Microservices: More Dangerous Than Monolithic When Half-Cooked! ????
Mohsin Muhammad
?? Technical Lead | Full-Stack Developer | AI & Cloud Solutions | Node.js | PHP (Laravel) | Generative AI | AWS
Microservices are supposed to be the future—scalable, flexible, and efficient. But when done wrong, they can become a nightmare far worse than a monolithic system.
Welcome to the world of Half-Cooked Microservices, where companies take a “we kinda use microservices” approach, creating a fragile, overcomplicated mess instead of a well-structured system.
Monolithic vs. Microservices: The Good Old Debate ??? vs. ??
Sounds great, right? But here’s where things go horribly wrong...
What Are Half-Cooked Microservices? ????
Some companies hear “microservices” and jump in blindly. They break their monolith into smaller services but ignore key principles, leading to chaos. They forget to implement:
? API Gateways – Instead of structured communication, services randomly call each other like lost tourists.
? Message Brokers (Kafka, RabbitMQ, etc.) – Instead of using proper asynchronous messaging, they rely on REST calls, causing latency and failure chains.
? Proper Data Management – Instead of separate databases, all services poke at the same database, turning it into a single point of failure.
And here’s another HUGE issue:
? Managing Multiple Services and Deployments – Now, instead of deploying one monolithic app, you have 20+ microservices to deploy and monitor separately. Congratulations, you just multiplied your DevOps headaches!
The Hidden Costs of Half-Cooked Microservices ??
1?? More Services, More Chaos
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2?? Distributed Mess, Not a System
3?? Deployment Hell ??
4?? Latency & Performance Issues ?
5?? Security Risks ??
How to Avoid Half-Cooked Microservices? ?
If you’re going microservices, go all in—properly. Here’s what you need:
?? API Gateway – Controls and routes traffic efficiently. Think of it as your system’s security checkpoint.
?? Message Brokers (Kafka, RabbitMQ) – Helps services communicate asynchronously and prevents overloading the system.
?? Proper Database Strategy – Either give each service its own DB or use a distributed solution.
?? Deployment Automation – Use Kubernetes, Docker, and CI/CD pipelines to manage multiple services efficiently.
?? Monitoring & Logging – Debugging microservices is 10x harder than monoliths—so use proper logging tools.
?? Team Training – If your developers don’t fully understand microservices architecture, stick to monolithic until you’re ready.