Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Continuous Delivery – A GitHub Story

Sponsored · Ship Features Fearlessly Turn features on and off without deploys. Used by thousands of Ruby developers. →
Avatar for Matthew McCullough Matthew McCullough
February 19, 2013
Programming
4
670

Continuous Delivery – A GitHub Story

A presentation delivered by Matthew McCullough at DevNexus 2013 in Atlanta, GA, USA.

Avatar for Matthew McCullough

Matthew McCullough

February 19, 2013
Tweet

More Decks by Matthew McCullough

See All by Matthew McCullough
Patterns for Collaborative Software Development in a Social World at JavaOne 2015
Avatar for Matthew McCullough matthewmccullough
1
410
Collaborative Software Development in a Social World at the Utah JUG
Avatar for Matthew McCullough matthewmccullough
2
180
Git and GitHub Platform Review
Avatar for Matthew McCullough matthewmccullough
1
550
Your First Pull Request
Avatar for Matthew McCullough matthewmccullough
0
340
Git and GitHub Workflows at the Utah JUG
Avatar for Matthew McCullough matthewmccullough
1
850
Agile-ish life at GitHub
Avatar for Matthew McCullough matthewmccullough
2
410
Git and GitHub Agile Workflows for HP
Avatar for Matthew McCullough matthewmccullough
0
340
Writing Tools on the GitHub Platform
Avatar for Matthew McCullough matthewmccullough
0
290
Git Feature Branches as an Art
Avatar for Matthew McCullough matthewmccullough
0
200

Other Decks in Programming

See All in Programming
OSSとなったswift-buildで Xcodeのビルドを差し替えられるため 自分でXcodeを直せる時代になっている ダイアモンド問題編
Avatar for yimajo yimajo
3
620
副作用をどこに置くか問題：オブジェクト指向で整理する設計判断ツリー
Avatar for Koya Masuda koxya
1
610
AIによるイベントストーミング図からのコード生成 / AI-powered code generation from Event Storming diagrams
Avatar for nrs nrslib
2
1.9k
20260127_試行錯誤の結晶を1冊に。著者が解説 先輩データサイエンティストからの指南書 / author's_commentary_ds_instructions_guide
Avatar for nash_efp nash_efp
1
970
今こそ知るべき耐量子計算機暗号(PQC)入門 / PQC: What You Need to Know Now
Avatar for mackey0225 mackey0225
3
380
Fluid Templating in TYPO3 14
Avatar for Simon Praetorius s2b
0
130
AIで開発はどれくらい加速したのか？AIエージェントによるコード生成を、現場の評価と研究開発の評価の両面からdeep diveしてみる
Avatar for どすこい daisuketakeda
1
2.5k
コマンドとリード間の連携に対する脅威分析フレームワーク
Avatar for Aja9tochin pandayumi
1
450
高速開発のためのコード整理術
Avatar for sutetotanuki sutetotanuki
1
400
CSC307 Lecture 01
Avatar for Javier Gonzalez-Sanchez javiergs
PRO
0
690
例外処理とどう使い分ける？Result型を使ったエラー設計 #burikaigi
Avatar for Takuma Kajikawa kajitack
16
6.1k
AI時代の認知負荷との向き合い方
Avatar for OptFit Corp. optfit
0
160

Featured

See All Featured
Music & Morning Musume
Avatar for Bryan Veloso bryan
47
7.1k
XXLCSS - How to scale CSS and keep your sanity
Avatar for Zaharenia Atzitzikaki sugarenia
249
1.3M
The Hidden Cost of Media on the Web [PixelPalooza 2025]
Avatar for Tammy Everts tammyeverts
2
190
The Mindset for Success: Future Career Progression
Avatar for Greg Gifford greggifford
PRO
0
240
Helping Users Find Their Own Way: Creating Modern Search Experiences
Avatar for Dan Newman danielanewman
31
3.1k
Java REST API Framework Comparison - PWX 2021
Avatar for Matt Raible mraible
34
9.1k
Collaborative Software Design: How to facilitate domain modelling decisions
Avatar for Kenny Baas-Schwegler baasie
0
140
Making Projects Easy
Avatar for Brett Harned brettharned
120
6.6k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
Avatar for Eileen M. Uchitelle eileencodes
26
3.3k
Building a Scalable Design System with Sketch
Avatar for Laura Van Doore lauravandoore
463
34k
What's in a price? How to price your products and services
Avatar for Michael Herold michaelherold
247
13k
Abbi's Birthday
Avatar for Violet Bock coloredviolet
1
4.7k

Transcript

  1. a GitHub Story CONTINUOUS D E L I V E

    R Y

  2. [email protected] github.com/training @matthewmccull matthewmccullough

  3. None
  4. None

  5. Probably the most important technical book of 2010 -Martin Fowler,

    ThoughtWorks

  6. Why? The current state of affairs

  7. None
  8. None
  9. None
  10. None

  11. we have a problem

  12. None

  13. "This is so important, we can't entrust it to automation.

    We need our top developer to supervise it."
  14. None

  15. The Loose Parts Building blocks of better results

  16. automation everywhere

  17. None

  18. continuous integration

  19. None
  20. None
  21. None

  22. agile practices

  23. traceability

  24. rollback

  25. toggles

  26. None
  27. None

  28. humane interface

  29. None

  30. Divide and Conquer Small actions are generally best

  31. None
  32. None
  33. None
  34. None

  35. Automate Humans are creative. Robots are consistent.

  36. None
  37. None

  38. continuous integration servers

  39. continuous integration servers jenkins travis ci circleci buildhive

  40. None
  41. None
  42. None
  43. None
  44. None

  45. Embrace Transient-ness Hardware on demand provides flexibility

  46. Cloudbees

  47. None

  48. Amazon Web Services

  49. None

  50. Heroku

  51. None

  52. Hubot

  53. None

  54. hubot: <dosomething>

  55. Measure Identify mistakes at home and in the wild

  56. None
  57. None
  58. None
  59. None
  60. None
  61. None
  62. None
  63. None

  64. Feature Flags Dip toes, not heads, into unknown waters

  65. http://www.flickr.com/photos/mwichary/3209181446/

  66. None
  67. None

  68. Fail Forward Fix the root of problems

  69. None

  70. git revert

  71. None

  72. small changes

  73. try not to roll back

  74. fail forward

  75. Listen to Leaders Open sourcing all of the ideas

  76. None
  77. None
  78. None

  79. Risks What's the worst that could happen?

  80. kill some features

  81. discover we're wrong

  82. cause some regressions

  83. optimize for innovation

  84. Q&A

  85. [email protected] github.com/training @matthewmccull matthewmccullough