binjgb VS PostgreSQL

This is using my gameboy emulator, binjgb[0], on the website! (well one of my gameboy emulators, heh [1][2]) It's been used as the emulator for GB Studio for a little while now, but I don't know how often people embed it in their websites, so it's really cool to see.

[0] https://github.com/binji/binjgb

Nice work, looks great! I wrote a blog post about the way I did mine a few years back: https://binji.github.io/posts/binjgb-rewind/. You can play with the web version at https://binji.github.io/binjgb/. Reading it back, I was pretty concerned about keeping the size down, but also on reducing dependencies, so I spent a lot of time trying to have a fancy circular buffer.

Big fan of this author's work.

They have a Gameboy emulator written in C, which can be compiled to WASM and run in the browser.

https://github.com/binji/binjgb

I learned a lot from the code.

Also I love this project with a bunch of demos in hand-written WebAssembly Text (WAT) format, which is like low-level Lisp that works only with raw memory, numbers, and minimal syntax.

https://github.com/binji/raw-wasm

Then I discovered the same author is quite active in the WebAssembly ecosystem, including specs and tooling. Fascinating stuff!

https://github.com/WebAssembly/spec

https://github.com/WebAssembly/wabt

Recently I fell into a wormhole, or rather time sink, playing with a Gameboy emulator that runs in the browser.

https://github.com/binji/binjgb

There's something so satisfying about a virtual machine that fits in a ~106K WASM file, that can play hundreds of classic games like Teris and Super Mario Bros (via ROM collections on Internet Archive). I don't usually play games, but this emulator is so cute and fun, I keep coming back to waste time on it.

Actually, PICO-8 was the last time I felt this kind of child-like joy about a computer.

I get a similar feeling from this Infinite Mac project.

https://github.com/mihaip/infinite-mac

It's so pleasing to see a running Macintosh in the browser. That interface feels like an old friend. The underlying VM, BasiliskII, is a little less than 1MB WASM file. Amazing!

From the entertaining article, I learned about "retrocomputing". OK, so that's what I'm into, haha.

Want to create Your own music cartridge (no problem :) You can use our lsdpack-kit constructor. Multiple rom support. But keep in mind that this is still in development.Custom styled HTML emulator based on binjgb could be found here.

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.