Build Scalable Node.js Backends
Production Node.js backend patterns: layered architecture, middleware, error handling, caching, and JWT auth.
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Why it matters
Leverage modern Node.js frameworks and architectural patterns to build scalable, maintainable, and production-ready backend applications.
Outcomes
What it gets done
Design and implement REST APIs or GraphQL servers
Create microservices with Node.js
Integrate databases (SQL and NoSQL)
Implement authentication and authorization
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-nodejs-backend-patterns | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Production Node.js backend patterns covering layered architecture, JWT auth middleware, Zod validation, Redis rate limiting and caching, and a custom error-handling hierarchy. Use when building REST APIs, structuring a Node.js backend, adding authentication or rate limiting, or setting up error handling.
What it does
Covers production Node.js backend architecture across two frameworks - Express.js with helmet, cors, and compression middleware; Fastify with schema-validated, type-safe routes and pino-pretty logging - and a layered project structure (controllers, services, repositories, models, middleware, routes, utils, config, types), demonstrated with a full controller-to-service-to-repository UserController example plus a dependency-injection pattern (a Container class supporting register for a fresh instance per resolve, singleton for a lazily-created shared instance, and resolve to look a factory up by key, wired with a PostgreSQL pool, a UserRepository, a UserService, a UserController, and an AuthService each depending on the one before it). Ships four middleware implementations: JWT authentication and role-based authorization (a Bearer-token authenticate middleware plus an authorize(...roles) factory), Zod-based request validation (a validate(schema) middleware translating ZodError into a structured ValidationError), Redis-backed rate limiting (express-rate-limit with rate-limit-redis, a 100-request-per-15-minute general limiter and a stricter 5-request auth limiter), and structured request logging with pino recording method, URL, status, duration, user agent, and IP on response finish. Defines a custom error-class hierarchy - AppError as the base plus ValidationError, NotFoundError, UnauthorizedError, ForbiddenError, and ConflictError with their HTTP status codes - and a global error handler that suppresses error details in production, plus an asyncHandler wrapper for async route handlers. Covers database integration with PostgreSQL connection pooling, MongoDB via Mongoose, and a transaction pattern, and JWT-based authentication. Adds a Redis-backed CacheService with get, set, delete, and invalidatePattern methods and a Cacheable method decorator, a standardized ApiResponse helper for success, error, and paginated response shapes, and a 15-item best-practices list covering TypeScript, input validation, environment-variable secrets, structured logging, rate limiting, HTTPS, CORS discipline, dependency injection, graceful shutdown, connection pooling, health checks, compression, and performance monitoring.
When to use - and when NOT to
Use it when building REST APIs or GraphQL servers, creating Node.js microservices, implementing authentication and authorization, designing scalable backend architectures, setting up middleware and error handling, integrating SQL or NoSQL databases, building real-time WebSocket applications, or implementing background job processing. Skip it for anything unrelated to Node.js backend development or outside this scope.
Inputs and outputs
Input is a backend concern - project structure, a middleware need, an error-handling strategy, a database integration, caching, or a response format; output is the matching Express or Fastify code, ready to adapt into the layered architecture described above.
Integrations
Express.js or Fastify as the HTTP framework; helmet, cors, and compression for security and performance middleware; Zod for schema validation; jsonwebtoken for JWT auth; ioredis with express-rate-limit and rate-limit-redis for rate limiting and caching; pino with pino-pretty for structured logging; PostgreSQL via connection pooling and MongoDB via Mongoose for data access.
Who it's for
Node.js backend engineers building or restructuring a production API who need concrete middleware, error-handling, database, and caching code rather than an abstract architecture overview.
FAQ
Common questions
Discussion
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