Codeship Continuous Integration and Continuous Delivery With Docker

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


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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

O

K

Automate your Development

Workow with Docker.

Learn how to use Docker to nullify the issue ofinconsistent environment setups.

Download this eBook

E B O

O

K

Orchestrate Containers withDocker Compose.

Learn how to use Docker Compose. We focus on

how to orchestrate containers in development.

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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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