$30 off During Our Annual Pro Sale. View Details »
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
コンテキスト情報を活用し個社最適化されたAI Agentを実現する4つのポイント
kworkdev
PRO
1
1.5k
MySQLとPostgreSQLのコレーション / Collation of MySQL and PostgreSQL
tmtms
1
440
Snowflakeでデータ基盤を もう一度作り直すなら / rebuilding-data-platform-with-snowflake
pei0804
6
1.6k
マイクロサービスへの5年間 ぶっちゃけ何をしてどうなったか
joker1007
14
6.5k
AWS運用を効率化する!AWS Organizationsを軸にした一元管理の実践/nikkei-tech-talk-202512
nikkei_engineer_recruiting
0
100
ディメンショナルモデリングを支えるData Vaultについて
10xinc
1
110
Reinforcement Fine-tuning 基礎〜実践まで
ch6noota
0
190
SREには開発組織全体で向き合う
koh_naga
0
370
.NET 10の概要
tomokusaba
0
120
会社紹介資料 / Sansan Company Profile
sansan33
PRO
11
390k
Oracle Cloud Infrastructure IaaS 新機能アップデート 2025/09 - 2025/11
oracle4engineer
PRO
0
160
Amazon Quick Suite で始める手軽な AI エージェント
shimy
0
180
Featured
See All Featured
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.8k
[SF Ruby Conf 2025] Rails X
palkan
0
540
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.5k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
254
22k
Building an army of robots
kneath
306
46k
Why Our Code Smells
bkeepers
PRO
340
57k
It's Worth the Effort
3n
187
29k
The Invisible Side of Design
smashingmag
302
51k
Building a Modern Day E-commerce SEO Strategy
aleyda
45
8.3k
Automating Front-end Workflow
addyosmani
1371
200k
The Art of Programming - Codeland 2020
erikaheidi
56
14k
A designer walks into a library…
pauljervisheath
210
24k
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!