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Nov 14, 2025 - 4 MIN READ
Host Your Docker Container on Railway in 5 Minutes (8GB RAM for $5)

Host Your Docker Container on Railway in 5 Minutes (8GB RAM for $5)

I needed 4GB+ RAM to self-host Crawl4AI for GoSpendl. Here's why Railway beat every alternative I looked at, and how I had it running in under 5 minutes with zero config.

Niklas Grieger

Niklas Grieger

The problem

I'm building GoSpendl — a product search platform for the Bitcoin community. One core part of the stack is Crawl4AI, an open-source AI-powered crawler I self-host to extract product data from hundreds of shops. (More on how I use it here)

The official Crawl4AI Docker image needs at least 4GB RAM — it runs a full Chromium browser under the hood. My existing VPS on Namecheap has only 4GB total, which leaves nothing for anything else. Upgrading it costs $107/year and I'd still be managing the server myself.

I needed something cheap, RAM-generous, and zero-ops for what is still an experimental project.

Why not just use a VPS?

I looked at the obvious options:

Hosting cost comparison: Namecheap vs DigitalOcean vs RailwayThree options compared by RAM, cost per year, and ops overhead.Namecheap VPS4 GB RAM$107per yearmanual setup + maintenanceDigitalOcean4 GB RAM$288per yearmanual setup + maintenanceRailway8 GB RAM$60per yearzero ops overhead
OptionRAMCostOps overhead
Namecheap VPS upgrade4GB~$107/yearManual setup + maintenance
DigitalOcean Basic Droplet4GB$24/month ($288/year)Manual setup + maintenance
Railway Hobby Plan8GB$5/month ($60/year)Zero

DigitalOcean would have worked technically, but at $24/month for 4GB it's hard to justify for a side project — and I'd still need to configure the server, handle updates, and manage uptime myself.

Railway

Railway is a deployment platform that takes a Docker image and runs it — no server config, no SSH, no maintenance. You point it at an image, set your environment variables, and it's live.

Railway deploy flow in 4 stepsFour steps: create project, add Docker image service, enter image name, deploy.1New projectrailway.com2Add serviceDocker Imageoption3Enter imageunclecode/crawl4ai4Deploy ✓live in minutes8 GB RAM, $5/mono railway.json, no Dockerfile, no environment variables needed

For Crawl4AI specifically, the setup was:

  1. Create a new Railway project
  2. Add a service → select "Docker Image"
  3. Enter unclecode/crawl4ai (the official image)
  4. Deploy

That's it. No railway.json, no custom Dockerfile, no environment variables needed for the base image. It was running in under 5 minutes.

The Hobby Plan gives you 8GB RAM and 8 vCPU per service for $5/month, with a 30-day free trial. For a RAM-hungry workload like Crawl4AI, that headroom matters.

What you get

Railway's dashboard gives you real-time resource monitoring and logging out of the box — no setup required:

The logging is especially useful for Crawl4AI since you can watch crawl jobs come in and see exactly what's happening without connecting to a server.

When Railway makes sense

Railway is a great fit when:

  • You have a Docker image you want running without managing infrastructure
  • Your project is experimental or early-stage and you want to minimize ops overhead
  • You need more RAM than cheap VPS tiers offer without paying enterprise prices

It's probably not the right call if you need fine-grained server control, custom networking, or are running something at serious production scale. But for self-hosting something like Crawl4AI as part of a side project, it's hard to beat.


This post contains a referral link to Railway. Using it costs you nothing extra.