Best NodeJS Architecture for Scalable Cloud Apps: Monolith vs Microservices vs Serverless (Shorterloop’s Guide)

Dinesh Rawat
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March 7, 2025
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4 min
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At Shorterloop, we use microservices with Node.js. We build small parts that work together.

We build apps in different methods. You can keep everything in one block, split it into parts, or run small functions on demand. Each way has its own pros and cons.

At Shorterloop, we choose microservices. We use Node.js (like Express.js) for scalable authentication. Our secure login system using Node.js microservices at Shorterloop works great.

Here, you'll get to learn each way with real code and clear examples.

Here are the key points:

  • Monolith: All code in one place.
  • Microservices: Many small pieces.
  • Serverless: Run code when needed.

We also focus on cost optimization strategies for scalable Node.js architectures. Costs matter. Speed matters. Simplicity matters. Choose what fits your team and work style.

Shorterloop's Experience with Microservices

Choosing Between Monoliths, Microservices, and Serverless

A. Understanding Monolithic Architecture

All the code sits in one block. It is easy to write and test.

Advantages of Monolithic Architecture:

  • Easy to start.
  • Fast in one run.
  • Low cost at first.

Disadvantages Monolithic Architecture:

  • Hard to grow.
  • A change can break the whole app.
  • Hard to mix new tech.

Products nowadays grow years and years. They constantly grow in size and complexity. The situation when application becomes unmanageable due to its complexity, is called Monolithic hell.

Apps with monolithic architecture are a set of tightly-coupled modules that are difficult to single out from a monolithic piece of code. This is exactly the same situation we are facing in the Shorterloop. This is challenging to:

1: Updating or separating modules - We retest and redeploy the whole project.

2: Carry out code reviews: Big modules or projects are always hard to review.

3: Managing a large team of developers: We will never be able to determine who is responsible for what piece of code.

4: Scale the app horizontally: As monolithic applications cannot be easily divided into separate services, you’ll have to scale the entire app each time there is a bottleneck in one module.

5: One Schema: Schema and Database used interchangeably. In monolithic we always have only one database. Consider it as the backbone of the human body. If the backbone collapses the whole body will stop functioning. In Shorterloop, we have only one schema, our complete data is stored in the same schema. We use the same schema for all read and write operations. If one day our database crashes we won’t have anything at all because all the modules are using the same schema for all the things.

A Story: A Simple Login

Imagine a small app that checks login details. It uses Express.js and JWT. Our JWT authentication implementation in Node.js Express apps is shown here:


// monolith-app.js
const express = require('express');
const jwt = require('jsonwebtoken');
const app = express();

app.use(express.json());

const SECRET_KEY = process.env.SECRET_KEY || 'super-secret-key';

const users = [
  { id: 1, username: 'alice', password: 'password123' },
  { id: 2, username: 'bob', password: 'password456' }
];

app.post('/login', (req, res) => {
  const { username, password } = req.body;
  const user = users.find(u => u.username === username && u.password === password);
  if (!user) return res.status(401).json({ error: 'Invalid login' });

  const token = jwt.sign({ id: user.id, username: user.username }, SECRET_KEY, { expiresIn: '1h' });
  res.json({ token });
});

function checkToken(req, res, next) {
  const authHeader = req.headers.authorization;
  const token = authHeader && authHeader.split(' ')[1];
  if (!token) return res.status(401).json({ error: 'No token' });

  jwt.verify(token, SECRET_KEY, (err, user) => {
    if (err) return res.status(403).json({ error: 'Bad token' });
    req.user = user;
    next();
  });
}

app.get('/dashboard', checkToken, (req, res) => {
  res.json({ message: `Hi ${req.user.username}, welcome to your dashboard.` });
});

const PORT = process.env.PORT || 3000;
app.listen(PORT, () => console.log(`Monolith on port ${PORT}`));

Monolith with Login Flow

B. Understanding Microservices Architecture

We break the app into small parts. Each part works on its own. This is our choice at Shorterloop. Our microservices architecture with Node.js frameworks for scalable authentication makes it clear.

Advantages of Microservice Architecture:

  • Each part can grow on its own.
  • You can mix tools for each part.
  • One part fails; others keep working.

Disadvantages of Microservice Architecture:

  • Harder to watch all the parts.
  • More cost for many parts.
  • Debugging takes time.

With microservices architecture, it's much easier to:

  1. Functional Decomposition in action.
  2. Work on a certain functionality and keep in mind its scope. 
  3. Manage and review all changes made to the code as they take place in clearly separated services
  4. Test services separately
  5. Update and deliver services separately.
  6. Be flexible with innovative technology stacks—you can pick a new technology stack for each service.
  7. Manage responsibilities. Each team is responsible for a particular service and can develop, test and deploy the code independently
  8. Scale without involving the entire system

A Story: Two Services

One service handles login. Another shows user info.

Auth Service

// auth-service.js
const express = require('express');
const jwt = require('jsonwebtoken');
const app = express();

app.use(express.json());

const SECRET_KEY = process.env.SECRET_KEY || 'micro-secret';
const users = [
  { id: 1, username: 'alice', password: 'password123' },
  { id: 2, username: 'bob', password: 'password456' }
];

app.post('/auth/login', (req, res) => {
  const { username, password } = req.body;
  const user = users.find(u => u.username === username && u.password === password);
  if (!user) return res.status(401).json({ error: 'Invalid login' });

  const token = jwt.sign({ id: user.id, username: user.username }, SECRET_KEY, { expiresIn: '1h' });
  res.json({ token });
});

const PORT = process.env.AUTH_PORT || 4000;
app.listen(PORT, () => console.log(`Auth service on port ${PORT}`));

User Service


// user-service.js
const express = require('express');
const jwt = require('jsonwebtoken');
const app = express();

app.use(express.json());

const SECRET_KEY = process.env.SECRET_KEY || 'micro-secret';

function checkToken(req, res, next) {
  const authHeader = req.headers.authorization;
  const token = authHeader && authHeader.split(' ')[1];
  if (!token) return res.status(401).json({ error: 'No token' });
  
  jwt.verify(token, SECRET_KEY, (err, user) => {
    if (err) return res.status(403).json({ error: 'Bad token' });
    req.user = user;
    next();
  });
}

app.get('/user/profile', checkToken, (req, res) => {
  res.json({ message: `Hi ${req.user.username}, here is your profile.` });
});

const PORT = process.env.USER_PORT || 5000;
app.listen(PORT, () => console.log(`User service on port ${PORT}`));

Microservices with Auth and User Services

Also, this is an example of our microservices architecture with Node.js frameworks for scalable authentication.

C. Understanding Serverless Computing

Serverless means you run code only when needed. No server stays up all the time.

Advantages of Serverless Architecture:

  • You pay only for what you use.
  • Code runs on its own.
  • Less work on servers.

Disadvantages of Serverless Architecture:

  • The first run can be slow.
  • Tied to one cloud.
  • It is hard to save the state.

A Simple Example: AWS Lambda Auth

This is our AWS Lambda serverless authentication example in Node.js:


// lambda-auth.js
exports.handler = async (event) => {
  const name = event.queryStringParameters?.name || 'User';
  const response = {
    statusCode: 200,
    body: JSON.stringify({ message: `Hi, ${name}! This is serverless auth.` }),
  };
  return response;
};

Serverless Auth Flow

Comparison Table

Here is a quick table:

Agentic AI vs Generative AI
Criteria Monolith Microservices Serverless
Cost Low start. Scale the whole app. Higher cost. Scale parts only. Pay per use. Great for bursts.
Speed Very fast. No network delay. Some delay from network calls. May be slow at first. Auto-scales well.
Ease of Use One codebase. Easy to manage. Many parts. Harder to track. Simple setup. No server work.
Maintenance Easy to debug. Needs many tools to track issues. Low server upkeep.
Scalability Scale the whole app. Scale each piece independently. Scales per call automatically.
Flexibility Hard to change parts. Mix and match tools easily. Limited by provider.
Security Simple to secure. Each part needs its own security. Built-in security; state is tricky.
Complexity Low at first; gets bulky fast. High management overhead. Simple setup; state can be hard.

This is a monolith vs microservices vs serverless architecture cost performance comparison 2025.

New Trends

1. AI in Auto-Scaling

Many teams use AI auto-scaling using Kubernetes and Prometheus for Node.js apps. AI helps guess traffic and adjust scale. Some AI tools warm up functions to stop slow starts.

Sample: Kubernetes HPA


apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: example-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: example-deployment
  minReplicas: 2
  maxReplicas: 10
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 50

AI Auto-Scale Flow

2. Edge Computing

Edge computing benefits for serverless applications in 2025 are clear. Running code near users cuts lag. It also saves energy.

When to Use Each Architecture

Choosing the right architecture depends on your project’s scale, team expertise, and long-term goals. Here’s a breakdown:

1. When To Use Monolithic Architecture

Use When:

  • You’re building an MVP or small-scale app.
  • Your team is small (1–5 developers).
  • You need rapid development and deployment.
  • Budget constraints require low upfront costs.
  • Example: A local business’s booking system or a simple CMS.

2. When To Use Microservices Architecture Over Monolithic

Use When:

  • Scalability is critical (e.g., e-commerce, SaaS platforms).
  • Different teams work on separate features (e.g., authentication, payments).
  • You want flexibility to mix technologies (e.g., Node.js for auth, Python for analytics).
  • Example: ShorterLoop’s authentication system, Netflix’s streaming service.

3. When To Use Serverless Vs Microservices

Use When:

  • Traffic is unpredictable (e.g., event-driven apps, seasonal campaigns).
  • You want zero server management (e.g., startups with limited DevOps resources).
  • Cost-per-use billing aligns with your budget (e.g., APIs with sporadic usage).
  • Example: AWS Lambda for image processing, Slack bots.

At Shorterloop, we use microservices. We break the app into parts. It fits our work well. We also use cost optimization strategies for scalable Node.js architectures. 

Why Shorterloop Doesn’t Use Serverless

  • Always-On Uptime: 99.99% SLA for enterprise clients.
  • Stateful Connections: Websocket-based 2FA needs persistent servers.
  • Predictable Costs: Microservices with reserved instances save 40% vs. serverless at our scale.

Conclusion

Your choice depends on your needs. Use a monolith if your app is small. Use microservices for more growth and control. Use serverless if you need to pay only for use.

We add secure login with Node.js. We use simple tools to keep things clear. Our work at Shorterloop shows that breaking an app into parts is smart.

Happy coding. Build smart and keep it simple.

FAQs About Microservices vs Monolith vs Serverless in Node.js

1. What is monolithic architecture in Node.js development?

A monolithic design means all your code sits in one block. It’s quick to build but hard to change later.

  • Key Points:
    • One large, unified codebase
    • Fast to launch at first
    • Scaling gets tricky
  • Key Takeaway: Monoliths = duct tape. Fast, messy, but effective for small jobs.

2. What is microservices architecture in Node.js?

Microservices split your app into small, independent services. Each piece runs on its own. This helps with scalable authentication and easier updates.

  • Key Points:
    • Code divided into small parts
    • Each service works alone
    • Makes updates and scaling simpler
  • Key Takeaway: Microservices = LEGO bricks. Flexible, scalable, but takes effort to assemble.

3. What is serverless architecture in cloud computing?

Serverless means your code runs only when needed. In Node.js, AWS Lambda is often used. It bills per call and can save money.

  • Key Points:
    • Code runs on demand
    • Uses AWS Lambda frequently
    • Cost-efficient but may have cold starts
  • Key Takeaway: Serverless = vending machine. You pay only when you grab a snack.

4. How do monolith, microservices, and serverless compare?

A monolith is a single block. Microservices break work into units. Serverless executes functions only when required. Each has its pros and cons.

  • Key Points:
    • Monolith: simple but rigid
    • Microservices: flexible yet complex
    • Serverless: cost-friendly, with possible delays
  • Key Takeaway: No perfect choice—pick what fits your team and project.

5. How do I choose the right design for my Node.js app?

It depends on your team size and needs. Small projects may start as a monolith. Bigger teams might choose microservices or serverless for better scaling.

  • Key Points:
    • Check your team size and growth
    • Think about update needs
    • Balance cost with performance
  • Key Takeaway: Start simple. If you outgrow it, shift gears.

6. What are the scalability benefits of these designs?

A monolith scales as one unit. Microservices let you scale parts separately. Serverless scales each function call automatically.

  • Key Points:
    • Monolith: scales as a whole
    • Microservices: scale individual parts
    • Serverless: auto-scales per use
  • Key Takeaway: Need control? Go microservices. Need automation? Serverless wins.

7. What challenges do microservices and serverless face?

Microservices can be hard to manage and debug. Serverless may face cold start delays and state issues. Both need careful planning.

  • Key Points:
    • Microservices: more pieces to track
    • Serverless: occasional startup delays
    • Both require good monitoring
  • Key Takeaway: More flexibility = more complexity. Know what you’re signing up for.

8. How do I secure my Node.js app in these systems?

Security is vital. In a monolith, secure the whole block. With microservices, each service needs its own keys and tokens. Serverless functions must be locked down too.

  • Key Points:
    • Use proper keys and tokens
    • Lock down each service
    • Keep authentication strong
  • Key Takeaway: Security isn’t automatic. Protect every piece of your system.

9. Can I migrate from a monolithic system to microservices or serverless?

Yes, you can switch with careful planning. Many teams move to microservices for better scaling or choose serverless to cut costs.

  • Key Points:
    • Plan each step carefully
    • Start with small changes
    • Transition gradually
  • Key Takeaway: Migration = remodeling. Don’t knock down walls without a plan.

10. How do cost factors compare in these Node.js apps?

Cost matters. Monoliths start cheap but may grow costly. Microservices need extra tools. Serverless bills per use, which can save money if managed well.

  • Key Points:
    • Monolith: low cost at start, higher later
    • Microservices: extra management costs
    • Serverless: economical pay-per-use model
  • Key Takeaway: Pay upfront (monolith) or pay per use (serverless). Pick what fits your budget.

🚀 Have questions or need expert guidance? Drop a comment below or reach out to Shorterloop Engineering for personalized assistance. Explore more insights and best practices by visiting our Engineering Blog.

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