Nginx VS PostgreSQL

Yeah, unless I'm looking at it wrong, there doesn't seem to be any meaningful difference between 1.25.5 and 1.26.0:

https://github.com/nginx/nginx/compare/release-1.25.5...rele...

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 actually don't understand why I am seeing arguments like this all the time.

Have a look at:

https://github.com/nginx/nginx/blob/master/src/http/modules/...

It's got the whole checklist: nginx idiosyncratic module system, inline parsing, custom utf conversion, buffer preallocation and adjustments, linked lists, comments about side effects of custom allocator, and probably other things.

It's not easy to deal with source like that and any serious improvement to that area would effectively be a rewrite anyway.

Since anything doing work in nginx is a module anyway, it wouldn't even have to be a full rewrite in one go.

According to this article, nGinx is being used to serve 34% of all websites in the world. I checked out who's contributing to nGinx, and just like I thought, the project has 8,208 commits, and 5,366 of those commits was made by 2 software developers; igorsoev and mdounin.

Nginx + Roadrunner (fcgi mode)

Apache’s mod_fastcgi’s last commit was 2 weeks ago:

https://svn.apache.org/viewvc/httpd/httpd/trunk/

It’s a fork of what you linked (and was more popular afaik back when fastcgi was state of the art, and apache was the undisputed champion of web servers).

These days, nginx has more market share than apache, and its fastcgi module is one of the more recently updated ones in its source tree (5 months vs multiple years):

https://github.com/nginx/nginx/tree/master/src/http/modules

If I was going to build an embedded web server, I’d start with nostd rust, probably with though axum + tokio, since thats already memory safe-ish.

If I needed fastcgi for some reason (dynamically loadable endpoints, or os-level isolation), there are at least four implementations of fastcgi for it. No idea if any are decent though.

APISIX is an API Gateway. It builds upon OpenResty, a Lua layer built on top of the famous nginx reverse-proxy. APISIX adds abstractions to the mix, e.g., Route, Service, Upstream, and offers a plugin-based architecture.

Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance

PostgreSQL

The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.

Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

Node.js, MySQL and PostgreSQL servers installed on your machine

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).

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.