I am still building up my personal pet project: https://github.com/hairizuanbinnoorazman/slides-to-video; the aim of this project is a personal one - to build up a set of microservices that is able to be deployed in various ways such as locally via Docker Compose or even to Kubernetes or the serverless Cloud Run platform on Google Cloud Platform. There was a previous blog post describing an initial part of this journey: Lessons on building the project - Part 1
While building Elm based frontends, I decided to take the opportunity to learn on how to craft a chat application. Truthfully, I’ve never really built one before (nor do I need to). But it does seem like an interesting programming exercise to kind of go thru - in order to understand how such applications are built, deployed, scaled and managed. For the frontend, I’m mostly set to use Elm (probably you’ve seen a previous post on my “dislike” for other Javascript based frameworks, which is essentially all the popular ones in the market). For backend, I will probably stick to Golang since that is the language I’m most comfortable with (all hail statically typed languages)
BMI or Body Mass Index is calculated by taking one’s weight (in kilogram) and divided by the square of the height of the person (in metres). You can utilize the following tool below to quickly calculate this.
To view the Elm component in action - scroll down to the Elm Component Demonstration section
Motivation # I wanted to learn to try to write a Frontend Application that provide some sort of dynamic functionality - e.g. doing quick mathematical calculation, fetching data from some backend APIs etc. However, the frontend world is a pretty complex world (and continues to be so to date) - there are many factors to take note when writing it:
There is an interesting Javascript project that allows one to use just plain old text and convert those said text into diagrams.
graph TD Start --> Stop Text to that converts to the above diagram: