docker-autocompose VS Docker Compose

But there is this little tool docker-autocompose that can read the configuration of your current containers and export that into a docker-compose.yml. It probably wont work 100% perfect for every possible container config, but its worth a try and it might save a lot of time when making the switch from run to compose. Good luck!

You can try to use docker-autocompose to read the configs of your currently deployed containers and write them into a compose file for you.

There are different registries, Docker Hub, Quay (quay.io), GitHub (ghcr.io), Linuxserver (lscr.io). Then there is the image name and then the tag (//:; for example lscr.io/linuxserver/plex:latest). The tag and the registry won't matter too much for you (tag I guess you use latest), because most maintainers like Linuxserver push the same image to different registries. So it doesn't really matter if you use lscr.io/linuxserver/plex:latest or just linuxserver/plex:latest or ghcr.io/linuxserver/plex:latest. What does matter is if you use the linxserver or the plexinc image. If you run docker container ls in your terminal, you can see which image you are using. You could then run docker container inspect to get a json config of your plex container and volume mounts etc. to use that to create a docker compose file for it. There are also tools that do that automatically for you, like this: https://github.com/Red5d/docker-autocompose/blob/master/README.md This way, you can use docker compose to start/stop/update and have a permanent config which you can easily migrate to a new NAS/server.

Run this https://github.com/Red5d/docker-autocompose

Here is the link to docker-autocompose for those that might be able to help. https://github.com/Red5d/docker-autocompose

I converted existing docker run via https://www.composerize.com/ (since I had them written down in text file) , you can also use https://github.com/Red5d/docker-autocompose (examples on very bottom) to convert existing containers to YML file.

Solutions are many, and could include Docker Compose, VS Code dev containers, Telepresence, Localstack or setting up temporary AWS accounts as a development environment for serverless applications.

Using Docker Compose to run Postgres and any third-party services locally provides a streamlined and consistent development environment. Developers can define services in a docker-compose.yml file, which enables them to configure and launch an entire stack with a single command. In this case, Postgres is encapsulated within a container with predefined configurations. Docker Compose also facilitates easy scaling, updates, and isolation of services, enhancing development efficiency and reducing the setup time for new team members or transitioning between projects. It encapsulates complex configurations, such as Postgres' performance monitoring and logging settings, in a manageable, version-controlled file, simplifying and replicating the service setup across different environments.

“Compose simplifies the control of your entire application stack, making it easy to manage services, networks, and volumes in a single, comprehensible YAML configuration file. Then, with a single command, you create and start all the services from your configuration file.” - Docker documentation

curl -fsSL https://get.docker.com -o get-docker.sh sudo sh get-docker.sh # Install docker compose sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose # Apply executable permissions to the binary sudo chmod +x /usr/local/bin/docker-compose # Run Project docker-compose up -d

Docker,

This foundation now opens the door to even more powerful concepts. You can explore more advanced concepts such as container networking, streamlining the management of complex applications with Docker Compose, and how to make your application data persistent using volumes.

In many projects that are containerized, especially in cases where development is also done locally with docker-compose, teams often have two Dockerfiles, 1 for Development, the other for Production. If you happen to have multiple environments like pre-prod, staging and so on, some teams could have different Dockerfiles for these environments.

sudo curl -L "https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose