Master Railway with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Sign up at railway.app with GitHub or email and use the free trial credit if eligible. Connect a GitHub repository, deploy from the Railway CLI, or deploy a Docker image depending on the project workflow. Add a managed database by creating a PostgreSQL, MySQL, or Redis service where those services fit the application. Configure environment variables and secrets through the Railway dashboard or install the Railway CLI with npm i
g @railway/cli. Set up a custom domain in project settings and review the plan's domain, service, resource, and spending limits before production use.
💡 Quick Start: Follow these 2 steps in order to get up and running with Railway quickly.
Explore the key features that make Railway powerful for deployment & hosting workflows.
Build automation that can detect many common application frameworks and generate deployable builds without requiring every project to maintain a Dockerfile. Teams can still use Docker when explicit build control is preferred.
Provision PostgreSQL, MySQL, and Redis services alongside application services. Built-in database and volume backups are listed in Railway's product feature matrix, but specialized databases may require another provider.
Private networking lets services communicate inside a Railway project without exposing every internal dependency publicly. Teams should still review network behavior, region choices, and security controls for production architecture.
Railway supports GitHub repository deployment, Docker image deployment, custom Dockerfiles, local repository deployment with the Railway CLI, deployment logs, redeploy or restart actions, and one-click rollbacks.
Pricing combines plan commitments with metered resource usage. Visible 2026 pricing lists Free at $0/month, Hobby at $5 minimum usage/month, Pro at $20 minimum usage/month, and Enterprise custom pricing, plus metered CPU, memory, volume, egress, and object storage rates.
Railway includes build and deploy logs, CPU/RAM/disk/network metrics, log filtering and querying, structured logging, webhooks, configurable alerts, hard and soft limits, and plan-specific log retention.
Railway combines plan commitments with metered usage. Free is listed at $0 per month with trial credits for new users, Hobby has a $5 minimum usage commitment, Pro has a $20 minimum usage commitment, and Enterprise is custom. CPU is listed at $0.00000772 per vCPU-second, memory at $0.00000386 per GB-second, volumes at $0.00000006 per GB-second, service egress at $0.05 per GB, and object storage at $0.015 per GB-month.
Railway can host managed PostgreSQL, MySQL, and Redis services and supports deployment workflows such as rollbacks and health checks. Application-level schema migrations still need to be handled by the application's framework or migration tool, such as Prisma, Django migrations, Rails migrations, or a custom migration command.
Resource behavior depends on the plan, service configuration, and spending controls. Teams should review plan limits for CPU, RAM, replicas, storage, projects, services, log retention, domains, and support before production use, then configure alerts or limits to reduce the chance of unexpected billing.
Railway is often a better fit when the same platform should run backend services, workers, Docker services, and managed PostgreSQL, MySQL, or Redis. Vercel may be a better fit for frontend-first workflows, edge-centric deployments, or teams already standardized on its frontend platform.
Now that you know how to use Railway, it's time to put this knowledge into practice.
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Tutorial updated March 2026