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Scaling with Continuous Deployment

          Social Developer Summit
      San Francisco, CA, June 29, 2010

             Brett G. Durrett (@bdurrett)
 Vice President Engineering & Operations, IMVU, Inc.




                                                       0
An online community where members use 3D avatars
           to meet new people, chat, create
            and have fun with their friends
Survey Says




Continuous Deployment... who is with me?




                                           2
In a Nutshell




What is Continuous Deployment?

• Engineer commits code
• 20 minutes later it is live in production
• Repeat about 50 times per day


                                                 3
Does This Really Work?


“Maybe this is just viable for a single
  developer … your site will be down. A lot.”

“It seems like the author either has no
   customers or very understanding
   customers”

    Responses to February 2009 posting by Timothy Fitz about Continuous Deployment at IMVU
                                                 (at the time IMVU had a $12 million run rate)



                                                                                                 4
Benefits




• Regressions easy to find, correct

• Releases have zero overhead

• Rapid iteration using real customer metrics


                                                5
Finding and Fixing Problems


                        • Each release has few
                          changes, 1-3 commits

                        • Production issues
                          correlate with check-
                          in timestamp

                        • No overhead to
Identifying cause
  takes minutes
                          producing a new
                          release to correct
                          issue
CD at IMVU: Simple Overview

  Local tests                                                   Rollback
pass, engineer                                                  (Blocks)
commits code
                                No


Lots and lots of            Metrics        Yes    Code deployed
   tests run                good?                  to all servers




   All tests       Yes   Code deployed               Metrics
                                                                    No
    pass?                to % of servers              still
                                                     good?

         No                                               Yes

Revert commit
  (Blocks)                                 Win!

                                                                           7
CD at IMVU: Detailed Overview




                            8
Getting Started – Extreme Basics




1. Continuous integration system
2. Production monitoring and alerting
   – System performance
   – Business metrics
   – Trending is nice too 
3. Simple deploy / roll-back system


                                             9
Commit to Making Forward Progress




• Require coverage for all new code

• Add coverage for bugs / regressions

• Understand and fix root cause of failures


                                              10
Expect Some Hurdles


• Production outages
• New overhead
   – Tests
   – Build systems
• Production outages
• Frustration
• Production outages

   (but well worth it)
Dealing with SQL


Problems
• Difficult to roll-back schema
• Alter statements lock / impact customers

Solutions
• New schema has formal review process
• No alter on large tables, create new table
   – Copy on read
   – Complete migration with background job
                                               12
Big Features



• Developed on trunk, not branch
   – “hidden” from customers by A/B experiment
   – 100% control, add QA to experiment


• Deployed daily during development

• Slow roll-out by increasing experiment %
   – Experiment closed = fully launched
                                                 13
Test Speed


Slow tests burden to scaling
• Can’t run all tests in sandbox
• Faster to debug on build cluster

If possible…
• Keep tests fast
• Keep tests specific


                                              14
The cost of failing tests



As the team grows…

• More likely to have test failures
• More people blocked as a result

        Intermittent failures very bad
          Eliminate the root cause

                                                15
Other Issues


• Won’t catch issues that fail slowly
   – SELECT * FROM growing_table WHERE 1


• Some critical areas cause hard lock-ups
   – MySQL
   – Memcached


• Lack of test coverage of older code
   – Not an issue if you start with test coverage
                                                    16
Does Continuous Deployment Scale?

• Technical staff ~50 people

• 10 million monthly unique visitors

• Peak ~115K concurrent IM client logins

• It’s a real business!
   – $40 million run rate
   – Profitable and doubled revenue in 2009
                                              17
Newer Scaling Challenges




Biggest challenges come with growth of the
          engineering organization




                                             18
SLA for Build Systems




Build systems are a critical service




                                        19
SLA for Build Systems




Build systems are a critical service
        Run them that way




                                        20
Build and Push Times




                   21
Overall Availability




                   22
Build Throughput


• Initial implementation sequential builds
   – Scaled okay to ~20 engineers
   – Like trains running every 20 minutes
   – One “red” blocks all following builds


• Solution: build isolation
   – Enable testing single build without deploy
   – “Red” build pulled, allow other builds to pass


                                                      23
Current Systems



• > 15,000 tests

• 72 web build servers
   – 51 Linux, 21 Windows

• > 6 hours of tests on average hardware

• Deploy to cluster of ~700 servers

                                            24
Web Build Software



•   Custom test-file runner with JS GUI
•   PHP SimpleTest
•   Python's built-in unittest
•   Selenium Core with in-house API wrapper
•   YUITest for browser JS unit tests
•   Erlang Eunit


                                              25
Conclusion



• Continuous Deployment is good

• Try it – starting earlier is easier

• It’s a key part of a nutritious development
  process


                                                 26
Questions?




             27
More on Continuous Deployment

• SD Times Leaders of Agile: Kent Beck's
  Principles of Agility: http://bit.ly/9wsAYv
  (this webinar tomorrow, June 30)

• Eric Ries (Startup Lessons Learned) on
  Continuous Deployment: http://bit.ly/5l6X1

• Timothy Fitz (IMVU) Doing the impossible
  50 times a day: http://bit.ly/OxJv
                                                28
Thank You!



           Brett G. Durrett
          bdurrett@imvu.com
           Twitter: @bdurrett

      IMVU was recognized as one of
the “Best Places to Work” (and we’re hiring)
         http://www.imvu.com/jobs/



                                                29

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Continuous Deployment at IMVU

  • 1. Scaling with Continuous Deployment Social Developer Summit San Francisco, CA, June 29, 2010 Brett G. Durrett (@bdurrett) Vice President Engineering & Operations, IMVU, Inc. 0
  • 2. An online community where members use 3D avatars to meet new people, chat, create and have fun with their friends
  • 4. In a Nutshell What is Continuous Deployment? • Engineer commits code • 20 minutes later it is live in production • Repeat about 50 times per day 3
  • 5. Does This Really Work? “Maybe this is just viable for a single developer … your site will be down. A lot.” “It seems like the author either has no customers or very understanding customers” Responses to February 2009 posting by Timothy Fitz about Continuous Deployment at IMVU (at the time IMVU had a $12 million run rate) 4
  • 6. Benefits • Regressions easy to find, correct • Releases have zero overhead • Rapid iteration using real customer metrics 5
  • 7. Finding and Fixing Problems • Each release has few changes, 1-3 commits • Production issues correlate with check- in timestamp • No overhead to Identifying cause takes minutes producing a new release to correct issue
  • 8. CD at IMVU: Simple Overview Local tests Rollback pass, engineer (Blocks) commits code No Lots and lots of Metrics Yes Code deployed tests run good? to all servers All tests Yes Code deployed Metrics No pass? to % of servers still good? No Yes Revert commit (Blocks) Win! 7
  • 9. CD at IMVU: Detailed Overview 8
  • 10. Getting Started – Extreme Basics 1. Continuous integration system 2. Production monitoring and alerting – System performance – Business metrics – Trending is nice too  3. Simple deploy / roll-back system 9
  • 11. Commit to Making Forward Progress • Require coverage for all new code • Add coverage for bugs / regressions • Understand and fix root cause of failures 10
  • 12. Expect Some Hurdles • Production outages • New overhead – Tests – Build systems • Production outages • Frustration • Production outages (but well worth it)
  • 13. Dealing with SQL Problems • Difficult to roll-back schema • Alter statements lock / impact customers Solutions • New schema has formal review process • No alter on large tables, create new table – Copy on read – Complete migration with background job 12
  • 14. Big Features • Developed on trunk, not branch – “hidden” from customers by A/B experiment – 100% control, add QA to experiment • Deployed daily during development • Slow roll-out by increasing experiment % – Experiment closed = fully launched 13
  • 15. Test Speed Slow tests burden to scaling • Can’t run all tests in sandbox • Faster to debug on build cluster If possible… • Keep tests fast • Keep tests specific 14
  • 16. The cost of failing tests As the team grows… • More likely to have test failures • More people blocked as a result Intermittent failures very bad Eliminate the root cause 15
  • 17. Other Issues • Won’t catch issues that fail slowly – SELECT * FROM growing_table WHERE 1 • Some critical areas cause hard lock-ups – MySQL – Memcached • Lack of test coverage of older code – Not an issue if you start with test coverage 16
  • 18. Does Continuous Deployment Scale? • Technical staff ~50 people • 10 million monthly unique visitors • Peak ~115K concurrent IM client logins • It’s a real business! – $40 million run rate – Profitable and doubled revenue in 2009 17
  • 19. Newer Scaling Challenges Biggest challenges come with growth of the engineering organization 18
  • 20. SLA for Build Systems Build systems are a critical service 19
  • 21. SLA for Build Systems Build systems are a critical service Run them that way 20
  • 22. Build and Push Times 21
  • 24. Build Throughput • Initial implementation sequential builds – Scaled okay to ~20 engineers – Like trains running every 20 minutes – One “red” blocks all following builds • Solution: build isolation – Enable testing single build without deploy – “Red” build pulled, allow other builds to pass 23
  • 25. Current Systems • > 15,000 tests • 72 web build servers – 51 Linux, 21 Windows • > 6 hours of tests on average hardware • Deploy to cluster of ~700 servers 24
  • 26. Web Build Software • Custom test-file runner with JS GUI • PHP SimpleTest • Python's built-in unittest • Selenium Core with in-house API wrapper • YUITest for browser JS unit tests • Erlang Eunit 25
  • 27. Conclusion • Continuous Deployment is good • Try it – starting earlier is easier • It’s a key part of a nutritious development process 26
  • 29. More on Continuous Deployment • SD Times Leaders of Agile: Kent Beck's Principles of Agility: http://bit.ly/9wsAYv (this webinar tomorrow, June 30) • Eric Ries (Startup Lessons Learned) on Continuous Deployment: http://bit.ly/5l6X1 • Timothy Fitz (IMVU) Doing the impossible 50 times a day: http://bit.ly/OxJv 28
  • 30. Thank You! Brett G. Durrett bdurrett@imvu.com Twitter: @bdurrett IMVU was recognized as one of the “Best Places to Work” (and we’re hiring) http://www.imvu.com/jobs/ 29