If you're a developer who wants real Kubernetes without paying for a control plane, or a K8s-like PaaS that just works, these are the cheapest options we found. We compare DigitalOcean Kubernetes (free control plane, $12/mo nodes), Railway (generous free tier), Fly.io (pay-per-container), and GKE Autopilot (pay-per-pod).
if you're a developer who wants to run containers in production — or just for a side project — you've probably looked at kubernetes and winced at the price tag. a managed k8s cluster from the big cloud providers can run you $70+ per month before you even run a single workload.
but here's the thing: you don't need to pay that much. the secret is a free control plane.
the control plane (the master node that manages your cluster) is what makes managed kubernetes expensive. most providers charge $0.10–$0.30 per hour just to keep it running — that's $70–$200/month before any actual work gets done.
some providers, however, give you the control plane for free. you only pay for the worker nodes that run your containers.1 that changes the math completely.
starting at $12/month per node
digitalocean gives you a free control plane and lets you start with a single $12/month node (1 vCPU, 2 GB RAM, 25 GB SSD).1 that's it — no hidden fees, no per-pod charges, no control plane cost.
this is the cheapest way to run a real, fully-managed kubernetes cluster for a small app or dev environment. predictable pricing, no surprises.
→ check digitalocean kubernetes pricing
free tier available, then pay per usage
railway isn't pure kubernetes — it's a platform that abstracts away the cluster entirely. but if you just want to deploy containers and have them scale, it's the closest thing to a "k8s that you don't have to manage."
they offer a generous free tier (enough for small side projects) and then charge based on actual usage — cpu, memory, and bandwidth.3 for a low-traffic app, this can be cheaper than even a single DOKS node.
free tier: up to 3 shared-cpu VMs, then pay per container
fly.io sits between railway and pure k8s. you deploy containers (via Dockerfiles or buildpacks), and fly handles the orchestration. it's not kubernetes under the hood, but the mental model is similar.
the free tier covers 3 shared-cpu VMs with 256 MB RAM each — plenty for a small api or web app. beyond that, you pay per container, which keeps costs low for intermittent workloads.
pay per pod, starting at ~$0.00015 per vCPU-second
google's gke autopilot is the only "big three" managed k8s that can compete on price for small workloads. instead of paying for nodes, you pay per pod based on the cpu and memory you request.2
for a low-traffic app that runs a few pods with minimal resource requests, autopilot can be very cheap — sometimes under $10/month. the trade-off: you lose control over node-level configuration, and costs can spike if your app scales up.
| provider | pricing model | cheapest entry | best for |
|---|---|---|---|
| digitalocean doks | fixed node pricing + free control plane | $12/mo (1 node) | predictable costs, real k8s |
| railway | usage-based + free tier | free tier | quick deploys, side projects |
| fly.io | per-container + free tier | free tier (3 VMs) | container apps, small apis |
| gke autopilot | per-pod resource usage | ~$5–10/mo | intermittent workloads |
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