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Microservices vs Monolith โ€” Why Netflix Split Their App Into 700 Services

A monolith is one big app. Microservices are many small apps. Both work. Both have tradeoffs. Here is the honest comparison with the LEGO analogy that makes the decision clear.

Mar 8, 20265 min read7 sections
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Software Developer ยท TechClario

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Netflix split their application into over 700 microservices. Amazon has thousands. But many successful companies โ€” including Basecamp and Stack Overflow โ€” run on a single monolith and do just fine.

So which is better? The honest answer: it depends. But after reading this, you will know exactly when to choose each.

The LEGO Analogy

๐Ÿงฑ
Real-Life Analogy

LEGO set vs Play-Doh

Monolith = Play-Doh. It is one big piece. Easy to shape, easy to work with when small. But when you add more and more clay, it becomes heavy, hard to manage, and if one part gets damaged, it can affect the whole thing.

Microservices = LEGO bricks. Each brick is independent. You can replace one brick without touching the others. You can build different sections of your castle with different teams. But connecting all the bricks together requires planning, and a bag full of loose LEGO bricks is harder to manage than one piece of Play-Doh.

Neither is better in all situations. The question is: which fits your project right now?

What is a Monolith?

A monolith is a single application where all the code lives and runs together. Your user authentication, product catalog, payment processing, email sending โ€” all in the same codebase, deployed as one unit.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚           MONOLITH APP                 โ”‚
โ”‚                                        โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”           โ”‚
โ”‚  โ”‚  Auth    โ”‚  โ”‚ Products โ”‚           โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜           โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”           โ”‚
โ”‚  โ”‚ Payments โ”‚  โ”‚  Email   โ”‚           โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜           โ”‚
โ”‚                                        โ”‚
โ”‚         One database                   โ”‚
โ”‚         One deployment                 โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
Famous monoliths you use every day

Shopify, GitHub (for a long time), and Stack Overflow are all monoliths. They serve millions of users just fine. A monolith is not a sign of bad engineering.

What are Microservices?

Microservices split your application into many small, independent services. Each service:

  • Does one specific thing well
  • Has its own database
  • Communicates with other services via APIs or messages
  • Can be deployed independently

Microservices architecture

API
API GatewaySingle entry point
Auth
Auth ServiceHandles login/tokens
Products
Product ServiceCatalog & inventory
Orders
Order ServiceOrder management
Email
Email ServiceNotifications

Each box is a separate application, running on its own server, with its own database. A team can work on the Order Service without ever touching the Product Service.

The Real Comparison

Feature
๐ŸงฑMicroservices
๐Ÿ—๏ธMonolith
Initial development speed
Slow (more setup)
Fast
Scale individual parts

Scale only what needs it

One bug takes down everything
Team independence
Simple to debug
Simple to deploy
Good for small team
Good for 50+ engineers
Infrastructure cost
High
Low
Network latency overhead
Yes
No
โšก
When to use what

Start with a monolith. Split into microservices only when the monolith's problems become real problems for your business.

Why Netflix Moved to Microservices

Netflix started as a monolith. When their DVD-by-mail service moved to streaming, the traffic exploded. In 2008, a database corruption bug took the entire site down for 3 days.

That moment changed everything. If one bug in one part of the code can kill everything, you need isolation.

๐Ÿข
Real-Life Analogy

The office building analogy

A monolith is like one giant open office. A fire in the kitchen affects everyone. Microservices are like separate office buildings. A fire in building A does not spread to buildings B, C, or D. Each building has its own fire alarm, its own exits, its own management.

Netflix needed:

  • The video streaming part to scale independently from the billing part
  • A bug in recommendations to never affect the ability to play videos
  • 50+ engineering teams to work without stepping on each other

Microservices solved all three. But it created new problems: 700 services to monitor, complex network communication, distributed system failures. There is no free lunch.

The Honest Advice

Start with a monolith if...

You are a startup or small team. You are still figuring out your product. You have fewer than 20 engineers. Speed of development matters most. This is what most successful companies did โ€” including Twitter, Uber, and Airbnb.

Consider microservices when...

You have 50+ engineers who keep blocking each other. Specific parts of your app have completely different scaling needs. A bug in one area genuinely threatens your whole business. You have the DevOps maturity to manage distributed systems.

The trap everyone falls into

Building microservices from day one because Netflix does it. Netflix has thousands of engineers. Their problems are not your problems. Starting with microservices as a 3-person startup will slow you down dramatically with zero benefit.

Summary

A monolith is one app. Simple to build, simple to deploy, simple to debug. It has a ceiling โ€” at large scale, it becomes hard to manage.

Microservices are many apps. Independent, scalable, resilient. They have a floor โ€” the complexity overhead is only worth it above a certain company size.

The pattern that actually works: start monolith, extract services when you feel real pain. Not theoretical pain. Real pain. That is what Netflix, Amazon, and Uber all did.

Build something that works first. Optimize the architecture when the current one becomes the bottleneck.

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