Monolith vs Microservices: What I Actually Prefer in My Tech Stack

When it comes to choosing between monoliths and microservices, there isn’t a one-size-fits-all answer.

In my development workflow, I use both — depending on the scale and complexity of the project. Here’s how I think about it:

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1. Monolith for Simplicity (Next.js)

For smaller, simpler projects, I prefer monoliths. Specifically, I use Next.js for basic websites.

Why?

• Speed: Everything is in one place, reducing overhead.

• Simplicity: One codebase is easier to manage.

• Quick iteration: I can move fast without worrying about complex service boundaries.

When the project is small enough that splitting into microservices doesn’t add value, Next.js handles the job beautifully with minimal complexity.

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2. Microservices for Complex Features (FastAPI)

When my project grows in complexity, particularly with features like AI integrations or WebSockets, I turn to microservices.

In this case, I prefer FastAPI for backend services due to:

• High performance: FastAPI is built for speed.

• Modularity: I can separate concerns into discrete services.

• Flexibility: AI services or WebSockets are better off in isolated services.

Here, microservices provide a clear advantage in decoupling complex parts of the system, while maintaining performance.

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3. Django for Cross-Platform Applications

For large-scale, cross-platform projects, Django is my go-to framework. It handles:

• WebSockets: Great support for real-time features.

• AI integrations: Easily integrates with machine learning models and services.

• Complex logic: When the app needs to handle both the frontend and backend in a unified system, Django’s full-stack approach is ideal.

For projects that require both backend logic and frontend interaction, Django is robust enough to manage everything without the need for splitting into microservices.

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Why I Don’t Just Pick One

The choice between monolith and microservices comes down to project needs:

• Monolith when you need speed, simplicity, and quick iteration (like in smaller projects).

• Microservices when you need scalability, performance, and separation of concerns for complex features.

• Django when you need a unified solution that can handle both web and backend efficiently, especially for cross-platform systems.

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Conclusion

Ultimately, the architecture choice isn’t about following trends or what's popular in the tech world. It’s about choosing the right tool for the job.

I use monoliths and microservices based on project size, complexity, and the features required. Both approaches have their strengths — it’s about finding the balance that works for you and your product.