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scprodigy

HN member
Joined
Thu, Sep 11, 2014, 4:38 PM UTC
HN karma
138
Public activity
69 items

About scprodigy

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Recent public activity

  1. story
    Ask HN: Why do you need container's fast boot speed?

    Despite of the image and kuberentes, etc., let's talk about where the boot speed of container make sense. For microservices and long-running jobs (build, db migration), does it rea…

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  3. comment
    Comment #17571871

    Hyper.sh is faster, launching your Docker image in 5 seconds.

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  5. comment
    Comment #16337703

    What control do you have?

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  11. comment
    Comment #13003640

    How long does it take launch it on triton?

  12. comment
    Comment #12898607

    Did you try the test with a FIP?

  13. comment
    Comment #12898021

    In my experience, it takes 1min to launch a container in Triton, but 5-10s in Hyper.

  14. comment
    Comment #12897962

    Check out: https://trello.com/c/zAc1ia2E/53-hyper-func

  15. comment
    Comment #12897931

    No, they are in different games basically.

  16. comment
    Comment #12897214

    Let's say you have two images: web and db. Web containers ask for high cpu, but small disk. DB requires big mem and disk. With GKE, you either have different instance types for dif…

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    Comment #12892001

    Don't think so. Though their stack are open source.

  18. comment
    Comment #12891911

    They don't use Linux container, they use hypervisor-based container (see: github.com/hyperhq/hyperd). Therefore it is VM-level isolation.

  19. comment
    Comment #12874502

    Ok, I'm a bit lost too. So, your question is the memory consumed by the VM kernel? The tradeoff is the ops overhead to manage the VM instance.

  20. comment
    Comment #12874130

    But you don't own the server, thus you don't pay for the overhead (if any).

  21. comment
    Comment #12873951

    The value proposition (difference) of Hyper is that while other CaaS try to manage your VM cluster, Hyper makes the cluster just go away.

  22. comment
    Comment #12873872

    In terms of a public cloud service, you (customer) don't care. You pay for the amount of memory you used, whether there is one kernel, or many of them, is irrelevant.

  23. comment
    Comment #12873757

    What overhead?

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    Comment #12195426

    website: https://hyper.sh