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
710
Entwicklung verteilter Systeme (The Architecture Gathering 2015)
owehrens
1
110
Entwicklung verteilter Systeme - Herausforderungen nicht nur für die Architektur, BedCon 2015
owehrens
0
2.2k
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
社外コミュニティで学び社内に活かす共に学ぶプロジェクトの実践/backlogworld2024
nishiuma
0
250
Fanstaの1年を大解剖! 一人SREはどこまでできるのか!?
syossan27
2
160
20241214_WACATE2024冬_テスト設計技法をチョット俯瞰してみよう
kzsuzuki
3
440
Postman と API セキュリティ / Postman and API Security
yokawasa
0
200
サービスでLLMを採用したばっかりに振り回され続けたこの一年のあれやこれや
segavvy
2
370
サイボウズフロントエンドエキスパートチームについて / FrontendExpert Team
cybozuinsideout
PRO
5
38k
生成AIをより賢く エンジニアのための RAG入門 - Oracle AI Jam Session #20
kutsushitaneko
4
210
AI時代のデータセンターネットワーク
lycorptech_jp
PRO
1
280
Jetpack Composeで始めるServer Cache State
ogaclejapan
2
160
非機能品質を作り込むための実践アーキテクチャ
knih
3
720
サイバー攻撃を想定したセキュリティガイドライン 策定とASM及びCNAPPの活用方法
syoshie
3
1.2k
AIのコンプラは何故しんどい?
shujisado
1
190
Featured
See All Featured
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
44
9.3k
How to train your dragon (web standard)
notwaldorf
88
5.7k
Navigating Team Friction
lara
183
15k
A better future with KSS
kneath
238
17k
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
111
49k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
32
2.7k
GraphQLとの向き合い方2022年版
quramy
44
13k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
226
22k
The Cult of Friendly URLs
andyhume
78
6.1k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
28
9.1k
Bootstrapping a Software Product
garrettdimon
PRO
305
110k
Thoughts on Productivity
jonyablonski
67
4.4k
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!