Automated Self-Hosted Backup Monitoring and Verification
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Automatically schedule, verify, and alert on backups for self-hosted servers and NAS devices so you never discover a corrupt or missing backup when it's too late.
Added Apr 19, 2026
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The Problem
Self-hosters and homelab users running Docker, NAS devices, and VPS servers lack a simple, reliable way to automate and verify backups. Existing tools like Duplicati can silently corrupt backups, while manual strategies are forgotten or fail without notice. Most users have no confidence their backups would actually restore successfully in a disaster.
Potential Solution
A lightweight SaaS dashboard that integrates with popular backup engines (restic, Duplicati, Borg) to schedule backups, run automated restore-verification tests, and send real-time alerts on failures or silent corruption. It enforces 3-2-1 backup rules by coordinating local, NAS, and offsite cloud destinations from a single interface, with a restore-test report users can review without manual intervention.
Why Now?
Self-hosting has surged with the rise of affordable VPS deals, Raspberry Pi homelab culture, and Docker-based app stacks, creating a large base of technical-but-not-ops-focused users managing critical data with ad-hoc backup strategies. Growing awareness of backup corruption bugs in popular tools like Duplicati has made reliability a hot topic in the community.
Fractalbits - S3 compatible high performance object storage with 1M p99 ~5ms iops
[Benchmark screenshot showing GET performance](https://preview.redd.it/n06lrqr6bf3g1.png?width=2023&format=png&auto=webp&s=1ff2f3bf8bb7240f4728a8d3a2ebdd894ad1dbaa) See details in [https://github.com/fractalbits-labs/fractalbits-main/tree/main](https://github.com/fractalbits-labs/fractalbits-main/tree/main) and welcome feedback!
fractalbits: The ultimate S3 compatible high performance object storage in the AI era, supporting both actix & axum, using rust + zig
Hi all, today I am pleased to open source the fractalbits api\_server, supporting both **actix & axum** framework. FractalBits is an S3-compatible object storage system designed for high performance and low latency. Using our custom-built metadata engine, it delivers up to 1 million 4K read IOPS for single bucket with p99 latency \~5ms, at significantly lower cost than AWS S3 Express One Zone. Unlike standard S3, FractalBits provides native atomic rename support for both objects and directories. Our storage engine is implemented with Zig, for its simpler io\_uring programming model and easier customized memory allocators. We are not open sourcing those parts yet, since the language is still moving to new async IO APIs. However, you can check how we make the two languages get along with each other well by checking our high performance rpc framework if interested. Other than that, We are basically **using rust to manage almost everything for our project**: build, dev env setup, testing setup and running, and also cloud deployments, without using a single line of shell script! Our repo link is below, and welcome to have a try and leave any feedback. I will also be pleased to answer any related questions: [https://github.com/fractalbits-labs/fractalbits-main](https://github.com/fractalbits-labs/fractalbits-main)
I built something for devs tired of cloud pricing. StorForge: • S3-compatible storage • 500GB for $1.50/month • Works with rclone, SDKs, existing tools • Encrypt before upload (you keep the keys) No ecosystem lock-in. No pricing games. https://storforge.io
AWS S3 pricing pushed me to build this. StorForge: • S3-compatible • \~$3/TB • No lock-in • Use your existing tools • Encrypt your data before upload Early access: https://storforge.io
GitHub - ferdzo/fs: S3 Compatible Object Storage in Go
I've made this as an alternative for the places I used Minio before. I'm using it for my backup server, as an alternative for Minio in my Milvus vector database and other places systems for serving files on web apps. It supports nearly all the needed API endpoints, simple policies and AWS SigV4 authentication so it is compatible with most packages and CLI tools. Currently it has no support for multiple nodes and distributed storage. I'm sharing it if anyone needs a light and simple alternative. All thoughts and replies are apprecitaed
I got sick of AWS S3 egress fees and 5TB limits, so I built a storage system with $0 BOM cost and It holds 5 Exabytes per instance.
Hey everyone, I’m Adarius, founder of Vader Technologies. I’ve been watching AI startups and creative platforms bleed cash because of three things: massive duplicate file uploads, version mismatches across devices, and skyrocketing S3 compute/egress costs just to keep their workspaces from lagging. The current infrastructure is basically a tax on inefficiency. So I built something else entirely. I call it VAULT 33. It’s a fully digital, invisible storage system that operates without a traditional database. 1. Zero Duplication Ingestion: Data is ingested once. If a user uploads the same file or link, it creates an automatic reference instead of duplicating the data. Compute costs drop instantly. 2. No Artificial Limits: Instead of capping users at 100GB or 5TB, one instance has an effective capacity of 5 Exabytes. 3. Instant Reproduction: It uses bit-perfect reproduction, meaning zero data loss and perfect sync across devices without version mismatches. 4. Transportable: The entire vault can be exported as a single compact artifact, moved anywhere (cloud, edge, air-gapped), and deployed in under 60 seconds. I’m currently looking for my first pilot partner (a startup dealing with heavy storage/egress pain) to license it for a 90-day test run to prove the cost savings in a live environment. Reach out!
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