This content originally appeared on DEV Community and was authored by Gimhan Rajapaksha
Ever wondered how deployment practices evolve as you move from student projects → startups → big tech?
This video breaks it down in the most entertaining way possible. Here’s the technical summary:
👨🎓 Student: Manual Deployment
- Uploads files directly to production.
- No CI/CD, no rollback strategy.
- Tools:
scp, FTP, or manual uploads. - Risk: High.
🚀 Startup: Structured but Manual
- Environments: Local → Test → Production.
- Backend: Node.js + Express.js.
- Hosting: AWS EC2.
- Workflow: Code pushed → tested manually → deployed manually.
- Better than student level, but still fragile.
💼 Big Tech: Fully Automated
- CI/CD pipelines (GitHub Actions).
- Every commit triggers automated build + integration tests.
- Auto-deploy to test, then to production if tests pass.
- Rollback if deployment fails.
- Consistent, scalable, reliable.
🔑 Key Concepts
- CI/CD for automation.
- Environment separation (local, test, prod).
- Testing & rollback for reliability.
- AWS EC2 + Node.js/Express.js for hosting & backend.
🎯 Final Thoughts
The video is not only hilarious but also a practical teaching tool:
- Students see why manual deployments don’t scale.
- Startups learn why staging environments matter.
- Developers get a glimpse of how big tech handles deployments at scale.
👉 As your project grows, automation and testing are no longer optional. They’re essential.
This content originally appeared on DEV Community and was authored by Gimhan Rajapaksha
Gimhan Rajapaksha | Sciencx (2025-09-19T02:11:15+00:00) Student vs Startup vs Big Tech: Deployments Explained. Retrieved from https://www.scien.cx/2025/09/19/student-vs-startup-vs-big-tech-deployments-explained/
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