The sub-millisecond writes with data in S3 is false and impossible. If you look at the benchmark the fsync is not timed, so this is just the latency of either the network or in kernel file operations depending on the mount settings
For a good S3 fs look at geesefs https://github.com/perrynzhou/geesefs-s3
From the docs:
> ZeroFS fetches object data in 128 KiB parts
Read/write operations in object storage are _far more_ expensive than stored bytes. I'm always afraid of anything that abstracts over S3/GCS access specifically for that reason.
One of the reasons why ZeroFS seems interesting is they use SlateDB under the hood, which optimizes the requests that hit S3 behind the scenes.
Especially that the “one fetch” is who knows how many reads and retries under the hood.
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Entrusting data storage to a vibe coded filesystem seems imprudent.
Is it? :)
Ask me anything!
Here is my unsolicited advice:
If one of your goals is to get others to adopt the software, I recommend you redo the marketing page and readme from scratch. Delete them without looking at them again, then hand write the content for them. Once you have the content, you call tell an LLM to format it into a nice landing page, but strictly keep your wording without changes.
That's fair advice, thanks.
FYI it looks like some of your comments are getting auto-flagged by the HN moderation system and marked as dead
I’ve seen things like this before; your key differentiator needs to be efficiency and safety compared to other options.
I believe the first version of this required the metadata to be stored on the ZeroFS server, making HA kinda hard.
This has changed now that if I stop the server and create a new instance with the same configuration file it'll pickup the existing metadata from the bucket?
> The test suites run in public CI.
> Each card links to the CI pipeline.
Thanks for being explicit, AI written marketing site. Wouldn't have been able to figure that out! Every currently maintained and reasonably popular open source project either runs CI in public or makes the tests extremely easy to run.
I got the same vibe from
> These are asciinema recordings of real terminal sessions, rendered as text rather than video. Playback caps idle pauses at two seconds and changes nothing else.
Thanks? This sounds like it's the LLM's response to the prompter, not something you should display on the page itself...
I feel bad for actually liking that part now. Capping pauses at 2 seconds would show you where it hung 2+ seconds without wasting your time. Smart I thought.
Thank you for the feedback, the idea behind this was to say "We make claims that are backed by workflows you can verify". I'll improve the phrasing.
How does this compare to JuiceFS or SeaweedFS in terms of metadata latency? The LSM tree approach is interesting but compaction pauses on a remote-backed store seem like they could be painful.
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See also: JuiceFS, S3FS, and quite a few others.
We have done loads of research into using object storage wherever we can (given how cheap it is compared to SSDs), and so far it seems like making your application object store-aware is a far surer bet than abstracting S3 behind the file system. The behavior is just too different.
I'm more interested in applications that cleverly use object storage, e.g. AutoMQ, which is quite compatible with Kafka APIs but needs no HDDs.
s3fs doesn't provide posix semantics. It's good enough™ for some uses, but not comparable to what this one is ostensibly providing.
Seems purely vibecoded
wonder when we get agents good enough that we can't say vibecode any more and have to say 'code'.
there was slop with ai jesus but now gpt image is just a photo with hidden watermark
Why does this landing page load js from merklemap.com?
Both projects have the same author.
Just a self hosted plausible instance :)
Under the hood, S3's storage nodes are also built on a log-structured file system: https://cdn.amazon.science/77/5e/4a7c238f4ce890efdc325df8326...
(Not posix compliant because it doesn't need to be.)
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I hate it when databases celebrate their performance without synchronous flushing. You should be clear about data loss window (which should be zero for committed transactions by default!) and the flushing interval to persistent storage.
I'm okay if you batch writes, I'm okay if you offer a low-latency mode with less durability, but by being unclear about this it just feels like a scam.
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