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DigitalOcean reportedly supports OpenBSD on $4/month droplets via custom image upload
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OpenBSD can now be deployed on DigitalOcean’s cheapest droplet tier using a custom miniroot image for $4 per month
This lowers the barrier for engineers who want OpenBSD’s security model and minimalist tooling without leaving a major cloud provider. The workaround still requires manual setup and lacks native integration, so it remains a niche option rather than a mainstream path.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
OpenBSD runs on DigitalOcean’s $4/month droplet after uploading a custom miniroot image
Setup requires manual steps including disk encryption and SSH key configuration
DigitalOcean charges for custom image storage and does not officially support BSD distributions
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DigitalOcean’s cheapest droplet tier, 512 MB RAM, 1 vCPU, 10 GB SSD, now reportedly supports OpenBSD through a custom image upload. The process involves downloading a miniroot image, verifying its checksum, and uploading it as a snapshot. This sidesteps DigitalOcean’s lack of native BSD support but adds friction compared to Linux deployments.
The setup requires manual intervention at nearly every step: disk partitioning, network configuration, and SSH key injection. Full-disk encryption is possible but demands console access for every reboot, complicating automated patching. These trade-offs make the $4 option viable for hobbyists or low-traffic services but less practical for production workloads.
DigitalOcean’s platform imposes costs beyond the droplet price. Custom images incur storage fees, and the provider’s tooling, like IPv6 support, does not fully accommodate OpenBSD. Engineers must weigh these limitations against OpenBSD’s security benefits, such as its default-deny posture and minimal attack surface.
The workaround highlights a gap in cloud provider support for BSD systems. While Linux dominates cloud deployments, OpenBSD’s focus on correctness and security appeals to engineers who prioritize those attributes. This deployment path offers a compromise but does not address deeper integration challenges like automated scaling or managed services.
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