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
5.2k
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
290
How not to lose your mind with too many microservices - BedCon 2016
owehrens
1
790
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
3.7k
Provisioning from Development to Production, BedCon 2013
owehrens
0
2.9k
Other Decks in Technology
See All in Technology
フィッシュボウルのやり方 / How to do a fishbowl
pauli
2
440
AWS re:Invent2025最新動向まとめ(NRIグループre:Cap 2025)
gamogamo
0
140
なぜ あなたはそんなに re:Invent に行くのか?
miu_crescent
PRO
0
240
2025年 山梨の技術コミュニティを振り返る
yuukis
0
140
Oracle Database@Google Cloud:サービス概要のご紹介
oracle4engineer
PRO
1
810
Oracle Database@AWS:サービス概要のご紹介
oracle4engineer
PRO
2
600
ハッカソンから社内プロダクトへ AIエージェント ko☆shi 開発で学んだ4つの重要要素
leveragestech
0
500
DATA SUMMIT 2025 生成 AI 時代におけるデータ分析基盤の在り方:オンプレミスからのクラウド移行とモダンデータスタックの実現
coldairflow
0
100
[Data & AI Summit '25 Fall] AIでデータ活用を進化させる!Google Cloudで作るデータ活用の未来
kirimaru
0
4.2k
Introduce marp-ai-slide-generator
itarutomy
0
170
まだ間に合う! Agentic AI on AWSの現在地をやさしく一挙おさらい
minorun365
19
3.4k
人工知能のための哲学塾 ニューロフィロソフィ篇 第零夜 「ニューロフィロソフィとは何か?」
miyayou
0
230
Featured
See All Featured
How Software Deployment tools have changed in the past 20 years
geshan
0
30k
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
81
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
0
3.4k
Testing 201, or: Great Expectations
jmmastey
46
7.8k
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
How to Get Subject Matter Experts Bought In and Actively Contributing to SEO & PR Initiatives.
livdayseo
0
37
The SEO identity crisis: Don't let AI make you average
varn
0
43
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
140
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
1
410
My Coaching Mixtape
mlcsv
0
18
<Decoding/> the Language of Devs - We Love SEO 2024
nikkihalliwell
1
100
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
1.8k
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!