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Cake day: June 2nd, 2023

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  • I think it is safe to say that OP’s question was lay speak for “what is the mean time to get to a result”. Other than that I don’t think you actually addressed the question.

    Let me try to get it started:

    Randomly generating music might be akin to password cracking. Cracking short or simple passwords can be very fast, while cracking long or complex passwords can be very long. The rate of password guessing also affects the time to get a result.

    To calculate an answer, we need the following information:

    • Guessing speed (how fast is each “song” generated and checked?)
    • Minimum “song” length that needs to be generated
    • Complexity of “song”: how many instruments (“voices”), resolution (are whole notes only ok, or do we need. Half or quarter notes?)
    • Settle on some subjective definition of “song”. Is S.O.S. in morse code a “song”

    You might be able to take a genre of music, and decompose the songs within to get some answers… I don’t have the time for that. Anyone want to take a stab at estimating the calculation?




  • SkyNTP@lemmy.mltoSelfhosted@lemmy.worldDocker is hard work
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    17 days ago

    I guess it depends what you run, and how the projects/containers are configured to handle updates and “breaking changes” in particular.

    But also, I’m being a bit broad with the term “breaking changes”. Other kinds of “breaking changes” that aren’t strictly crashing the software, but that still cause work include projects that demand a manual database migration before being operational, a config change, or just a UI change that will confuse a user.

    The point is, a lot of projects demand user attention which completely eclipses the effort required to execute a docker update.









  • I enjoyed the depth of this answer. That being said…

    4 copies seems like a level of paranoia that is not practical for the average consumer.

    3 is what I use, and I consider that an already more advanced use case.

    2 is probably most practical for the average person.

    Why do I say this? The cost of the backup solution needs to be less than the value of the data itself x the effort to recover the incrementally missing data x the value of your time x the chance of failure.

    In my experience, very few people have data that is so valuable that they need such a very thorough backup solution. Honestly, a 2$ thumb drive can contain most of the data the average user would actually miss and can’t easily find again scouring online.






  • While you are not wrong about these different specialities within the trade, there can still be an effect. Let me illustrate:

    Suppose you like bananas but not apples. One day there is an apple disease that kills most of the apple trees leading to a collapse of the apple market. You feel relieved because you don’t eat bananas anyways. But you go to the supermarket and find that not only are the apple shelves empty, the banana shelves are empty too! Why? Well people still gotta eat, and not everyone is as picky as you, they switched to bananas and now the banana market is under supplied too. And it’s not like you can build a banana farm overnight.

    Back to electricians, if the salaries of data center electricians increases rapidly, you will find that those electricians who are qualified for both (even if it is just a very small number) might focus on data centres, straining the supply of residential electricians. Just like with banana orchards, it takes time for new electricians to enter the market, and those new hires will further be swayed to the data center specialty first, further straining the residential market.

    We can see a real example of this with the price of RAM. RAM manufacturers saw increased demand for data centre RAM so they switched focus to that market and it ended up drying out the consumer side supply, hence the surge in price. And just as with banana plantations and electricians, you can’t start up a RAM fab overnight.