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Various Dockerfiles I use on the desktop and on servers.

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Quick Overview

jessfraz/dockerfiles is a GitHub repository containing a collection of Dockerfiles for various applications and tools. It provides pre-configured Docker container definitions for a wide range of software, making it easier for users to run applications in isolated environments without complex setup processes.

Pros

  • Extensive collection of Dockerfiles for numerous applications
  • Well-maintained and regularly updated
  • Simplifies the process of running applications in containers
  • Includes Dockerfiles for both common and niche software

Cons

  • Some Dockerfiles may not be optimized for production use
  • Potential security risks if not properly vetted before use
  • May require additional configuration for specific use cases
  • Limited documentation for some of the more complex setups

Getting Started

To use a Dockerfile from this repository:

  1. Clone the repository:

    git clone https://github.com/jessfraz/dockerfiles.git
    
  2. Navigate to the desired application's directory:

    cd dockerfiles/<application_name>
    
  3. Build the Docker image:

    docker build -t <image_name> .
    
  4. Run the container:

    docker run -it --rm <image_name>
    

Note: Replace <application_name> with the name of the application you want to use, and <image_name> with a name for your Docker image.

Competitor Comparisons

Bootstrap Kubernetes the hard way. No scripts.

Pros of kubernetes-the-hard-way

  • Provides a comprehensive, step-by-step guide for setting up Kubernetes manually
  • Offers deep insights into Kubernetes components and architecture
  • Valuable for learning and understanding Kubernetes internals

Cons of kubernetes-the-hard-way

  • Focused solely on Kubernetes, less versatile than dockerfiles
  • More time-consuming to set up and maintain
  • Not suitable for production environments

Code comparison

kubernetes-the-hard-way:

kubectl create secret generic kubernetes-the-hard-way \
  --from-literal="mykey=mydata"

dockerfiles:

FROM debian:jessie
RUN apt-get update && apt-get install -y \
    aufs-tools \
    automake \
    build-essential \
    curl \
    dpkg-sig

Summary

kubernetes-the-hard-way is an educational resource focused on manual Kubernetes setup, providing in-depth understanding of the platform. dockerfiles, on the other hand, offers a collection of Dockerfiles for various applications, making it more versatile for containerization needs.

kubernetes-the-hard-way is ideal for those wanting to learn Kubernetes internals, while dockerfiles is better suited for quickly containerizing different applications. The code examples highlight their different focuses: kubernetes-the-hard-way demonstrates Kubernetes-specific commands, while dockerfiles shows how to create Docker images for various applications.

Primary source of truth for the Docker "Official Images" program

Pros of official-images

  • Officially maintained by Docker, ensuring high-quality and up-to-date images
  • Comprehensive coverage of popular programming languages and frameworks
  • Rigorous testing and security scanning processes

Cons of official-images

  • Limited customization options for specific use cases
  • Slower update cycle for new software versions
  • Less variety in niche or specialized tools

Code Comparison

dockerfiles:

FROM debian:jessie
RUN apt-get update && apt-get install -y \
    curl \
    --no-install-recommends \
    && rm -rf /var/lib/apt/lists/*
CMD ["curl"]

official-images:

FROM debian:bullseye-slim
RUN set -eux; \
    apt-get update; \
    apt-get install -y --no-install-recommends \
        ca-certificates \
        curl \
        netbase \
        wget \
    ; \
    rm -rf /var/lib/apt/lists/*

Key Differences

  • dockerfiles focuses on minimal, single-purpose images
  • official-images provides more comprehensive base images
  • dockerfiles offers a wider range of specialized tools
  • official-images emphasizes standardization and best practices

Use Cases

dockerfiles:

  • Developers seeking lightweight, customized containers
  • Experimenting with various tools and configurations

official-images:

  • Production environments requiring stable, well-maintained images
  • Standardized development workflows across teams
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The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

Pros of Moby

  • Larger, more comprehensive project with broader scope and functionality
  • Actively maintained by Docker, Inc. with frequent updates and contributions
  • Extensive documentation and community support

Cons of Moby

  • More complex codebase, potentially harder for newcomers to navigate
  • Heavier resource footprint due to its comprehensive nature
  • Steeper learning curve for contributors

Code Comparison

Dockerfiles:

FROM debian:sid
RUN apt-get update && apt-get install -y \
    firefox-esr \
    --no-install-recommends \
    && rm -rf /var/lib/apt/lists/*

Moby:

func (daemon *Daemon) containerStart(container *container.Container, checkpoint string, checkpointDir string, resetRestartManager bool) (err error) {
    container.Lock()
    defer container.Unlock()
    if container.Running {
        return nil
    }
    // ... (additional code)
}

Summary

Dockerfiles focuses on providing a collection of Dockerfiles for various applications, making it easier for users to containerize specific software. Moby, on the other hand, is the open-source foundation of the Docker platform, offering a more comprehensive set of tools and components for container-based systems. While Dockerfiles is simpler and more accessible for basic containerization needs, Moby provides a more robust and feature-rich environment for advanced container orchestration and management.

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A tool for exploring each layer in a docker image

Pros of dive

  • Focused tool for analyzing Docker image layers
  • Interactive CLI interface for exploring image contents
  • Provides detailed efficiency analysis and wasted space detection

Cons of dive

  • Limited to image analysis, not a collection of Dockerfiles
  • Requires installation and setup, not just cloning a repository
  • May have a steeper learning curve for beginners

Code comparison

dive:

func analyzeImageEfficiency(image *image.Image) (float64, error) {
    totalSize := image.Size()
    wastedSize := calculateWastedSpace(image)
    efficiency := 1 - (float64(wastedSize) / float64(totalSize))
    return efficiency, nil
}

dockerfiles:

FROM debian:jessie
RUN apt-get update && apt-get install -y \
    curl \
    wget \
    && rm -rf /var/lib/apt/lists/*
CMD ["bash"]

Summary

dive is a specialized tool for analyzing Docker images, offering interactive exploration and efficiency insights. dockerfiles, on the other hand, is a collection of pre-built Dockerfiles for various applications. While dive provides in-depth analysis, dockerfiles offers ready-to-use configurations. The choice between them depends on whether you need image analysis or a library of Dockerfiles for different purposes.

🥑 Language focused docker images, minus the operating system.

Pros of distroless

  • Minimalistic base images with significantly reduced attack surface
  • Optimized for security and smaller image sizes
  • Officially maintained by Google, ensuring regular updates and support

Cons of distroless

  • Limited flexibility due to minimal included tools and utilities
  • Steeper learning curve for developers accustomed to full-featured base images
  • May require additional configuration for certain applications

Code Comparison

distroless example:

FROM gcr.io/distroless/java:11
COPY --from=build /app/target/myapp.jar /app.jar
CMD ["java", "-jar", "/app.jar"]

dockerfiles example:

FROM debian:buster-slim
RUN apt-get update && apt-get install -y openjdk-11-jre-headless
COPY target/myapp.jar /app.jar
CMD ["java", "-jar", "/app.jar"]

The distroless example uses a minimal Java base image, while the dockerfiles example uses a full Debian-based image with Java installed. The distroless approach results in a smaller, more secure image, but may require additional steps for complex applications. The dockerfiles approach offers more flexibility and easier debugging but at the cost of a larger image size and potential security vulnerabilities.

10,221

Dockerfile linter, validate inline bash, written in Haskell

Pros of Hadolint

  • Focused on Dockerfile linting and best practices
  • Provides automated static analysis for Dockerfiles
  • Integrates well with CI/CD pipelines for continuous Dockerfile validation

Cons of Hadolint

  • Limited to Dockerfile analysis, not a collection of ready-to-use Dockerfiles
  • Requires additional setup and integration into development workflows
  • May produce false positives or miss context-specific optimizations

Code Comparison

Hadolint (example usage):

docker run --rm -i hadolint/hadolint < Dockerfile

Dockerfiles (example Dockerfile):

FROM debian:sid
RUN apt-get update && apt-get install -y \
    firefox \
    --no-install-recommends \
    && rm -rf /var/lib/apt/lists/*

Summary

Hadolint is a specialized tool for linting Dockerfiles, offering automated checks for best practices and potential issues. It's well-suited for integration into development pipelines but focuses solely on analysis.

Dockerfiles, on the other hand, provides a collection of pre-built Dockerfiles for various applications. It offers ready-to-use configurations but doesn't include built-in linting or validation.

The choice between the two depends on whether you need a linting tool for your own Dockerfiles (Hadolint) or a repository of pre-configured Dockerfiles for different applications (Dockerfiles).

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README

dockerfiles

make test

This is a repo to hold various Dockerfiles for images I create.

Table of Contents

About

Almost all of these live on dockerhub under jess. Because you cannot use notary with autobuilds on dockerhub I also build these continuously on a private registry at r.j3ss.co for public download. (You're welcome.)

Resources

My dotfiles

You may also want to checkout my dotfiles, specifically the aliases for all these files which are here: github.com/jessfraz/dotfiles/blob/master/.dockerfunc.

Contributing

I try to make sure each Dockerfile has a command at the top to document running it, if a file you are looking at does not have a command, please pull request it!

Using the Makefile

$ make help
build                          Builds all the dockerfiles in the repository.
dockerfiles                    Tests the changes to the Dockerfiles build.
image                          Build a Dockerfile (ex. DIR=telnet).
latest-versions                Checks all the latest versions of the Dockerfile contents.
run                            Run a Dockerfile from the command at the top of the file (ex. DIR=telnet).
shellcheck                     Runs the shellcheck tests on the scripts.
test                           Runs the tests on the repository.