Phoenix VS PostgreSQL

A standard Phoenix app contains a priv/repo/seeds.exs script file, which populates a database when it is run, so that developers can work with a conveniently prepared environment.

There was one in the Phoenix Framework (Elixir) about issuing certificates with an invalid end date: https://github.com/phoenixframework/phoenix/issues/5737

Interestingly, Azure had this bug some years ago too leading to an outage. https://azure.microsoft.com/en-us/blog/summary-of-windows-az...

Official website: https://www.phoenixframework.org/

Since you mention Rails, have you seen https://www.phoenixframework.org/

Thus, we set out to build a desktop application using a LiveView from the Phoenix Framework in Elixir. For the uninitiated, a LiveView is a process that receives events, updates its state, and renders updates to a page as diffs. The LiveView programming model is declarative: instead of saying “once event X happens, change Y on the page”, events in LiveView are regular messages which may cause changes to its state.

It seems though like Phoenix is similar like Blazor Server (using web socket), but Phoenix is: SEO friendly (first render is plain html) Light weight, scales well and concurrency is first class Easy to develop (runs a local server so you see live updates) Compiled With auth out of the box https://www.phoenixframework.org/

Sorry to hear this. Phoenix v1.7 changed how it structures files in disk and that broke quite some of the getting started material. However, the guides are always kept up to date, so you can give it a try: https://hexdocs.pm/phoenix/overview.html

You can also see the resources on this page listed by year: https://github.com/phoenixframework/phoenix/blob/main/guides... - the recent launched ones are most likely up to date.

Yes! I love Elixir :) [Phoenix LiveView](https://www.phoenixframework.org/) is really amazing. I feel so fast working in it. I got hooked after watching Chris McCord's ['Build a real-time Twitter clone in 15 minutes'](https://www.youtube.com/watch?v=MZvmYaFkNJI&embeds_referring...), and things have improved a lot since then.

I still work on a lot of Java projects. As of JDK 17 Java has most of "ML the good parts" and has the same scalable, reliable and high-performance threading Java is famous for. JAX-RS provides a Sinatra style framework that makes it easy to write JSON API back ends. JDK 21 is just about to come out as a long term supported version and it will be even better.

I do my side projects in Python with aiohttp and think it is a lot of fun even though people tell me it is suicide (I guess if you block the thread you are in trouble)

I think "Next.js" really wants a node.js backend which has the big advantage that you can share code with the front end and back end. It's basically single-threaded but I know people who are happy with it.

The system I'd most like to try is

https://www.phoenixframework.org/

which is just great if you want to do stuff with websockets that is more interactive than what most people are doing.

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.

A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq:

PostgreSQL