Object Storage 1 service 1 GiB RAM 20 GB disk

MinIO

S3-compatible object storage you fully control - single node, 20 GB volume, web console included.

One-click deploy, from $7/mo on a Miget plan.

MinIO is the reference implementation of "S3, but yours": the full S3 API - presigned URLs, multipart uploads, versioning, lifecycle (ILM) rules, bucket notifications - in a single Go binary. Every S3 SDK and tool works against it unchanged.

This template runs a single node with a 20 GB volume and the web console as the public entrypoint. Root credentials come from two required variables; create scoped access keys in the console for each app. In-project apps hit http://minio:9000 with path-style addressing - object storage with zero egress fees and LAN latency to your compute.

Worth knowing: Miget has native managed Buckets, which are the lower-ops choice for plain storage. Deploy MinIO when you specifically want MinIO - S3 event hooks driving workflows, ILM rules, or self-managed everything.

#what you get

  • Full S3 API: presigned URLs, multipart, versioning, ILM lifecycle rules
  • Bucket event notifications (webhooks, queues) for event-driven pipelines
  • Web console for buckets, browsing, and access-key management
  • Scoped access keys and S3-compatible bucket policies
  • Works with every S3 SDK, mc, rclone, and backup tooling
  • Single node + 20 GB volume; distributed mode is a future variant

#topology

ServiceRolePublic
minioS3 API :9000 (project-internal) + console (:5000 public)console

#miget sizing

// this stack needs

1 GiB RAM · 20 GB disk · 1 service

Maintenance notice (June 2026): MinIO archived its open source in April 2026; this template pins the last published image (Sep 2025; console reduced to an object browser, one unpatched CVE since). It remains for MinIO-specific needs - new deployments should use the garage template, the actively maintained successor.

Hobby - recommended fit

$7/mo

1 vCPU · 1 GiB · 25 GiB disk

Headroom for your own apps: 2 GiB at $13/mo

Professional - production

$43/mo

2 vCPU · 4 GiB · 25 GiB disk

Dedicated resources, production SLOs - plan details

One Miget plan is a fixed pool of compute - the whole stack (managed databases included) deploys inside it, and anything left over runs your other apps. No per-service or per-seat math.

#vs. the managed service

What the hosted equivalents charge, against the flat Miget plan this stack fits on. Prices as of June 2026, sources linked.

ServicePlanMonthlyWhat you get
MinIO on Miget 1 GiB plan$7this whole stack, flat - no usage meters, and room left for your own apps
AWS S3pay-as-you-gousage-based~$1-3/mo at 20 GB + modest requests; egress $0.09/GB past free allowance
Cloudflare R2pay-as-you-gousage-based~$0.15/mo at 20 GB; zero egress fees by design

Honest math: at 20 GB, S3/R2 are cheaper than self-hosting. MinIO earns its keep with S3 event hooks, ILM rules, LAN latency to your apps, and zero external dependency - not raw storage price.

#vs. other PaaS

Estimated monthly cost of running this exact stack (1 GiB RAM, 20 GB disk, 1 container) elsewhere, from published June 2026 rates.

PlatformEst. monthlyNotes
Miget $7 flat compose stacks first-class: one deploy, dedicated vCPU, managed Postgres/Valkey, volumes and TLS all included in the plan
Heroku ~$50 no volumes; nothing between 1 GB ($50) and 2.5 GB ($250) dynos - 2 GB containers cost far more than shown
Render ~$18 per-service instances (0.5 GB $7, 2 GB $25) - every container is its own paid service
DO App Platform ~$17 no persistent volumes - stateful containers need managed DBs/Spaces (base $5 Spaces included here)
Railway ~$13 usage-based ($10/GB RAM-mo); vCPU billed separately at $20/vCPU-mo on top
Fly.io ~$9 cheapest sticker price - but burstable shared CPUs (1/16 core; dedicated vCPUs cost ~2-3×), no compose deploys (one app per container, manual wiring), managed DBs billed extra

Estimates assume RAM fully allocated at published on-demand rates - and sticker price isn't the whole comparison: the cheaper rows buy burstable shared CPUs, per-service wiring instead of a compose deploy, and managed databases billed separately. Heroku and DO App Platform have no persistent volumes at all - stateful stacks like this one need workarounds there.

#deploy it

On Miget

  1. Create a Compose Stack in app.miget.com pointing at the templates repository
  2. Set the stack path to minio
  3. Set the required variable:
    • MINIO_ROOT_USER / MINIO_ROOT_PASSWORD, console login + root S3 credentials; mint scoped keys per app
  4. Deploy. Miget layers compose.miget.yaml (RAM, privacy, volumes, managed services) automatically

Locally first?

Every template is portable, vanilla Docker Compose - the Miget overrides are ignored locally:

git clone https://github.com/deployable-sh/stacks
cd miget-compose-templates/minio
docker compose up -d

Same files, same behavior. The template README covers connection strings and scaling notes.

#faq

When should I use MinIO instead of AWS S3 or R2?

When your compute lives next to it: zero egress fees, sub-millisecond latency, and no external dependency for dev/staging/internal apps. S3/R2 still win for global distribution and eleven-nines durability - single-node MinIO is one volume, so back up what matters.

Do existing S3 SDKs and tools work?

Yes - set the endpoint to http://minio:9000, use path-style addressing, and boto3, the AWS CLI, rclone, and every S3 client behave normally. Presigned URLs work for browser uploads too.

Should I use this or Miget’s native Buckets?

Native Buckets for plain managed storage - less to operate. This template is for MinIO-specific powers: S3 event notifications driving workers, ILM rules, versioning policies, or compliance reasons to self-manage the storage layer.

Can MinIO scale beyond one node?

Upstream MinIO does (distributed mode, 4+ nodes, erasure coding) and a cluster variant is on this catalogue’s roadmap. This template is deliberately single-node - the right shape for app storage measured in gigabytes, not petabytes.

Ship MinIO today

One compose stack, 1 GiB of RAM, from $7/month flat, and it runs on your laptop with the same files.