Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Continuous Delivery – A GitHub Story
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
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.
Matthew McCullough
February 19, 2013
Tweet
Share
More Decks by Matthew McCullough
See All by Matthew McCullough
Patterns for Collaborative Software Development in a Social World at JavaOne 2015
matthewmccullough
1
410
Collaborative Software Development in a Social World at the Utah JUG
matthewmccullough
2
180
Git and GitHub Platform Review
matthewmccullough
1
550
Your First Pull Request
matthewmccullough
0
340
Git and GitHub Workflows at the Utah JUG
matthewmccullough
1
850
Agile-ish life at GitHub
matthewmccullough
2
410
Git and GitHub Agile Workflows for HP
matthewmccullough
0
340
Writing Tools on the GitHub Platform
matthewmccullough
0
290
Git Feature Branches as an Art
matthewmccullough
0
200
Other Decks in Programming
See All in Programming
Best-Practices-for-Cortex-Analyst-and-AI-Agent
ryotaroikeda
1
100
AWS re:Invent 2025参加 直前 Seattle-Tacoma Airport(SEA)におけるハードウェア紛失インシデントLT
tetutetu214
2
110
Vibe Coding - AI 驅動的軟體開發
mickyp100
0
170
AIエージェントのキホンから学ぶ「エージェンティックコーディング」実践入門
masahiro_nishimi
5
450
IFSによる形状設計/デモシーンの魅力 @ 慶應大学SFC
gam0022
1
300
CSC307 Lecture 02
javiergs
PRO
1
780
15年続くIoTサービスのSREエンジニアが挑む分散トレーシング導入
melonps
2
200
OCaml 5でモダンな並列プログラミングを Enjoyしよう!
haochenx
0
140
Amazon Bedrockを活用したRAGの品質管理パイプライン構築
tosuri13
4
600
Patterns of Patterns
denyspoltorak
0
1.4k
AI時代の認知負荷との向き合い方
optfit
0
160
The Past, Present, and Future of Enterprise Java
ivargrimstad
0
560
Featured
See All Featured
HDC tutorial
michielstock
1
380
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
55k
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
49
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
1k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
53
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
62
49k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
122
21k
Building AI with AI
inesmontani
PRO
1
690
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Ethics towards AI in product and experience design
skipperchong
2
190
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
340
Transcript
a GitHub Story CONTINUOUS D E L I V E
R Y
[email protected]
github.com/training @matthewmccull matthewmccullough
None
None
Probably the most important technical book of 2010 -Martin Fowler,
ThoughtWorks
Why? The current state of affairs
None
None
None
None
we have a problem
None
"This is so important, we can't entrust it to automation.
We need our top developer to supervise it."
None
The Loose Parts Building blocks of better results
automation everywhere
None
continuous integration
None
None
None
agile practices
traceability
rollback
toggles
None
None
humane interface
None
Divide and Conquer Small actions are generally best
None
None
None
None
Automate Humans are creative. Robots are consistent.
None
None
continuous integration servers
continuous integration servers jenkins travis ci circleci buildhive
None
None
None
None
None
Embrace Transient-ness Hardware on demand provides flexibility
Cloudbees
None
Amazon Web Services
None
Heroku
None
Hubot
None
hubot: <dosomething>
Measure Identify mistakes at home and in the wild
None
None
None
None
None
None
None
None
Feature Flags Dip toes, not heads, into unknown waters
http://www.flickr.com/photos/mwichary/3209181446/
None
None
Fail Forward Fix the root of problems
None
git revert
None
small changes
try not to roll back
fail forward
Listen to Leaders Open sourcing all of the ideas
None
None
None
Risks What's the worst that could happen?
kill some features
discover we're wrong
cause some regressions
optimize for innovation
Q&A
[email protected]
github.com/training @matthewmccull matthewmccullough