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Dev tools · July 15, 2025

CallFS – S3-style object store in one Go binary (MIT)

We started CallFS after yet another late-night “why did the uploads vanish?” incident. Our small team had stitched together rsync, a fragile NFS mount, and an S3 bucket—none of it observable, all of it waiting to bite us. So we wrote a single-process file service in Go that: • Speaks the S3 API (so existing tooling works). • Stores hot data on local disks for speed; cold data can sit in any S3-compatible bucket. • Exposes Prometheus metrics and JSON logs by default, because “what happened?” shouldn’t be guesswork. • Ships as a ~25 MB static binary—no external deps, MIT license. Today it’s…

CallFS – S3-style object store in one Go binary (MIT) launched on July 15, 2025 with 66 votes, #531 of 9,223 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.

Visit github.com ↗Alternativestop 6% of July 2025

In plain words

CallFS is an S3-compatible object storage service built as a single Go binary. It stores frequently accessed data locally on disk for speed while archiving cold data to S3-compatible buckets. The service includes built-in Prometheus metrics and JSON logging for full observability, addressing the reliability challenges of fragmented storage systems. It requires no external dependencies, ships as a 25 MB binary, and is suitable for teams running single-node or parallel deployments.

written from the facts on this page · September 2026

From the sources

CallFS gives teams a production-ready, self-hosted file-service with local-disk speed and S3 durability. Instant cross-server conflict detection, Prometheus metrics, JSON logs – all in one Go binary. Launch, scale, observe.

CallFS is an ultra-lightweight, high-performance REST API filesystem that provides precise Linux filesystem semantics over various backends including local filesystem, Amazon S3, and distributed peer networks - ebogdum/callfs

In the maker’s words, at launch

We started CallFS after yet another late-night “why did the uploads vanish?” incident. Our small team had stitched together rsync, a fragile NFS mount, and an S3 bucket—none of it observable, all of it waiting to bite us. So we wrote a single-process file service in Go that: • Speaks the S3 API (so existing tooling…

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