Best practices

Performance

Middleware performance is critical to the overall performance of your application. Whole middleware execution time should be as low as possible as it's executed before every request - which means it's directly affecting TTFB (Time To First Byte) of your application.

Concurrency

Minimize the number of blocking operations in your middleware. If you need to perform blocking operations, consider using concurrency to parallelize the operations.

import { NextMiddleware } from '@rescale/nemo';
 
export const auth: NextMiddleware = () => {
  // Fetch user and roles concurrently 
  const [user, roles] = await Promise.all([ 
    fetchUser(), 
    fetchRoles(), 
  ]); 
 
  if(!user | !roles) {
    return NextResponse.redirect('/login');
  }
}

Caching

Caching is a powerful technique to improve the performance of your middleware and reduce heavy operations like db queries. There are two types of caching you can use:

Cross-middleware caching

Use build-in storage (shared context) to cache data that is used across multiple middleware functions in a chain.

This will reduce the number of requests to external services and reduce middleware exeuction time.

import { NextMiddleware } from '@rescale/nemo';
 
export const auth: NextMiddleware = (request, { storage }) => { 
  const [user, roles] = await Promise.all([
    fetchUser(),
    fetchRoles(),
  ]);
 
  storage.set('user', user); 
  storage.set('roles', roles); 
 
  if(!user | !roles) {
    return NextResponse.redirect('/login');
  }
}

Cross-requests caching

Build a custom adapter to cache data between requests using for example redis, Vercel Edge Config or other KV storage.

import { NEMO } from '@rescale/nemo';
import { RedisAdapter } from "@/lib/nemo/redis";
 
export const { middleware } = new NEMO(middlewares, globalMiddleware, {
  storage: () => new RedisAdapter()
});

Security

Rate limiting

Authentication

Authorization

Reliability

Monitoring

Logging

Testing