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Scaling Selenium


Noah Sussman
Etsy
2006: Test JavaScript and CSS locally
2011: Test the whole Web application stack.
Why would we need to scale our Selenium testing?
MTBF: Mean Time Between Failures
MTTR: Mean Time To Recover


MTTR > MTBF
It’s not whether you get knocked down; it’s
whether you get back up. ~Vince Lombardi
Recovery usually requires deploying new code
faster deploys = smaller changesets = fewer change-related outages
End-to-end tests are slow as hell
Scaling communication, concurrency and hardware
Most people have a hard time
interpreting the results of one failing test
Aggregating and reporting
on test results becomes
increasingly challenging.
graphs > emails
Use Jenkins to run tests concurrently.
There are other ways to do it, but
Jenkins was the simplest (for us).
Jenkins Matrix Build plugin
######



Master Build   ######


               ########
Most regressions are catastrophic
Walk the happy path
early 2010:
Headless Firefox on Linux, raw EC2 instances
late 2010:
Physical Hardware
xxxx




       2011: SauceLabs
xxxx
hybrid cluster
early 2010: about 10 people making 5 deployments a day
           ~150 Selenium tests run every day
mid 2011: about 20 people making 30+ deployments
            ~700 Selenium tests a day
Lessons Learned



Communication and discoverability remain our biggest challenges.

Jenkins’ concurrent build capacity is a bottleneck.

Even with a vendor in front of it, the cloud is still the cloud.
etsy.com/careers
Noah Sussman
noah@etsy.com
@noahsussman
photo credits
parkour guy: loki_v http://www.flickr.com/photos/loki_v/268938583/
easy button: crd http://www.flickr.com/photos/crd/283156445
sleeping cat: binibix http://www.flickr.com/photos/binibix/6090137450
etsy bike rack: cubicle spy http://mashable.com/2010/10/13/etsy-office-pics
etsy infrastructure diagram: john allspaw
etsy deployment velocity graph: erik kastner
upside down server: chris munns
                      http://www.flickr.com/photos/teknogeek/5316475923/

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Scaling Selenium