An interactive pre-launch checklist to verify rate limiting, environment validation, error handling, database pooling, and rollback safety before shipping your project to production.
When you test alone on your laptop, everything runs fast and without errors. The moment you put a project in front of real users, bots, and flaky networks in production, the rules change completely.
This interactive checklist accompanies the 'Production-Ready Pre-Launch Checklist' video. Inspect each layer before going live, read the implementation notes, and check off completed items — your progress is saved automatically in your browser.
1. API Security & Traffic Control
Stop malicious bots or a buggy client loop at the door before they lock up your server in seconds.
No API endpoint should be left unbounded. Enforce rate limits so a single user or bot cannot exhaust your CPU and database with thousands of requests per second.
Apply much stricter limits to auth endpoints to block brute-force password guessing and prevent attackers from inflating your SMS/email bill.
Cap maximum request body size so an attacker cannot trigger an Out-Of-Memory crash by sending a 500 MB payload to a JSON endpoint.
Never trust client input. Validate every parameter against a strict schema and lock down browser security headers.
Guarantee that double-clicking 'Pay' or 'Create Order' on a slow network executes the operation only once.
2. Configuration & Environment Variables (.env)
Validate every setting at startup so a missing API key never blows up mid-checkout at 3 AM.
Validate all required environment variables against a schema when the process boots. If even one is missing, refuse to start and print the exact missing variable.
Ensure local and staging environments never share database credentials, JWT secrets, or live payment keys with production.
3. Centralized Error Handling & Logging
Never leak internal details to users, but log clearly enough to find the root cause in 30 seconds.
When an unexpected database or runtime error occurs, never return raw stack traces containing table names and file paths. Return a clean, standardized error response.
Use searchable structured JSON logs (Pino / Winston) instead of raw console.log, and redact passwords, tokens, and card numbers before writing logs.
4. Database, Pooling & Backup Safety
When traffic spikes, the database is always the first bottleneck. Secure connections, queries, and backups before launch.
Opening a fresh database connection per request quickly exhausts the server. Use a bounded connection pool and enforce timeouts on slow queries and external HTTP calls.
Verify indexes exist on columns used in WHERE, JOIN, and ORDER BY clauses, and confirm list endpoints don't fire N+1 queries inside loops.
A backup you haven't restored is not a backup. Enable automated daily backups and test restoring a snapshot into a fresh instance before launch.
5. Deployment, Healthcheck & Rollback Plan
Deploy without manual SSH tinkering and make sure you can roll back to the previous working version within 60 seconds.
Expose a `/health` endpoint that actually pings your database and Redis so the load balancer never routes traffic to a broken container.
Never SSH into production to run git pull by hand. Automate test + build via GitHub Actions and tag images by commit SHA for instant rollback.
One production-ready project beats 15 half-finished repos
Whether you're launching your own SaaS or defending a GitHub repo in an interview, what sets you apart isn't trying yet another framework — it's preparing your code for the realities of production: rate limiting, env validation, error masking, health checks, and a rollback plan.