Images

Turn your application code into state-of-the-art Docker images without having to write a single line of Docker syntax. Our CI/CD pipelines then automatically build, test, and deploy every new version of your applications.

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Use our click-to-install Dockerfile templates

Applications in Smoothy are installed as Docker containers. This means that before you can install your application code on your deployment, you first need to go through some preparation steps.

The first step is to create a Dockerfile for your application. This is a file defining the steps that need to be executed in order to prepare a virtual machine to run your application code.

If you are comfortable writing your own Dockerfile, you can use your own custom Dockerfile. However, if you are new to Docker or just want to focus on building applications rather than dealing with this kind of low-level configuration, you can use one of our click-to-install Dockerfile templates.

All our templates are carefully crafted by the Smoothy team, based on years of expertise and best practices. Moreover, they can be tweaked to your needs with only a few clicks of a button.

PHP
PHP
Laravel
Laravel
Vue.js
Vue.js
coming soon
Node.js
Node.js
coming soon
.Net
.Net
coming soon
Java
Java
coming soon
Python
Python
coming soon
C & C++
C & C++
coming soon
Ruby
Ruby
coming soon
Go
Go
coming soon

Missing an important template?

We are working hard to extend and improve our cloud platform on a daily basis. If you believe we can improve your workflow by adding a specific Dockerfile template, please let us know and we will be happy to help you out.

Automatically build your Docker images

The second step in preparing your application code for installation as a Docker container is building it into a Docker image. You can think of this image as a self-contained read-only template that is built based on the steps defined in the Dockerfile. The Docker image contains your application's source code, some configuration files, and any system library or external dependencies the application needs in order to run.

Every time you release a new version of your application, you need to build a new Docker image. To streamline this process, Smoothy seamlessly integrates with your code provider and automates the entire build process.

1
Github
Smoothy integrates with the Github repository hosting your application code. Next, upon every git push a new image build is triggered.
2
Docker
During a build, Smoothy turns your application code into a Docker image based on the specifications in the Dockerfile. The resulting image is stored on a private Docker registry.
3
Docker
The stored Docker image can then be used to install your application as a Docker container on any deployment managed by Smoothy.

Set up your own build pipeline

Before you build a Docker image, you usually want to verify that your application code is working as expected. Therefore, Smoothy allows you to set up your own build pipeline to run tests against your application. Only if all the tests succeed, the build will continue.

You can extend the build pipeline with one or more stages, which can be configured to run in sequence or in parallel. For every stage, you can define the context in which you want to run your tests, securely pass any sensitive data as environment variables, and easily spin up services such as MySQL and Redis.

start
1

Clone code repository

The master branch of the code repository is cloned at the beginning of the image build. All the tasks and tests in the consequent stages run in the context of the application code.

Code provider
Github Github
Code repository
elonmusk/tesla-website
Branch master
2
The stages are scheduled in parallel for faster execution.
Pipeline
Run PHPUnit tests
Name
5
Actions
Pipeline
Run security checks
Name
2
Actions
+
Extend your build pipeline by creating more stages.
Create stage
3

Build image

Your application code will be build as a Laravel Laravel 5 Docker image. The image will be stored on a private registry of Smoothy and can be used to deploy your application as a Docker container on your servers. If you have already deployed one or more applications using this image, the applications are automatically updated with the new version of the image.

finish

Debug your application using our real-time build logs

You can easily following along with and debug the execution of the pipeline, using the real-time execution logs that are available via the Smoothy interface.

Output
(success)

$ docker build --pull -f Dockerfile -t registry.smoothy.cloud/pipeline-36bc3a23-a846-440e-80c6-057544e85eef:latest .


Step 1/4 : FROM node:alpine

alpine: Pulling from library/node

8e402f1a9c57: Pulling fs layer

682f5b61546c: Pulling fs layer

c482ca3e1e59: Pulling fs layer

c482ca3e1e59: Verifying Checksum

c482ca3e1e59: Download complete

8e402f1a9c57: Verifying Checksum

8e402f1a9c57: Download complete

682f5b61546c: Verifying Checksum

682f5b61546c: Download complete

8e402f1a9c57: Pull complete

682f5b61546c: Pull complete

c482ca3e1e59: Pull complete

Digest: sha256:5fec7c5da14d7ce1e27247cce8889f51d2cf97f6aa73511ccc9a8944f066d625

Status: Downloaded newer image for node:alpine

 ---> 953c516e1466

Step 2/4 : COPY . /app

 ---> f6b67031b352

Step 3/4 : WORKDIR /app

 ---> Running in 73c075fa922d

Removing intermediate container 73c075fa922d

 ---> a795881b9e14

Step 4/4 : RUN npm install

 ---> Running in a52c79fbdff7

added 1221 packages from 505 contributors in 32.834s


Job succeeded

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