Dockerfile template

Warning

Please be aware that this repository is fully licensed under the GPLv3.

This Dockerfile repository serves as a template for me to quickly start new Dockerfile projects, and conveniently copy and paste. These files are extracted from my previous projects, they cannot be used directly. They preserve the unique configurations of the original projects, along with my personal preferences and coding style. Kindly exercise caution when using them.

!markdown/README.md: Search for jim60105/Dockerfile-template and source/Dockerfile-template and replace them with the name of the new repository.

Awesome Resources

Best practices

• Docker Docs: Dockerfile Best Practices
• Openshift Docs: Creating images
• IBM Docs: Best practices for designing a universal application image

Nginx

• NGINX Unprivileged Docker Image (Run as a non root, unprivileged user)

Python

• Creating the Perfect Python Dockerfile | by Luis Sena | Medium
• Multi-stage builds #2: Python specifics
• To Virtualenv or not to Virtualenv for Docker? This is the question. | by Jarek Potiuk | Medium
  This article explains why you should NOT use virtualenv in Docker.
• Optimising Python3 with Nuitka and Docker Scratch
  Compile Python program to binary with Nuitka and run it in a scratch container.
  This means no "entire" Python runtime and dependencies is needed in the final image.
  This article demonstrates based on the most basic premise and may require some adjustments in practical applications.
  Starting from the debian:slim will make life easier. 😉

Advanced Docker

• Advanced Docker / BuildKit Caching with 5 tricks to speed up your image builds

My works

Repository	Description	Dockerfile
docker-whisperX	A Dockerfile and CI workflow focus on multi-stage building and optimal cache adjustment. It efficiently builds close to 200 Docker images, each with a size of 10G , on a weekly basis using the GitHub free runner.	🔗
docker-stable-diffusion-webui	Python ML project containerization and Docker build CI workflow fully on the GitHub free runner. The main goal of designing this image is to keep it small and follow best practices . Successfully controlled the size to around 10GB , saving approximately 1/3 of the capacity compared to other existing solutions.	🔗
docker-MSSQL-Server	A MSSQL Server Containerized Backup and Restoration Solution. My team relies on this solution to keep the development databases in sync between dozens of developers. Everyone has their own development database, so we can freely experiment with it without any concerns.	🔗
docker-Oracle-Database	Same as the previous one, but it's for Oracle Database.
docker-static-ffmpeg-upx	This is the wader/static-ffmpeg compressed with UPX, makes the binary size reduce to about 26% . I created this image mainly for my other projects that uses static-ffmpeg . Also added the compressed dumb-init since I often use it together.	🔗
docker-infinite-image-browsing	Python pip package containerization with Nuitka compiled to executable and run in a container without the python runtime.	🔗
docker-streamLink	Python pip package containerization.	🔗
docker-yt-dlp	Python pip package containerization.	🔗
docker-ytarchive	Golang containerization with UPX compressed.	🔗
docker-twitcasting-recorder	Python project containerization.	🔗
docker-fc2-live-dl	Python project containerization.	🔗
YoutubeLiveChatToDiscord	C# .NET 8 project with runtime-deps image + self-contained + publish-trimmed.	🔗
backup-dl	C# .NET 8 project with runtime-deps image + self-contained + publish-trimmed.	🔗
docker-Nextcloud	Docker compose file for Nextcloud.
docker-ReverseProxy	Docker compose file for Reverse Proxy with automatic SSL certificate generation. I use it for my personal VPS reverse proxy.
Recorder-moe/azure-uploader	Call Azure REST api with shell script in container.	🔗
Recorder-moe/s3-uploader	Use MinIO Client (mc) to upload files to S3 compatible storage.	🔗
HoloArchivists/twspace-dl	Python project containerization with venv solution.	🔗
bmaltais/kohya_ss	Python project containerization with ML dependencies (CUDA, torch, xformers, tensorflow). I helped this amazing open-source project set up the docker build CI.	🔗

LICENSE

GNU GENERAL PUBLIC LICENSE Version 3

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Caution

A GPLv3 licensed Dockerfile means that you MUST distribute the source code with the same license, if you

• Re-distribute the image. (You can simply point to this GitHub repository if you doesn't made any code changes.)
• Distribute a image that uses code from this repository.
• Or distribute a image based on this image. (FROM ghcr.io/jim60105/Dockerfile-template in your Dockerfile)

"Distribute" means to make the image available for other people to download, usually by pushing it to a public registry. If you are solely using it for your personal purposes, this has no impact on you.

Please consult the LICENSE for more details.