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8/19/2019 Codeship Continuous Integration and Continuous Delivery With Docker
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JAR O SL AV HO L UB
Continuous Integration
and Continuous Deliverywith Docker
8/19/2019 Codeship Continuous Integration and Continuous Delivery With Docker
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About the Author.
Jaroslav Holub is Senior Enineer at Container Solutions
in Amsterdam. He mainly works on research and
development of prorammable infrastructure projects.
He contributes to open source projects and writes about
containers, continuous delivery and devops.
Container Solutions is a premium software consultancy
that focuses on prorammable infrastructure to help
their customers innovate at speed and scale.
They provide support and consultin to technical and
manaement teams who are carryin out complex
technical projects and transitions as well as trainin for arane of technoloies, includin Docker and Mesos.
Learn more about Container Solutions here.
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Continuous Integrationand Continuous Deliverywith Docker.
Continuous delivery is all about reducin risk and
deliverin value faster by producin reliable software in
short iterations. As Martin Fowler says, you actually do
continuous delivery if:
Your software is deployable throuhout its lifecycle.
Your team prioritizes keepin the software deployable over
workin on new features.
Anybody can et fast, automated feedback on the productionreadiness of their systems any time somebody makes a
chane to them.
You can perform push-button deployments of any version of
the software to any environment on demand.
A B O
U T
D O
C K E R
Docker started as a side project by CTO Solomon Hykes who
worked on a Platform as a Service solution called dotCloud. With
rowth of his PaaS slowin down, Hykes and today‘s Docker
CEO Ben Golub started to build a product around the underlyin
technoloy that made dotCloud so fast.
This product was Docker.
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Containerization of software allows us to further improve onthis process. The biest improvements are in speed and
in the level of abstraction used as a cornerstone for further
innovations in this field.
In this post, I’ll show you how to set up a continuous delivery
pipeline usin Docker. We’ll see how usin this tool for Linux
containers as part of the continuous delivery pipeline lets us
nicely encapsulate the build process of a service. It also lets us
deploy any revision with a few simple steps.
We‘ll mainly use the term continuous delivery here, because it
stands for the full circle of steps leadin to our ultimate oal.
However, continuous interation is the most substantial part of
continuous delivery.
Continuous Integration with Docker
Let’s take a Hello World web server written in Go as an
example service. You can find all the code used in this
GitHub repository.
Downloaded the file? Good. Let‘s look what a continuous
interation setup consists of on the next pae.
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The continuous interation setup consists of:
runnin unit tests
buildin the Docker imae we use to build our service
runnin the build container and compilin our service
buildin the Docker imae that we run and deploy
pushin the final imae to a Docker reistry
Automated testing
Runnin tests in this example is as trivial as it should be:
Building Docker image
The core of a sinle service interation is makin the end
artifact — Docker imae in our case.
T E S T . S H
#!/bin/sh
go test
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Because we’ve deliberately chosen the compiledlanuae Go in this example, we need to build an
executable file as part of our interation process. We’ll
eventually place the executable file inside this Docker
imae.
Now one miht think that we would build our web server
executable file usin build tools installed on the host
dedicated to continuous interation and then somehow
copy the binary to the Docker imae. But this is a no-no
in the containerized world. Let’s do it all in containers.
That way, we won’t rely on any build tools installed on
hosts, and it’ll make the whole setup easily reproducible
and encapsulated.
Buildin an executable file can be part of a sinle Dockerimae build process toether with runtime environment
setup. Or we can separate the two. Havin everythin
in a sinle build process, we would end up with extra
content (build process leftovers) in our Docker imae
filesystem, even if we clean it afterwards in separate RUN
commands within the Dockerfile.
Some people use tricks to create, manipulate, and
remove unwanted stuff in a sinle RUN command.
Althouh it’s sometimes handy, I can’t enerally
recommend it; in my opinion this adds to Dockerfile
complexity. Of course, there are situations where you
miht want to retain your sources and all in the end
artifact.
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The approach I recommend, however, is to createseparate “build” and “distribution” Dockerfiles.
Use Dockerle.build to do the heavy liftin durin
buildin the software, and use Dockerle.dist to create
the distributable Docker imae, as liht and clean as
possible.
The followin is Dockerle.build . As you can see, once
we run the build file, we create the container from a
olan imae, compile our example service, and output
the binary.
In Dockerle.dist , we only use this binary and run it on
runtime:
D O
C K E R F I L
E . B U I L D
FROM golang:1.4
RUN mkdir -p /tmp/buildADD hello-world.go /tmp/build/
WORKDIR /tmp/build
RUN go build hello-world.go
CMD tar -czf - hello-world
D O
C K E R F I L E . D I S T
FROM debian:jessie
RUN mkdir /app
ADD build.tar.gz /app/
ENTRYPOINT /app/hello-world
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Our build.sh script — the essential part of ourcontinuous interation pipeline — then looks like this:
As you can see, these three simple Docker commands
et us a clean, small Hello-World Docker imae that’s
ready to be deployed and run on demand. Once both
imaes used in the FROM clauses are pulled and cached
locally, our build process will be a matter of milliseconds
or at most a few seconds, with a very small resources
footprint.
Storing Docker image
Once our build process artifact is created, we want to
push it to Docker Reistry, where it will be available for
deployments.
Please note that tain imaes properly is very
important. Docker ecosystems suffer from the usae of
“latest” ta. If you use a unique ta for every new imae,
B U I L D . S H
# !/bin/sh
docker build -t hello-world-build -f Dockerle.build .
docker run hello-world-build > build.tar.gz
docker build -t hello-world -f Dockerle.dist ^
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then all your imae versions will be easily accessible fordeployment in the future.
We can choose whether we want to use our own Docker
Reistry or rely on Docker Hub. On Docker Hub, you can
store public or private repositories of imaes. It’s also the
first place people would look for your imaes (if you want
anyone to look for them).
Your own Docker Reistry on the other hand ives you
full control over your imaes storae, performance, and
security. More advanced setups miht combine both
approaches.
This way you can ta the new imae with an appropriate
ta and push it to a public hub. Replace your_username
and your_tag with actual values:
P U S H
. S H
# !/bin/sh
docker tag hello-world:latest your_username/hello-world:your_tag
docker push your_username/hello-world:your_tag
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Continuously Delivered Containers
Once we have our Docker imaes buildin pipeline
workin and imaes nicely stashed in a repository, we
definitely want to et our service deployed.
How you deploy your applications depends on your
infrastructure or cloud provider. A few cloud providers
support Docker imaes in their APIs these days (e..,
Amazon EC2 Container Service, Diital Ocean, or
Giant Swarm). You can further leverae the power of
containerized applications with resource abstraction tools
like Apache Mesos (read more about runnin containers
on Mesos) or Goole Kubernetes that let you deploy and
manae containers in their own ways.
In case of our Hello World example, deployin
remotely means runnin the followin command
remotely on a taret machine with Docker installed on it:
D E P L O Y . S
H
# !/bin/sh
docker stop hello-production
docker run --rm -p 8000:80 --name hello-production hello-world
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Beyond Continuous Delivery withDocker
Usin containerized software does not inherently mean
one is implementin microservices. However, containers
enable this architectural pattern because they encourae
developers to split their monoliths based on separation
of concerns.
Microservices also promote communication between
containerized components over a plain network usin
standardized and easily replaceable tubes. To learn
more about microservices and why they miht be a
ood architectural pattern for your software project, I
recommend “Buildin Microservices“ by Sam Newman.
A continuous delivery pipeline with containerized
software also allows you to set up a new kind of testin
environment; subsets of (micro)services are deployed
in small clusters that represent the system under
test runnin with some parts intentionally disabled or
disconnected.
Creation of such a matrix of deployments and
prorammin aainst it has little to no additional costs
in terms of a continuous interation time. It does have
a dramatic impact on the stability and resilience of
software in production. Such a testin system allows
teams to et ready to deal with any kind of Chaos
Monkey.
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C O
N T I N U O
U S
D E L I V
E R Y
Automate Your Development Workflow with Docker
Runnin a MEAN web application in Docker containers on AWS
Runnin a Rails Development Environment in Docker
Testin your Rails Application with Docker
D O
C K E R
The Future is Containerized
Container Operatin Systems Comparison
Buildin a Minimal Docker Container for Ruby Apps
Further Reading
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E B O
O
K
Efciency in Development
Workows.
Learn about Software Development for distributed
teams and how to make them code efficiently.
Download this eBook
More Codeship Resources.
E B O
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Automate your Development
Workow with Docker.
Learn how to use Docker to nullify the issue ofinconsistent environment setups.
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E B O
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Orchestrate Containers withDocker Compose.
Learn how to use Docker Compose. We focus on
how to orchestrate containers in development.
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8/19/2019 Codeship Continuous Integration and Continuous Delivery With Docker
14/14
- 14 -
S ha re t h is
Codes h i p Gu ide
About Codeship.
Codeship is a hosted Continuous Interation and
Delivery Platform that focuses on speed, security and
customizability.
Connect your GitHub and Bitbucket projects and
Codeship will test and deploy your apps at every push.
Create oranizations, teams and handle permissions to
ensure smooth collaboration and speed up your testin
10x with Codeship‘s ParallelCI pipelines.
You can learn more about Codeship here.
h t t ps://codes h i p.co m
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