Caddy VS Docker Compose

These projects use Caddy as my local development server, Dart Sass for converting my Sass files to CSS, elm, elm-format, elm-optimize-level-2, elm-review, elm-test (only in Calculator), ShellCheck to find bugs in my shell scripts, and Terser to mangle and compress JavaScript code.

No, look at the associated unit test: https://github.com/caddyserver/caddy/blob/c6eb186064091c79f4...

If that test fails we could serve PHP source code instead of having it be evaluated, a major security flaw.

However, it's very unlikely that .NET developers will directly expose their Kestrel-based web apps to the internet. Typically, we use other popular web servers like Nginx, Traefik, and Caddy to act as a reverse-proxy in front of Kestrel for various reasons:

I think that recompiling with upgraded Go will not solve the issue. It seems Caddy imports `golang.org/x/net/http2` and pins it to v0.22.0 which is vulnerable: https://github.com/caddyserver/caddy/issues/6219#issuecommen....

Caddy [1] is a single binary. It is not minimal, but the size difference is barely noticeable.

serve also comes to mind. If you have node installed, `npx serve .` does exactly that.

There are a few go projects that fit your description, none of them very popular, probably because they end up being a 20-line wrapper around http frameworks just like this one.

[1] https://caddyserver.com/

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

So I dug a little deeper and came across this gem: Caddy. Caddy is this fantastic, extensible, cross-platform, open-source web server that's written in Go. The best part? It comes with automatic HTTPS. It basically condenses all the work our scripts and manual maintenance were doing into just 4-5 lines of config. So, stick around and I'll walk you through how to set up an automatic SSL solution with Caddy, Docker and a Node.js server.

Let's use Caddy which can act as reverse-proxy with automatic HTTPS coverage.

Even if it may be simple, it doesn't handle edge cases such as https://github.com/caddyserver/caddy/issues/1632

I personally would make the trade off of taking on more complexity so that I can have extra compatibility.

One of the most heavily used Russian software projects on the internet https://www.nginx.com/blog/do-svidaniya-igor-thank-you-for-n... but it's only marginally more modern than Apache httpd.

In light of recently announced nginx memory-safety vulnerabilities I'd suggest migrating to Caddy https://caddyserver.com/

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