How can new tools and technologies shorten our feedback cycles, and reduce pain and frustration of deployment and maintenance of systems? How do you scale your continuous deployment system to support more developers? This hands-on technical session demonstrates how new containerization technologies like Docker and Concourse CI can be used to build deployment pipelines. Sean and Chris will show how to build a deployment pipeline, configuration-manage it, and deploy software through it.

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CHRIS EDWARDS, P.ENG.
SEAN DUNN, CD, P.ENG., PMP
StreamlineyourCI
with docker/concourse.ci

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Master
“Z” machine
“R” Machine
“A” Machine
New
“Slave”
Always acting up
Needs frequent
reboots
Has special
packages installed
for legacy project
Template used for
future machine
setup

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Gavin McCance - CERN
https://www.slideshare.net/gmccance/cern-data-centre-evolution

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web
worker
db

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web
worker
db

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Concourse.ci basics
• Resources
• Tasks
• Jobs

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Tasks
• Execution of a script in an isolated
environment with dependent resources
available to it.
http://concourse.ci/concepts.html

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Resources
• Any entity that can be checked for new
versions, pulled down at a specific
version, and/or pushed up to
idempotently create new versions
http://concourse.ci/concepts.html

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Resources
• Any entity that can be checked for new
versions, pulled down at a specific
version, and/or pushed up to
idempotently create new versions
http://concourse.ci/concepts.html

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Resources
• Git
• Mercurial
• Time
• S3
• .tar.gz archives
• docker-image
• Cloud Foundry
• … Many more
• Your own custom resource
http://concourse.ci/concepts.html

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jobs
• Some actions to perform when dependent
resources change (or when manually
triggered).
• For example, you may define a job that
runs your unit tests whenever new code
is pushed to a repository.
http://concourse.ci/concepts.html

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Resources
Jobs

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web
worker
db

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web
worker
db

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web
worker
db

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web
worker
db

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web
worker
db