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
Getting Faster, Continuous Lifecycle 2013
Search
Oliver Wehrens
November 11, 2013
Technology
2
5.1k
Getting Faster, Continuous Lifecycle 2013
How we got from a release every six month to daily releases.
Oliver Wehrens
November 11, 2013
Tweet
Share
More Decks by Oliver Wehrens
See All by Oliver Wehrens
Service Discovery For Machines And Humans - OOP conference 2017
owehrens
0
10k
How not to lose your mind with too many microservices - Architecture Gathering 2016
owehrens
3
280
How not to lose your mind with too many microservices - BedCon 2016
owehrens
1
770
Entwicklung verteilter Systeme (The Architecture Gathering 2015)
owehrens
1
120
Entwicklung verteilter Systeme - Herausforderungen nicht nur für die Architektur, BedCon 2015
owehrens
0
2.3k
Wider den Monolith - Am Ende wird alles gut. WJAX 2014.
owehrens
1
3.6k
Provisioning from Development to Production, BedCon 2013
owehrens
0
2.9k
Other Decks in Technology
See All in Technology
研究開発部メンバーの働き⽅ / Sansan R&D Profile
sansan33
PRO
3
17k
新規プロダクト開発、AIでどう変わった? #デザインエンジニアMeetup
bengo4com
0
450
ObsidianをMCP連携させてみる
ttnyt8701
2
110
「実体」で築く共通認識: 開発現場のコミュニケーション最適化 / Let's Get on the Same Page with Concrete Artifacts: Optimization of Communication in dev teams
kazizi55
0
140
Eight Engineering Unit 紹介資料
sansan33
PRO
0
3.4k
Autonomous Database サービス・アップデート (FY25)
oracle4engineer
PRO
2
770
工具人的一生: 開發很多 AI 工具讓我 慵懶過一生
line_developers_tw
PRO
0
150
ユーザーのプロフィールデータを活用した推薦精度向上の取り組み
yudai00
0
320
マルチテナント+マルチプロダクト SaaS への AI Agent の組み込み方
kworkdev
PRO
2
330
エンジニア採用から始まる技術広報と組織づくり/202506lt
nishiuma
8
1.7k
「どこにある?」の解決。生成AI(RAG)で効率化するガバメントクラウド運用
toru_kubota
2
390
Contract One Engineering Unit 紹介資料
sansan33
PRO
0
6.4k
Featured
See All Featured
Building Flexible Design Systems
yeseniaperezcruz
328
39k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
8
650
Imperfection Machines: The Place of Print at Facebook
scottboms
267
13k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
14
1.5k
Optimising Largest Contentful Paint
csswizardry
37
3.3k
StorybookのUI Testing Handbookを読んだ
zakiyama
30
5.8k
Making the Leap to Tech Lead
cromwellryan
134
9.3k
BBQ
matthewcrist
89
9.7k
Git: the NoSQL Database
bkeepers
PRO
430
65k
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
123
52k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
161
15k
Fireside Chat
paigeccino
37
3.5k
Transcript
getting faster How we got from a release every six
month TO daily releases Continuos Lifecycle 11.11.2013
AndrÉ von deetzen @vdandre Oliver Wehrens @owehrens
Migration what’s next Status Agenda one stack Lessons learned
Status How we started
150 DEV / QA / OPS
> 100 SOURCE REPOSITORIES
1 RELEASE EVERY SIX MONTH
1 TEAM TO RELEASE & DELIVER
1 DEPLOYMENT IN PRODUCTION
Technology stack PHP JAVA RUBY LINUX puppet tomcat C++ C
SQL perl python jboss httpd
development & production different installer other os bare metal vs
virtualisation different puppet versions other ways of monitoring
Wait whaT? How did we GET here? Features, Features, Features
faster, faster, faster (not really) solved the scaling problem upfront
Transition What did we do?
Time to market Analysis 6 Months 2 Weeks daily
Squeeze The existing
Automate as much as we can
From 6 to 3 Months
scrum no more waterfall
From 3 to 1 Month
optimize agile + automation
From 1 Month to 2 weeks
Still a monolith
Still nightly deployments
New Functionality?
We can do better!
One Stack (with variations)
new platform simplify unify loosely coupled daytime deployment disaster recovery
!
Three areas to change
Architecture (many) small services stateless independently deployable stable interfaces
Deployment MAKE RPM NOT WAR PUPPET with HIERA automatic vm
setup
Workflow staging build chain empower teaMs infrastructure
create virtual machine install yum, rpm, centos reboot smoketest lifecycle
configure puppet operate €€€
technology stack JVM Tomcat Centos 6 YUM & RPM Puppet
3 REST
deployment pipeline development release candidate certified release reference production
started with one new service and one team
Approach became very popular
existing services ? anti corruption Layer refactoring rewrite (better not
do it)
> 200 Deployments STAGED TO PRE-PRODUCTION ON OUR BEST DAY
IN 2013
2014 What’s next?
Automate all the things! Puppet for network components Automate firewalls
Increase visibility Infrastructure self service evaluate container based approach instead of VMs
lessons learned
Same environment & Tools Everywhere is essential
don’t get too fast, we could not deploy every delivery
had not enough Capacity for VMs in Development
Rewrite = Long time no roi
Spreading Knowledge can’t be fast enough
need to recreate any Machine automatically
Questions ? And yes, we’re hiring too! come talk to
us.
Thanks for your attention!