endoflife.date VS Ruby on Rails

> where you can see overlapped timelines when support ended

I tried to generate a visual timeline for a given page (https://github.com/endoflife-date/endoflife.date/pull/2859, has some screenshots), but it was limited to a single page (so you'd only see nokia devices at once for eg).

It turned out that it is too hard to generate clear charts with vague data. We often only know whether is device is supported or not (true/false, see comments about samsung below in this thread), and don't have clear release dates.

I'll get to it someday (PRs welcome), but it might not work for the usecase we want (picking phones) because data on mobiles is very vague.

repairability score -> sounds interesting, will file an issue and see. The hard part is that there's no clear identifiers for devices (SWID/CPE are just not good enough) for us to track this kind of data from elsewhere easily.

Here's the PR where it was added by a user, "Based on a Rails core team member's comment"...

A lot of the communications regarding End of Life for Support is done very effectively here: https://endoflife.date/

https://endoflife.date (not mine)

a little similar to endoflife.date if anyone has ever come across it for Software versions?

We do this at https://endoflife.date API, and it works quite well.

I've created the `db.json` with the [end of life](https://endoflife.date/) api.

Something I've recently worked on is building an SQLite database of all the dependencies my organisation uses, which makes it possible to write our own queries and reports. The tool is all Open Source (https://dmd.tanna.dev) and has a CLI as well as the SQLite data.

Ive used it to look for software that's out of date (via https://endoflife.date), to find vulnerablilities (via https://osv.dev) and get license information (via https://deps.dev)

It's been hugely useful for us understanding use of internal and external dependencies, and I wish I'd built it earlier in my career so I could've had it for other companies I've worked at!

This is neat: https://endoflife.date/

I'm looking for a 3rd party vendor that can do the mindlessly tedious work of maintaining a library of software support dates. Think hundreds of thousands/millions of versions of software in an enterprise with ridiculous tech debt. Something like endoflife.date but much more far encompassing.

[0] is a my favorite demonstration of it.

[0]: https://github.com/rails/rails/commit/b83965785db1eec019edf1...

Here's a real life example: Imagine a Ruby on Rails app on which a team of developers are working. The code is hosted on GitLab and all the work is coordinated using GitLab issues. In other words: For every commit, there's an associated issue and the issue number acts as a sort of primary key for documentation, time reporting and so forth. This convention has a few advantages, most notably the ability to easily learn more about how, when and by whom features were implemented as well as how this implementation came to be.

Ruby on Rails is regarded as one of the best ruby frameworks. It was the primary language in developing big projects such as Twitter and helped the language boost the community. Often referred to as “Rails,” Ruby on Rails is a web development framework with an MVC control structure and currently running its 6.1 version. The 16-year-old language has dramatically influenced the web development structures and managing databases, web pages, and other components on a web application.

In Rails 7.1, a new option _instance_methods is introduced, allowing developers to opt-out of the automatic generation of instance methods for enums. When enum is defined with _instance_methods: false, Rails will no longer generate methods like pending?, processed?, etc.

Rails isn't super opinionated about database writes, its mostly left up to developers to discover that for relational DBs you do not want to be doing a bunch of small writes all at once.

That said it specifically has tools to address this that started appearing a few years ago https://github.com/rails/rails/pull/35077

The way my team handles it is to stick Kafka in between whats generating the records (for us, a bunch of web scraping workers) and and a consumer that pulls off the Kafka queue and runs an insert when its internal buffer reaches around 50k rows.

Rails is also looking to add some more direct background type work with https://github.com/basecamp/solid_queue but this is still very new - most larger Rails shops are going to be running a second system and a gem called Sidekiq that pulls jobs out of Redis.

I'm looking forward to see what extractions from this will land on rails. For example: https://github.com/rails/rails/issues/50454

Here is what strict_loading does (source):

Kamal is a wonderfully simple way to deploy your applications anywhere. It will also be included by default in Rails 8. Kamal is trivial, but I don’t recommend using it on your development machine.

Here's the GitHub milestone I've based this article on — https://github.com/rails/rails/milestone/87