Production-settings !full! -

Before you hit "Deploy," run through this final mental checklist:

Implement a caching backend like or Memcached .

Monitor CPU utilization, memory leaks, error rates (5xx responses), and request latency (p95/p99). production-settings

Local development often uses lightweight databases like SQLite. Production requires a database engine capable of handling concurrency and high load, such as PostgreSQL or MySQL.

The culprit is almost always .

The biggest security risk in production is hardcoding sensitive information. If your database password or API secret is written directly into your settings.py or config.js file and pushed to GitHub, you have already failed.

This reduces the load on your application server and speeds up delivery for users globally. Before you hit "Deploy," run through this final

Ensuring clear communication among team members.

Use memory-based data stores like Redis or Memcached to store frequent database queries. Production requires a database engine capable of handling

This is the single most critical change. In frameworks like Django ( DEBUG = False ) or Express ( NODE_ENV=production ), leaving debug mode active causes the application to display detailed stack traces, environment variables, and database structure to the public whenever an error occurs. Cookie and Session Security