$30 off During Our Annual Pro Sale. View Details »
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Continuous Delivery in Java - Things we learned...
Search
Paolo D'Incau
November 07, 2015
Programming
0
45
Continuous Delivery in Java - Things we learned hurting ourselves
The slides of my talk at the Italian Agile Day 2015 about Continuous Delivery in Java
Paolo D'Incau
November 07, 2015
Tweet
Share
More Decks by Paolo D'Incau
See All by Paolo D'Incau
Exploring Processes and OTP behaviours in Erlang
pdincau
2
360
Other Decks in Programming
See All in Programming
非同期処理の迷宮を抜ける: 初学者がつまづく構造的な原因
pd1xx
1
710
Integrating WordPress and Symfony
alexandresalome
0
150
Building AI Agents with TypeScript #TSKaigiHokuriku
izumin5210
6
1.3k
AIコーディングエージェント(skywork)
kondai24
0
160
tparseでgo testの出力を見やすくする
utgwkk
2
210
Tinkerbellから学ぶ、Podで DHCPをリッスンする手法
tomokon
0
130
モデル駆動設計をやってみようワークショップ開催報告(Modeling Forum2025) / model driven design workshop report
haru860
0
270
大体よく分かるscala.collection.immutable.HashMap ~ Compressed Hash-Array Mapped Prefix-tree (CHAMP) ~
matsu_chara
2
220
Rediscover the Console - SymfonyCon Amsterdam 2025
chalasr
2
160
【CA.ai #3】ワークフローから見直すAIエージェント — 必要な場面と“選ばない”判断
satoaoaka
0
240
組み合わせ爆発にのまれない - 責務分割 x テスト
halhorn
1
150
Giselleで作るAI QAアシスタント 〜 Pull Requestレビューに継続的QAを
codenote
0
170
Featured
See All Featured
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
Six Lessons from altMBA
skipperchong
29
4.1k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
231
22k
Large-scale JavaScript Application Architecture
addyosmani
515
110k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
970
KATA
mclloyd
PRO
32
15k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
196
70k
Navigating Team Friction
lara
191
16k
Speed Design
sergeychernyshev
33
1.4k
Testing 201, or: Great Expectations
jmmastey
46
7.8k
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
Transcript
Continuous Delivery in Java Cose che abbiamo imparato facendoci del
male Italian Agile Day ‘15
@pdincau Here I am
Continuous Delivery? What is
“Continuous Delivery is a software development discipline where you build
software in such a way that the software can be released to production at any time. ” Martin Fowler* * martinfowler.com/bliki/ContinuousDelivery.html
“Continuous Delivery is nothing more than reducing the stress you
get when you deliver business value to the customer ” My Team* * Come and ask!
n t Continuous Delivery... What is
Continuous Integration
Continuous Deployment
“Safety" Deploy rules
Technically Speaking
Deploy any specific working version to production with confidence
3 ways
Rodeo Style
No tests Manual deploy Snowflake environments Non predictable outcome Few
or very little collaboration
By the book
Fast Feedback Done is released Shared responsibility Everything is automated
Repeatable and reliable process
Start small and iterate
Once upon a time...
We did know...
Previous deployment process was painful Database continuously change Different environments
Iteration n.1 No Automation
Environment replica on AWS Manual build Manual DB migrations Deploy
with scp to remote JBoss
It was our own choice...
...but we felt like this
No automation at all When was our last deploy?
A taste of Automation Iteration n.2
Set up a basic Jenkins installation Test and build triggered
on push DB migration using Liquibase Task to deploy on AWS
This worked for a while
Errors in MyBatis DB mappers Wrong/Missing wirings
Yay! Environments are ready!
Deploy Everywhere Iteration n.3
New Jenkins job to run IT Track slowest tests First
official deploy an all environments
…with different DB drivers !#$?!
Duplication
Incorrect use of mvn profiles N-builds for N-environments Long build
and deploy time
Single Artefact Iteration n.4
Got rid of configurations using JBoss *Unique* artefact for all
environments Deploy version X.Y.Z from Nexus
We started getting fast
But QA were not so happy Branches, branches everywhere!
Make them happy Iteration n.5
AWS is for nightly builds Tags over branches Track deployed
version
Acceptance tests
Explained values and motivations to Product Owner
Remove Candidate Clean Up Clean Up Meet the pipeline Migrate
Database Fetch Unit Tests Build Build Slow Tests Integration Tests Integration Deploy Publish UAT QA and Publish
Where to go next
Parallel builds Environments Provisioning
Things we would change...
Pipeline with “placeholders” Extract configurations Explain at the beginning the
values behind
Things we would do again...
Build the pipeline iteratively Use of Liquibase Share pipeline responsibility
Recommended reading
That’s all!
Thanks @pdincau