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Joined 1 year ago
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Cake day: June 15th, 2023

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  • As someone who bought Half Life 2 when it was released …

    I only remember people being excited about Steam, Web stores weren’t a thing back then and they were the future! (It was the following years of audio and ebook stores locking stuff down and evapourating that taught us to hate it).

    Game/Audio CD DRM hacking the kernel and breaking/massively slowing down your PC was pretty common back then and Steam’ s DRM didn’t do that.

    The HL2 disc installer didn’t require you to install Steam, once installed it asked you to setup Steam and there was a sticker under the DVD with the Steam code for you to enter.

    You were then rewarded with a copy of HL2 Deathmatch and Counterstrike Source.

    Steam wasn’t always on DRM, back then ADSL/DSL was relatively new and alot of people were still stuck on Dial Up modems.

    Steam let you sign in and authorize your games for 30 days at which point you would need to log into Steam again. This was incredibly helpful feature for young me.


  • stevecrox@kbin.socialtoGames@lemmy.worldWhat's up with Epic Games?
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    7 months ago

    Basically Epic like every other publisher has created their own launcher/store.

    They aren’t trying to compete on features and instead using profits from their franchise to buy market share (e.g. buying store exclusives).

    The tone and strategy often comes off as aggressive and hostile.

    For example Valve was concerned Microsoft were going to leverage their store to kill Steam. Valve has invested alot in adding windows operability to Linux and ensuring Linux is a good gaming platform. To them this is the hedge against agressive Microsoft business practices.

    The Epic CEO thinks Windows is the only operating system and actively prevents Linux support and revoked Linux support from properties they bought.

    As a linux user, Valve will keep getting my money and I literally can’t give it to Epic because they don’t want it.




  • Mint was a reaction to Gnome 3, the unique workflow upset a lot of people and the people behind Mint decided to build Cinnamon desktop (its Gnome 3 made to look/work like Gnome 2). They needed a distribution to build/test their work and so based a distribution off of Ubuntu and called it Mint.

    As a bit of explanation, there are only a few projects which attempt to build an entire linux distribution from scratch. This involves finding code from thousands of sources, work out packaging, etc… We call these ‘base’ distributions, Debian is the base distribution for Ubuntu, Ubuntu is the base distribution for Mint.

    Ubuntu tends to be slightly ahead of Debian in the software versions it uses and automatically enables the ‘non-free’ repositories. Ubuntu tends to push some Canonical specific things like Snaps (which everyone hates)

    I believe Mint rolls the Canonical specific things out of Ubuntu and you get the latest version of Cinnamon.

    Its all a bit…


  • If its for work I would suggest picking a “stable” distribution like Debian, Kubuntu or OpenSuse.

    A lot of people recommend Arch or Fedora but the focus of those is getting the very latest releases, which increases your chance of stuff breaking.

    A lot of people will suggest niche distributions, those can be great for specific needs but generally you will always find Debian/Ubuntu/RHEL support for commercial apps.

    I would also suggest looking at the KDE Desktop, many distributions default to Gnome but it is unique in how it works, KDE (or XFCE) will provide a desktop similar to Windows 11.

    Lastly I would suggest looking at Crossover Linux by Codeweavers.

    Linux has something called WINE, its an attempt to implement the Windows 95 - 11 API’s so windows applications can run on linux.

    WINE is how the Steam Deck/Linux is able to play Windows games. Valve embedded it into Steam and called it “Proton”.

    WINE is primarily developed by Codeweavers and they provide the Crossover application that makes setting up and running a Windows application really easy.

    People will mention Lutris but that has a far higher learning curve.

    There is an application database so you can see in advance if your applications would work: https://appdb.winehq.org/


  • This advice isn’t grounded in reality.

    Management normally defines ways to track and judge itself, these are typically called Key Performance Indicators.

    KPI’s are normally things like contract value growth, new contracts signed, profit margin, etc…

    So if the project manager is meeting or exceeding their KPI’s and you walk up to their boss telling them the PM is failing as basic job functions, the boss won’t care.

    This is because the boss might have set the KPI’s or the boss might also be judged on them. In either situation its to the bosses advantage to ignore you.

    The boss will only care if there is a KPI you can demonstrate the PM failing to meet.

    Every person/group will have various incentives and motivations. To affect change you have to understand what they are.



  • A project manager has responsibility for delivery of a project but they typically lack domain specific knowledge. As a result they can’t directly deliver something, merely ask subject matter experts for advice and facilitate a team to deliver.

    Most PM’s cope with the stress of this position poorly.

    This cartoon is an example of micro management (a common coping mechanisim), the manager has involved themselves in the low level decisions because that gives a sense of control. If a technical team then tell them its a bad decison the team are effectively attacking their coping mechanisim.

    The solution isn’t to tell them their technical idea is terrible, when you’ve fallen down this rabbit hole you have to treat the PM as a stakeholder. They are someone you have to manage, so a common solution is to give them confidence there is a path to delivery, a way to track and understand it.


  • During the pandemic I had some unoccupied python graduates I wanted to teach data engineering to.

    Initially I had them implement REST wrappers around Apache OpenNLP and SpaCy and then compare the results of random data sets (project Gutenberg, sharepoint, etc…).

    I ended up stealing a grad data scientist because we couldn’t find a difference (while there was a difference in confidence, the actual matches were identical).

    SpaCy required 1vCPU and 12GiB of RAM to produce the same result as OpenNLP that was running on 0.5 vCPU and 4.5 GiB of RAM.

    2 grads were assigned a Spring Boot/Camel/OpenNLP stack and 2 a Spacy/Flask application. It took both groups 4 weeks to get a working result.

    The team slowly acquired lockdown staff so I introduced Minio/RabbitMQ/Nifi/Hadoop/Express/React and then different file types (not raw UTF-8, but what about doc, pdf, etc…) for NLP pipelines. They built a fairly complex NLP processing system with a data exploration UI.

    I figured I had a group to help me figure out Python best approach in the space, but Python limitations just lead to stuff like needing a Kubernetes volume to host data.

    Conversely none of the data scientists we acquired were willing to code in anything but Python.

    I tried arguing in my company of the time there was a huge unsolved bit of market there (e.g. MLOP’s)

    Alas unless you can show profit on the first customer no business would invest. Which is why I am trying to start a business.



  • See my goto is Java/Spring Boot or Typescript/TSOA.

    I avoid Python because Setuptools/Twine/FastAPI/\ docs conflict and seems to change so creating a good practice project layout is a huge time sink and none of the Python devs I meet seem to understand it.

    I am doing GoLang atm, its ok but dev adoption is low where I am and no one has shown me a killer library/framework and being controlled by Google I am waiting for them to get bored and kill it.

    Spring Boot takes longer to get going than TSOA/Express but hibernate makes SQL interactions trivial. I love typescript but types makes complex NoSQL queries far more convoluted than Java equivalents (its because Types can’t inherit and client libraries don’t use interfaces). So TSOA rocks in cases of speed or simplicity.





  • Tesla actually market it as a positive.

    Car manufacturers have to setup different manufacturing lines to provide different feature levels. Tesla argue this makes them more expensive. Tesla cars have all features installed, just disabled and the optional extra packages are cheaper compared to their rivals as a result.

    To be honest there is a certain logic, if you’ve ever been in a Ford Focus LX (bottom range) its pretty clear they had to spend quite a bit of money on more basic systems. I honestly thought each LX was sold at a loss


  • @ergoplato I didn’t suggest that.

    Personally I don’t think its ego. I think you have two issues.

    The first is people go through stages learning DevOps. Stage 1 has people deploy a CI because its cool, they build a few basic pipelines and then 90% of people get bored. The 2nd stage is people start extending those pipelines, it results in really complex pipelines requiring lots of unique changes based on the opinion of the writer. You move to the 3rd stage when your asked to recreate/extend for a new project and realise how specific your solutions are.

    Learning how to make minor tweaks and hook in a few key points to get what you want takes years. Without that most packagers will want to make big changes upstream which won’t go down well.

    The second issue, I have met quite a few developers who become highly stressed when the build system is doing something they haven’t needed to do or understand.

    A really simple example I have a Jenkins function which I tend to slip into release pipelines, it captures the release version and creates a version in Jira.

    I normally deploy it first as a test before a few other functions to automate various service management requirements.

    Its surprising how many devs will suddenly decide every problem (test failed, code failed review, sharepoint breaks, bad os update, etc…) is due to that function.

    For me this little function is a test, if the team don’t care I will work to integrate various bits. If they freak out, I’ll revert decide if it is worth walking them through the process or walk away.


  • One of the reasons for the #DevOps movement is developers see building and packaging as #notmyjob.

    The task would historically fall on the most junior member of the team, who would make a pigs ear out of it due to complete lack of experience.

    This is compounded by the issue that most C/C++ build systems don’t really include dependency management.

    Linux distributions have all tried to work out those dependency trees but they came up with slightly different solutions. This is why there are a few “root” distributions everything branches from.

    That means developers have to learn about a few root distributions to design a deb/rpm/aur package systems to base their release around.

    That is a considerable amount of learning in a subject most aren’t interested in.

    The real question is why don’t package maintainers upstream a packaging solution?


  • Github stars is not a good metric, firstly because KBin is hosted on codeberg but mainly because a healthy project has lots of unique contributors and regular updates/enhancements.

    KBin has 79 open Pull Requests, while Lemmy has 29. From a visual check PR’s seem to be older than 2 weeks. Its hard to say one is “healthier” than the other, without scraping information into a spreadsheet.

    Secondly Rust is new and has a lot of hype surrounding it, as a result you get a lot of people using it on random projects.

    Languages have strengths and weaknesses and developer ecosystems build on the strengths.

    For example if I was writing a web application with a database backend I would choose C#, Java or Node.js because there are loads of libraries, tools and frameworks to make it really easy.

    Rust is gaining a lot of adoption by embedded system users (replacing C mostly). Lemmy is the only Rust based web server project I am aware of. Which means the level of work to do anything and to keep it updated falls on the Lemmy devs rather than spread out amongst a larger community.

    Everyone loves to insult PHP but it has a niche in webservers and won’t disappear anytime soon. KBin effort will thus be spent on KBin.


  • There is a standard for sharing tweet style information and for threaded type information between websites.

    You have software which implements the tweet standard (Mastodon), the threaded standard (lemmy) and both (KBin).

    You’ll notice some communities will be community@kbin.social or community@kbin.cafe, etc… this indicates they are not local to the website your using and those addresses are KBin instances, its just your website has a copy of the information.

    KBin is newer than Lemmy, it has a fairly simple responsive design that works well on mobile. Lemmy has a REST api so its easier to build mobile applications, a lot of people seem to expect/need to access websites via mobile applications.

    The key difference is Lemmy is developed by Tankies, they think China’s genocide of Ughurs is justified and they administer lemmy.ml.