• 9 Posts
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Joined 2 years ago
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Cake day: June 11th, 2023

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  • This isn’t exactly a rogue like but there are some similar aspects and I find that it satisfies in the same way. The game is Backpack Battles. Available on Steam. There’s a free demo available too with full mechanics but limited character options.

    This is my default game more for when I have a few minutes to relax and nothing more pressing to do



  • Oh I could easily be wrong about forgo having integrated ci/cd already. It’s the only tool I mentioned shove that I have never used before. I’m not a good source on this one.

    But I have used both flux and argo quite a lot. I’ll admit that it flux implementation was bad, but it was just a bad experience for everyone using it with me. It was a memory hog and often created. Very few people understood how to use it correctly. When there were errors with e.g. a helm template, you just had to go looking for issues and read through the log. It moved git tags around so you don’t get a history of what flux was doing. I could probably remember more issues if I tried.

    But none of that was a problem with Argo. We just started using it successfully on day 1. Plus its UI is fantastic and a huge advantage. It’s easy to navigate, spot issues, troubleshoot, etc. It also exposes users to resources they unknowingly create because Argo displays owned resources. This part really helped people understand what was going on in k8s. Oh and argo is very extensible. Maybe flux is too but I haven’t tried.


  • They’re both good and quite similar on the surface. But I find that larger, more complicated uses tend to get messy with gitlab because of the heavy use of bash. However, actions are (always?) written in typescript. If your automation needs a lot of logic to handle varying uses, then it’s nice to avoid bash and code with a more language.

    In other words, I’ve seen a few monstrosities that large companies build into gitlab and yikes!









  • That basic idea is roughly how compression works in general. Think zip, tar, etc. files. Identify snippets of highly used byte sequences and create a “map of where each sequence is used. These methods work great on simple types of data like text files where there’s a lot of repetition. Photos have a lot more randomness and tend not to compress as well. At least not so simply.

    You could apply the same methods to multiple image files but I think you’ll run into the same challenge. They won’t compress very well. So you’d have to come up with a more nuanced strategy. It’s a fascinating idea that’s worth exploring. But you’re definitely in the realm of advanced algorithms, file formats, and storage devices.

    That’s apparently my long response for “the other responses are right”