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Setting up your own is not that hard and if you bought some compute before the Altman squeeze, very cheap.
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Def!

My personal belief is that the future of an "app" is a combo:

    1. micro VM
    2. agent on the VM
    3. software bundled into the VM

So, it should be stupid simple to run these local sandboxed apps/agents. Right now, not too hard for technical users (esp. with things like https://smolmachines.com/ and https://microsandbox.dev/), but not as easy as clicking an app icon or typing `/path/to/binary` in the CLI
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Microsandbox claims to start faster than docker, and it is isolated from the host, and to work with OCI. Why would I still want to use docker? The only reason I can imagine is that I actually want to be able to dynamically share resources between containers instead of dividing up VMs a priori.

Ah, the significant compute overhead: https://josecastillolema.github.io/podman-wasm-libkrun/. Much more cpu and ram usage at worse performance.

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I was going to add a comment praising smolmachines' smolvms. Simple, fast (sub-200ms cold start), OCI-compat, and has trivial packing to standalone 0-dep executables. No need for Docker Desktop / colima / orbstack. For those who prioritize security, kernel isolation is a meaningful benefit.
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You basically described exe.dev
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How do you do it?
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Why isn't libkrun good enough for hosted stuff? I use it as a podman backend in a microservice architecture.
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Firecracker has more tooling for the orchestration layer that manages many sandboxes at once. Stuff like K8S integration, an external REST API control plane, more first-class support for snapshotting, etc.

You'd have to build more of that with libkrun

The core tech of both are great though.

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What people aren't getting with `firecracker` is utilization. Don't get me wrong, `firecracker` is great software and it's what I'm using for lightweight virtualization, but workloads are really bursty over really short periods of time now, even with the snapshot and restore that you can get if you're willing to hack on `firecracker` substantially, you hit walls where it's like, this is too much against the grain, this thing wasn't designed to bounce from 1 core to 32 to 8 to 16 to 4 to 32 to 1 seamlessly, and that's what it takes to get extreme utilization even with extremely good ML on the prediction.

I am quite sure I'm not the only person working on post-firecracker KVM.

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I designed my take to basically eliminate the concept of vm being a rigid box of cpu/memory with CPU oversubscription and virtio-ballooning on memory + sparse ext4.

That way it can be elastic in CPU, memory and somewhat disk.

How far are you on your take?

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Thanks for sharing these!
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