batect VS Docker Compose

https://batect.dev/ this is like Act but agnostic and public

If you're dockerizing a dev environment check out batect, it's kind of like the combo of docker-compose + make (i.e. simple script running) that is really the tool we all just want: https://batect.dev/ It can easily define one-off container tasks like integration test runs with just a couple lines of config.

Earlier this year at $DAYJOB I was on a project to uplift the deployment pipelines and DevOps capabilities within the team. Today we have full Continuous Deployment, Trunk Based Development, and SlackOps. I've written a couple of articles below on the approach we took which was around heavy use of Docker and the tool Batect.

Go the next step and run a local kubernetes cluster with kind or k3s (it will take you 30 seconds to have a k8s cluster going). IMHO the kubectl CLI is a lot more logical than docker's CLI. You can create all your local storage volumes ahead of time, create a pod that attaches to it, and then just kubectl exec into the pod vs. writing a long fiddly docker command line string (or crafting a docker-compose.yml). It's easy to adjust the pod as necessary while it runs too, like adding a service to expose ports without rerunning the container.

But if you do like the idea of docker dev environemnts, check out a tool like batect: https://github.com/batect/batect It's somewhat like if docker-compose had make-like commands you could define. Your whole dev environment and workflow can be defined in a simple yaml config that anyone can use.

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.