 2
type: ms
cerf:2|ms
STATSD.timing ‘cerf’, 2
STATSD.time(‘cerf’) { @cerf.activate! }

17. *.count
*.max
*.min
*.sum
*.mean

18. *.sum_95
*.upper_95
*.mean_95

19. Timer
User.all.each do |user|
STATSD.timing 'user_metric', user.login_count
end
—METRICS RETURNED—
user_metric.count
user_metric.max
user_metric.min
user_metric.sum
user_metric.mean
user_metric.sum_95
user_metric.upper_95
user_metric.mean_95

20. Strategies

21. https://github.com/scoutapp/scout_statsd_rack
https://github.com/CoralineAda/statsd_test_harness

22. Collect

23. Display

24. Alert

26. Easy Way

27. https://registry.hub.docker.com/u/hopsoft/graphite-statsd/

29. apm.scoutapp.com

30. Conclusion