> In March 2026, I migrated to self-hosted object storage powered by Versity S3 Gateway.
Thanks for sharing this, I wasn't even aware of Versity S3 from my searches and discussions here. I recently migrated my projects from MinIO to Garage, but this seems like another viable option to consider.
> The costs have increased: renting an additional dedicated server costs more than storing ~100GB at a managed object storage service. But the improved performance and reliability are worth it.
Were your users complaining about reliability and performance? If it cost more, adds more work (backup/restore management), and the users aren't happier then why make the change in the first place?
I don't get it, if it's running on the same (mentioning "local") machine, why does it even need the S3 API? Could just be plain IO on the local drive(s)
The app was already built against the S3 API when it used cloud storage. Keeping that interface means the code doesn't change - you just point it at a local S3-compatible gateway instead of AWS/DO. Makes it trivial to switch back or move providers if needed.
If the app was written using the S3 API, it would be much faster/cheaper to migrate to a local system the provides the same API. Switching to local IO would mean (probably) rewriting a lot of code.
Surely "read object" and "write object" are not hard to migrate to local file system. You can also use Apache OpenDAL which provide the same interface to both.
Yeah, unless you have the raw S3 API throughout your codebase you should be able to write a couple dozen lines of code (maximum) to introduce a shim that's trivial to replace with local file access. In fact, I've done this in most projects that work with S3 or similar APIs so I can test them locally without needing real S3!
Apart from all these other products that implement s3? MinIO, Ceph (RGW), Garage, SeaweedFS, Zenko CloudServer, OpenIO, LakeFS, Versity, Storj, Riak CS,
JuiceFS, Rustfs, s3proxy.
Riak CS been dead for over a decade which makes me question the rest. Some of these also do not have the same behaviors when it comes to paths (MinIO is one of those IIRC).
Also, none of them implement full S3 API and features.
What kind of vendor lock-in do you even talk about. Their API is public knowledge, AWS publishes the spec, there are multiple open source reference client implementations available on GitHub, there are multiple alternatives supporting the protocol, you can find writings from AWS people as high in hierarchy as Werner Vogels about internals. Maybe you could say that some s3 features with no alternative implementation in alternative products are a lock-in. I would consider it a „competitive advantage”. YMMV.
> part of it is just to lock people into AWS once they start working with it.
This is some next-level conspiracy theory stuff. What exactly would the alternative have been in 2006? S3 is one of the most commonly implemented object storage APIs around, so if the goal is lock-in, they're really bad at it.
> What exactly would the alternative have been in 2006?
Well, WebDAV (Document Authoring and Versioning) had been around for 8 years when AWS decided they needed a custom API. And what service provider wasn't trying to lock you into a service by providing a custom API (especially pre-GPT) when one existed already? Assuming they made the choice for a business benefit doesn't require anything close to a conspiracy theory.
And it worked as a moat until other companies and open source projects started cloning the API. See also: Microsoft.
WebDAV is kinda bad, and back then it was a big deal that corporate proxies wouldn't forward custom HTTP methods. You could barely trust PUT to work, let alone PROPFIND.
When I was in school, we had a SkunkDAV setup that department secretaries were supposed to use to update websites... supporting that was no fun at all. I'm not sure why it was so painful (was 25 years ago) but it left a bad taste in my mouth.
seperate machine I think given the quoted point at the end:
> The costs have increased: renting an additional dedicated server costs more than storing ~100GB at a managed object storage service. But the improved performance and reliability are worth it.
yeah, sure, those 5-10 different API calls would surely be a huge toll to refactor... I'd rather run an additional service to reimplement the S3 API mapping to my local drive /s
Moved object storage from AWS to CloudFlare and have been pretty happy. No problems with performance so far. Bills were 90% cheaper too (free bandwidth)
For this project, where you have 120GB of customer data, and thirty requests a second for ~8k objects (0.25MB/s object reads), you’d seem to be able to 100x the throughput vertically scaling on one machine with a file system and an SSD and never thinking about object storage. Would love to see why the complexity
(Author here) that's more or less what I have right now – one machine with a file system and an SSD. S3 API on top is there to give multiple web servers shared access to the same storage. I could have used something else instead of S3 – say, NFS – but there was a feature request for S3 [1] and S3 has a big ecosystem around it already.
Same here. Had a production node running btrfs under heavy write load (lots of small files, frequent creates) and spent two days debugging what turned out to be filesystem-level corruption. Switched to ext4 and never looked back. The article doesn't mention what filesystem sits under Versitygw here, which seems like a pretty relevant omission for anyone thinking of replicating the setup.
I'd worry about file create, write, then fsync performance with btrfs, but not about reliability or data-loss.
But a quick grep across versitygw tells me they don't use Sync()/fsync, so not a problem... Any data loss occurring from that is obviously not btrfs fault.
Thanks for sharing this, I wasn't even aware of Versity S3 from my searches and discussions here. I recently migrated my projects from MinIO to Garage, but this seems like another viable option to consider.
Were your users complaining about reliability and performance? If it cost more, adds more work (backup/restore management), and the users aren't happier then why make the change in the first place?
Part of it is that it follows the object storage model, and part of it is just to lock people into AWS once they start working with it.
I've worked at a few places where single-node K8s "clusters" were frequently used just because they wanted the same API everywhere.
Also, none of them implement full S3 API and features.
This is some next-level conspiracy theory stuff. What exactly would the alternative have been in 2006? S3 is one of the most commonly implemented object storage APIs around, so if the goal is lock-in, they're really bad at it.
Well, WebDAV (Document Authoring and Versioning) had been around for 8 years when AWS decided they needed a custom API. And what service provider wasn't trying to lock you into a service by providing a custom API (especially pre-GPT) when one existed already? Assuming they made the choice for a business benefit doesn't require anything close to a conspiracy theory.
And it worked as a moat until other companies and open source projects started cloning the API. See also: Microsoft.
And still need redundant backend giving it as API
> The costs have increased: renting an additional dedicated server costs more than storing ~100GB at a managed object storage service. But the improved performance and reliability are worth it.
For this project, where you have 120GB of customer data, and thirty requests a second for ~8k objects (0.25MB/s object reads), you’d seem to be able to 100x the throughput vertically scaling on one machine with a file system and an SSD and never thinking about object storage. Would love to see why the complexity
[1] https://github.com/healthchecks/healthchecks/issues/609
But a quick grep across versitygw tells me they don't use Sync()/fsync, so not a problem... Any data loss occurring from that is obviously not btrfs fault.
On a separate note, what tool is the final benchmark screenshot form?