One of the most common infrastructure questions early-stage teams face: should we deploy to a PaaS like Railway or Render, or go straight to AWS?
The honest answer is that most teams start on the wrong level. Either they over-engineer with raw cloud before they have the team to manage it, or they stay on a PaaS too long and get surprised when the bill grows faster than their revenue.
Here's how to think about it.
What a PaaS actually gives you
A PaaS (Platform as a Service) sits between "deploy to a server manually" and "configure everything yourself on AWS." Platforms like Railway, Render, Fly.io, and DigitalOcean App Platform handle the parts of cloud infrastructure that eat developer time without adding product value: server provisioning, scaling configuration, TLS certificates, deployment pipelines, and basic monitoring.
You push code. It runs. You pay a predictable monthly bill.
What you give up is control. You can't tune every parameter. You're constrained to what the platform supports. And at high scale, you're paying a markup on the underlying cloud resources.
Use the PaaS Comparison tool to compare costs across Railway, Render, Fly.io, and DigitalOcean for your specific workload.
When PaaS makes sense
Start on a PaaS if:
- Your team is small. A two-person founding team doesn't need a DevOps engineer's worth of infrastructure complexity. A PaaS lets you focus on product.
- You're pre-product-market-fit. You're still figuring out what to build. Spending a week configuring VPCs and IAM roles is a bad trade at this stage.
- You want predictable costs. PaaS pricing is usually straightforward: fixed memory/CPU tiers, flat database pricing. No egress surprises, no I/O charges buried in the bill.
- Your workload is standard. Web app, background jobs, a database, maybe a queue. If your infrastructure fits in a Railway project, use Railway.
The cost of a PaaS is real but often overstated at early scale. $20-50/month for a production-ready deployment is a good deal when the alternative is engineer time.
When to move to raw cloud
The signals that it's time to migrate:
- Your PaaS bill is growing faster than your revenue. This is the most common trigger. PaaS costs scale linearly with usage. Raw cloud costs can be optimized with reserved instances, spot instances, and right-sizing.
- You need something the PaaS doesn't support. Specific compliance requirements, a service the platform doesn't offer, fine-grained networking control.
- You have the team. Raw cloud infrastructure requires someone who knows it. If you've hired a dedicated backend or platform engineer, the economics shift.
- You're at a scale where the margin matters. Somewhere around $500-1000/month in cloud spend, the overhead of managing raw cloud starts paying for itself.
The cost crossover point
PaaS platforms charge a premium for convenience. A Railway hobby plan and a comparable EC2 instance with RDS might cost 2-3x more on Railway at equivalent specs. At low usage, that premium is worth it. At high usage, it's significant money.
The crossover isn't the same for every workload. A CPU-heavy batch job hits the crossover earlier than a low-traffic web app. A team with no infrastructure experience hits it later than one with a dedicated platform engineer.
Use the Cloud Cost Estimator to compare what your workload would cost on raw cloud, then compare that to your current PaaS bill.
The practical recommendation
Start on a PaaS. Ship faster. Learn what your workload actually looks like in production before you optimize it.
When your PaaS bill becomes a real line item and you have someone on the team who can manage the complexity, evaluate the move. Run the numbers first. The savings are real but so is the migration cost.
Most teams migrate once, not continuously. Do it deliberately, not reactively.