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Noel King – 10 July 2013
CloudStack
enabled
Continuous
Delivery

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Me
• Software engineer at Paddy
Power
• Develop a PAAS solution for
development teams
• Primarily Java developer
• Mentor at CoderDojo

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Agile

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Lets review Dev process

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Dev now focused on single user
story

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User story demo

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2 … n weeks later
regression testing .. and
then …
Think we have a major performance
issue

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Developer reaction!

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Yes fixed it quickly!

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Great its go live day

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Or its …

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Observations
• Business & Developers >
Product to market quicker
• Go Lives still to big and risky
• Production application
monitoring inadequate

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Could we do better – Behavioral
change
• Automated testing
• Automate environment provisioning
• Smaller incremental releasing
• Implement proper application
monitoring
• Blue / Green releasing

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Use Case
haproxy > tomcat > mysql > app
dynamics

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Continuous Delivery
Part 1:
Automate environment
provisioning

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Automation with
Cloudstack
• Create new VM’s as required
• Bootstrap VM’s with the necessary
role
• Update firewall rules as necessary
• Scale based on demand
• Automatically rebuild failed
instances

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Continuous Delivery
Part 2:
Orchestrate release management

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Let’s automate from
Check-in to Production
• Jenkins Build Pipeline plugin manages from
check-in through to production
– Unit tests
– Integration test
– Sonar
– Artifactory
– Acceptance
– Performance
– Live
• Every check-in is release candidate

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The must haves
• Set version number and create new git
branch
• Compile and run unit tests with Maven
• Clone workspace for other jobs
• Run integration tests with Maven
• Run sonar analysis
• Publish binary to artifactory
• Failed tests / Inadequate test coverage
/ Sonar alerts break build

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Acceptance + Performance
• Python Script
– Create a new server with
Cloudstack API
– Retrieve IP address from
Cloudstack API
• Chef – bootstrap server with
role
• Binaries from artifactory
• Run acceptance tests using maven

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Sample CloudStack API
Call in Jenkins
import urllib
obj =
eval(urllib.urlopen("http://192.168.1.110:8096/c
lient/api?command=deployVirtualMachine&zo
neid=98c822f1-ef7a-4f57-8bce-
bf955779e5f7&templateId=92c2d4ae-f2b9-4028-
a331-
d1b77cba6f74&hypervisor=KVM&serviceOffering
Id=15ed9345-9e6d-43ec-8508-
186a261b30f7&displayname=acceptance-
test&name=acceptanc-
test&response=json").read());deployVirtualMachine

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Live
• Authorised promotion only
• Can only be promoted if all
previous steps in the pipeline
pass
• SSH onto production server and
run a chef-client

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Kick ass App monitoring
App Dynamics

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Chef
"run_list": [
"recipe[mysql::server]",
"recipe[mysql::runInitSql]",
"recipe[java]",
"recipe[appdynamicslite]",
"recipe[tomcat]",
"recipe[tomcat::jndi]",
"recipe[tomcat::deployWar]",
"recipe[haproxy]"
]

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Why stop here, what’s
next?
• Logstash
• Auto scheduled scaling
• Knife cloudstack
• Jenkins jclouds plugin
Maybe cache service
– Memcached

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Questions

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www.azuredevs.co
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