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Monolith vs Microservices: What I Learned from Real Projects
I used to think microservices meant a more scalable and professional system.
-> After working on real projects, I learned something different:
The best architecture isn’t the most complex one. It’s the one that solves the problem without creating unnecessary problems.
-> A monolith can be easier to develop, test, deploy, and maintain, especially for a small team or early-stage product.
-> Microservices can make sense when you have clear domain boundaries, independent scaling needs, large teams, or services that genuinely need to evolve separately.
But splitting a monolith too early can introduce:
→ Network complexity
→ Distributed debugging
→ Deployment overhead
→ Data consistency challenges
→ More DevOps work
One approach I now prefer is a modular monolith: keep deployment simple while designing clear boundaries so parts can evolve independently later.
Architecture should follow business needs, team size, and system complexity, not hype.
I share more practical lessons about web development at blog.webdevlab.org.
What would you choose for your next project: monolith, modular monolith, or microservices, and why?
#SoftwareArchitecture #Microservices #Monolith #WebDevelopment #JavaScript #NodeJS #FullStackDevelopment #SystemDesign #BackendDevelopment #SoftwareEngineering
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I’m currently building at the intersection of AI, backend engineering, and blockchain.
🤖 AI / GenAI: Building LLM-powered applications, RAG pipelines, AI agents, workflow automation, and experimenting with model fine-tuning.
⚙️ Backend: Designing scalable APIs and distributed systems using Python, FastAPI, Node.js, PostgreSQL, Redis, Kafka, and AWS.
🔗 Blockchain: Building and contributing to Web3 infrastructure across Ethereum, Solana, Cardano, and other ecosystems.
I’m particularly interested in building production-ready AI products and developer tools that solve real-world problems.
Currently open to collaborating with founders, startups, and teams building ambitious products.