containers VS Visual Studio Code

eclipse-temurin:11 https://hub.docker.com/_/eclipse-temurin

Then you build the container. That will download that container that already has linux with java on it, like this one: https://hub.docker.com/_/eclipse-temurin

You can shrink the docker image greatly by starting with an Alpine based one like this https://hub.docker.com/_/eclipse-temurin

> Just imagine the vast number of poorly cached CI jobs pulling gigabytes from Docker hub on every commit, coupled with naive aproaches to CI/CD when doing microservices, prod/dev/test deployments, etc.

I hit the rate limits that others talk of in the comments, which motivated me to use Nexus for both proxying and storing my own container images.

So far, it's been pretty good, I actually wrote about the process on my blog, "Moving from GitLab Registry to Sonatype Nexus": https://blog.kronis.dev/tutorials/moving-from-gitlab-registr...

Another thing that I tried, however, was to only rely upon Docker Hub for the base images that I want (Ubuntu in my case) and then build everything I need on top of that, doing things like installing Java/Node/Python/Ruby/... manually, adding utilities I want across all of the images etc.

Once again, I wrote about it on my blog, "Using Ubuntu as the base for all of my containers": https://blog.kronis.dev/articles/using-ubuntu-as-the-base-fo...

That approach is absolutely more work, but also is something that's underexplored and works really nicely for me. Now I mostly rely on the OS package manager repositories (or mirrors of those), put less load on Docker Hub, don't risk running into its rate limits and also have common base layers across most of the images that I build, which in practice means less data actually needing to be downloaded to any of the servers where I want to utilize my images.

Of course, the downside is that getting something like PHP running was an absolute pain (tried with Apache, didn't work for some reason, then moved over to Nginx), and I technically miss out on some of the more complex space optimizations because if you look at the Dockerfiles for some of the more popular images, like OpenJDK, you'll occasionally see some interesting approaches, like getting the software package as a bunch of files and "installing" them directly, as opposed to using something like apt/yum: https://github.com/adoptium/containers/blob/08dd7d416cee0fe0...

Then again, personally I'd much prefer to rely on packages that I can get from something like apt directly, even if some of those versions can be a bit older (or add the project's official apt repositories as needed).

The FROM looks incorrect. When i watch the Youtube video it mentions adoptopenjdk which is deprecated (https://hub.docker.com/\_/adoptopenjdk). You now should use https://hub.docker.com/_/eclipse-temurin/.

Eclipse Temurin is maintaining a rich collection of Java images.

Intially only the 17 was the musl-native variant, later added 11 and very recently (6 days ago) for 8 as well: https://github.com/adoptium/containers/issues/72

A code editor (VS Code is my go-to IDE), but feel free to use any code editor you're comfortable with.

First, grab your favorite command-line tool, Terminal or Warp, and a code editor, preferably VS Code and let’s begin.

C# is very good as a language, have developed in it for 5+ years. The problem is the gap between what MSFT promises to management and actually delivers to developers. You really really need to fully read the fine print, think of the omissions in documentation and implement a proof-of-concept that almost implements the full solution to find out the hidden gotchas.

For example, even probably their best product VS Code only got reasonable multiple screens support last year: https://github.com/microsoft/vscode/issues/10121#issuecommen...

And then, on the other end of the spectrum, you have Teams.

Hey fellow amazing developers, we got you Essential VS Code Extensions for 2024 (these are especially important for web developers) recommended by our developers at evotik, we wont talk about ESlint nor Prettier which all of you already know.

Visual Studio Code (VS Code): Developed by Microsoft, VS Code is a lightweight yet powerful IDE with extensive support for Python development through extensions. It offers features like IntelliSense, debugging, and built-in Git integration.

In VSCode for example this can be easily done by adding the following .vscode/launch.json file:

I had a near-identical experience. I looked into switching in 2019 and ran into this 2016 bug which was a showstopper for me. Fixed it myself, grand total 4 line diff. https://github.com/microsoft/vscode/issues/10643

When working in Visual Studio Code (VS Code), always create a new Python file for your project.

Code Editor: Choose a code editor like Visual Studio Code that offers good support for web technologies and extensions for PWA development.

When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.