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App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
Ship SaaS infrastructure without the DevOps overhead
App Corp deploys AI SaaS applications on Railway for rapid iteration, managed infrastructure, and predictable costs. Docker-based deployments with databases, cron jobs, and environment management.
Railway provides a Heroku-like developer experience with modern infrastructure. The architecture we use:
Docker-based deployments — any application that can be containerized can run on Railway. We use multi-stage Docker builds for optimized production images.
Managed PostgreSQL — Railway provisions and manages PostgreSQL databases with automatic backups, connection pooling, and monitoring. We pair this with Prisma for type-safe database access.
Background workers — separate services for background jobs, queue processing, and scheduled tasks. Railway handles process management, restarts, and log aggregation.
Environment management — separate environments (production, staging, preview) with isolated databases, environment variables, and networking. Preview environments spin up automatically for pull requests.
Railway handles infrastructure, scaling, and operations. Trade-off: less control over infrastructure configuration than AWS/GCP.
Usage-based pricing with clear cost projections. Trade-off: costs can be higher than bare-metal for high-traffic applications.
Push to deploy, automatic builds, and preview environments. Trade-off: build times and deployment pipelines are less customizable than GitHub Actions.
PostgreSQL, Redis, and other services provisioned in minutes. Trade-off: fewer managed service options than AWS/GCP.
Railway charges based on resource usage (CPU, memory, network). Hobby tier starts at $5/month with limited resources. Pro tier at $20/month per member includes preview environments and team features. For a typical AI SaaS application (Next.js + PostgreSQL + background worker), monthly costs range from $20-100. Costs scale linearly with resource usage — no surprise bills.
We use Railway for rapid SaaS deployment where the team wants to focus on application code, not infrastructure. Our Railway experience includes Docker-based deployments, PostgreSQL database management, background worker configuration, and multi-environment setups.
Railway's preview environments are particularly valuable for our workflow — every pull request gets a live preview environment with its own database, allowing us to test features before merging. This catches issues that local development misses.
For projects requiring stricter compliance or custom infrastructure, we use AWS or Vercel. Railway fills the gap between Heroku (too simple) and AWS (too complex) for most AI SaaS applications.
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Tell us about your deployment needs. We will recommend whether Railway, Vercel, AWS, or another platform is the right fit for your project and budget.