A practical comparison of serverless functions and container-based deployments across five common scenarios: CI/CD workflows, secure database connections, scheduled cron jobs, deployment rollbacks, and long-running resource-intensive tasks. For each scenario, the guide explains how serverless platforms (Vercel, Cloudflare) handle it versus Railway's container approach, covering tradeoffs like cold starts, execution time limits, private networking, and memory constraints. Includes code examples for chunked processing, connection management, and queue-based background jobs with BullMQ.
Table of contents
Table of ContentsWhat's the easiest way to auto-deploy from GitHub on every push?How do you connect to a Postgres database without exposing credentials?What gotchas should you watch for when moving cron jobs to serverless?What's the best practice for versioning and rolling back in production?How do you run long-running tasks without hitting memory or time limits?ConclusionSort: