Monolith vs Microservices: The Art of Splitting
It's the most heated debate of the decade. Should you build a single giant application or an army of small autonomous services? The answer is not technical, it is organizational.
The Three Musketeers
The Swiss Army Knife. Everything is in one block of code (Auth, Payment, Products). A single database.
- Simple to deploy.
- Hard to maintain when it grows.
The Toolbox. Dozens of small independent programs talking via network (HTTP/gRPC).
- Precise scalability.
- Operational hell (DevOps).
The Middle Ground. Single deployable unit, but with strictly separated folders inside.
- Best of both worlds to start.
Visualization

Truth Table
| Criteria | Monolith | Microservices |
|---|---|---|
| Deployment | Simple (1 binary) | Complex (Orchestration needed) |
| Development | Fast at start, slow at scale | Slow at start, fast at scale |
| Database | Shared (Easy Joins) | Separate (No Joins possible) |
| Failure | Everything crashes (SPOF) | Isolated (Rest survives) |
| Teams | Everyone touches everything | Autonomous Squads |
When to choose what? (The Survival Guide)
Choose Monolith if...
- You are a Startup or in MVP phase.
- Your team is small (< 10 developers).
- The business domain is fuzzy and changes often.
- You don't have a dedicated DevOps expert.
Switch to Microservices if...
- You need to scale specific parts (e.g., Video Encoding) independently.
- You have multiple teams (> 30 developers).
- You need different technologies (Python for AI, Node for API).
In Interviews (System Design)
"Never propose Microservices on Day 1, unless you are explicitly asked to design Uber or Netflix."
Flash Quiz
Your Turn: The Surgeon
Mission: Extract a Service
You have a monolithic E-commerce site.
The "PDF Invoice Generation" module consumes 80% of the CPU and slows down the whole site.
Your mission: Draw the architecture after extracting this module into its own Microservice. Don't forget communication (Queue or HTTP?) and storage.
For the Curious (Bonus)
Like a Strangler Fig (tropical plant), we build new services around the old system, intercepting requests little by little, until the monolith is no longer needed and can be turned off.