Production-settings ((hot)) Link

What runs your backend? (e.g., PostgreSQL, MongoDB, MySQL)

Enforce strict connection timeouts (e.g., connect_timeout , idle_timeout ) so that stalled queries do not hang the entire application server. Replication and High Availability Production data must be resilient to hardware failures.

settings_base.py / config.base.js : Contains universal settings (e.g., application name, installed plugins). production-settings

// Cookie settings app.use(session( cookie: secure: true, // HTTPS only httpOnly: true, sameSite: 'strict', maxAge: 24 * 60 * 60 * 1000

When an application crashes in development, you review the terminal output. In production, you rely entirely on structural logging and telemetry data to diagnose system anomalies. Structured JSON Logging What runs your backend

In development, the framework usually serves static files (CSS, JS, Images) dynamically. In production, this is a performance killer.

Configure your application loggers to output structured JSON instead of raw text strings. Centralized log management platforms can parse, index, and query JSON fields instantly. Ensure logs capture critical metadata including timestamps, log levels ( INFO , WARN , ERROR ), service names, and unique request IDs. Centralized Log Aggregation settings_base

No API keys or passwords exist in your Git repository history.

What (e.g., AWS, Heroku, DigitalOcean) you plan to deploy to?

A cornerstone principle is the . Code should be environment-agnostic; the build artifact created in your CI pipeline should be a static, immutable file. All environment-specific variables (like database URLs, API endpoints, and feature flags) should be injected at runtime. This guarantees that the exact same code tested in staging is what runs in production.

Do not route all traffic to a single primary database node. Configure your production application settings to utilize a primary-replica architecture: