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Continuous Delivery in Java - Things we learned...
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Paolo D'Incau
November 07, 2015
Programming
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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
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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