docker VS Docker Compose

Everything is working fine, but it is not currently doing the automatic code reload. I tried mounting the volume but there is some conflict with the way docker and virtualbox handles files such that the conflict leads to file changes from the host not reflected in docker container. (That's not the first link I have that appears related to this problem, it's just the first I found while googling it on another day)...

github.com/docker/docker/client

Moby is the core of Docker. https://github.com/docker/docker redirects to it.

Docker however has made some major screwups in their IPv6 implementation, so it’s not so trivial as you’d expect it to be. There’s a whole discussion about it here: https://github.com/docker/docker.github.io/issues/6075 but the gist is: Docker cannot auto-assign addresses (SLAAC) like a normal endpoint, it also cannot request a prefix (DHCPv6 PD) like a router, you have to set it all up manually.

[1] https://github.com/docker/docker.github.io/issues/5325

That said, Swarm is definitely in maintenance mode, which is actually how some people like it, given that this means pretty good stability for the current features, instead of breaking changes, which are a slightly larger concern in the case of Kubernetes. However, this also means that new features will get implemented only occasionally, if ever - the last big one that i recall was Swarm jobs. Essentially, i'd say that it's still just a question of time until Swarm dies, but for now it's in the sweet spot of stability and usability if all that you need is a pretty simple and lightweight orchestrator.

From scrounging through the internet, my understanding is if multiple docker containers are run based on the same image, the only extra disk space used is what the writable layer uses and the read-only image data is shared by all the containers. https://github.com/docker/docker.github.io/issues/1520#issuecomment-305179362

Wowww: https://github.com/docker/docker.github.io/issues/6910#issue...

What the hell does "Docker's new direction to go back to its roots and focus on developer tooling" even mean? Docker is developer tooling, that's the whole product. That's not "going back to your roots" that's just doing your damn job.

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