caddy-docker-proxy VS Docker Compose

https://github.com/lucaslorentz/caddy-docker-proxy

It handles the routing to multiple dockerized projects on one server, by scanning docker compose files for labels and automatically setting up the required caddy configuration.

My go to is always this instead:

https://github.com/lucaslorentz/caddy-docker-proxy

Single label to a docker container and with correct DNS you’ll have an automatically managed certificate right away.

I have had a great experience with using this: https://github.com/lucaslorentz/caddy-docker-proxy

It combines caddy with docker-compose labels, making it super easy to spin up new projects that can immediately be exposed.

If you want a slightly heavier but more robust solution, caddy-docker-proxy[0] is a plugin that listens to the Docker socket and automatically updates the Caddy configuration based on Docker labels you add to containers.

I.e. it makes Caddy act a bit more like Traefik. Most of the time, you'll just add the label `caddy.reverse_proxy={{upstreams http 8080}}` to your containers and the plugin will regenerate Caddy's configuration whenever the container is modified.

[0] https://github.com/lucaslorentz/caddy-docker-proxy

I disagree, Caddy works great in Docker. See https://caddyserver.com/docs/running#docker-compose, and CDP is a project that autoconfigures Caddy from labels https://github.com/lucaslorentz/caddy-docker-proxy. Regarding plugins, it's super simple to write a Dockerfile to add plugins, we ship a builder image variant that can be used to compile in any plugins you want.

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This way, Caddy will buffer the request and give 30 seconds for your new service to get online when you're deploying a new version.

Ideally, during deployment of a new version the new version should go live and healthy before caddy starts using it (and kills the old container). I've looked at https://github.com/Wowu/docker-rollout and https://github.com/lucaslorentz/caddy-docker-proxy but haven't had time to prioritize it yet.

Docker labels support is available via a plugin https://github.com/lucaslorentz/caddy-docker-proxy

Or caddy-docker-proxy: https://github.com/lucaslorentz/caddy-docker-proxy

I am trying now for some Days to use a Caddyfile additionaly to the auto generated files from lucas lorentzes caddy repositroy. https://github.com/lucaslorentz/caddy-docker-proxy

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

You can also use Docker Compose to deploy the cluster, without having to write all the previous commands.