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Common Architectural Mistakes in Node.js Projects

Architecture mistakes are expensive. Here are the most common ones in Node.js projects and how to avoid them.

Common Architectural Mistakes in Node.js Projects

Architectural mistakes cost time. Here are the most common Node.js ones and how to avoid them.

Mistake 1: God Modules

One file does everything. Routes, models, business logic, email sending. Fix: split into routes, controllers, models, services, and utils. One file, one concern.

Mistake 2: Sharing Databases Across Services

If you split into microservices but keep them on the same database, you have not decoupled. Fix: each service owns its data. If you need data from another service, use an API or event, not a direct query.

Mistake 3: Synchronous Heavy Work in Request Handlers

Parsing a 100MB file or computing a hash in a request handler blocks the event loop. Fix: offload to a worker thread or background job. Send a 202 Accepted and let the client poll for the result.

Mistake 4: No API Versioning

You ship v1 of an API. Six months later, you need to change the response shape. Now every client breaks. Fix: version APIs from day one (/v1/users). Bump the version when you make breaking changes.

Mistake 5: Storing Session State in Memory

If you store session state in the server process memory, you cannot scale horizontally (the next request might hit a different instance). Fix: use a shared store like Redis or stateless JWT.

Mistake 6: Coupling Modules Through Direct Imports

Module A imports Module B's internal functions. Now A and B are coupled. Fix: expose a clean public API from each module. Treat other modules as black boxes.

Mistake 7: Skipping Schema Validation

You accept any JSON from the client. Fix: validate input with zod or express-validator. Define the shape you expect and reject anything else.

Mistake 8: Logging to console.log in Production

console.log is unstructured and slow. Fix: use a logger (winston, pino). Log JSON with level, timestamp, and context. Ship logs to a central place.

The Takeaway

Common architectural mistakes: god modules, shared databases across services, sync heavy work, no API versioning, in-memory session state, tight coupling, no schema validation, and console.log in production. Avoid these from day one.

God modules, sharing databases across services, sync heavy work in request handlers, no API versioning, in-memory session state, tight coupling through direct imports, no schema validation, and console.log in production.

It couples services. If one service changes a schema, others break. Each service should own its data. If you need data from another service, use an API or event, not a direct query.

Offload heavy work to worker threads or background jobs. For long tasks, send a 202 Accepted and let the client poll for the result. Keep request handlers async and light.

If you ship v1 without versioning and later need to change the response shape, every client breaks. Version from the start (/v1/users) and bump the version on breaking changes.

It is unstructured and slow. Use a logger like winston or pino. Log JSON with level, timestamp, and context. Ship logs to a central place for searching and alerting.

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