I've seen monolithic applications running perfectly, but when bosses decide to read too many Netflix engineering blogs... let's rewrite everything into 30 independent microservices using Node.js and Docker. Oh God....

Now, to load the user's home page, the system makes fourteen internal HTTP calls. The website takes three seconds to respond, the database has locks everywhere, and the team of five programmers spends more time configuring load balancers than coding features. They've built a "distributed monolith," the worst of all possible architectures.

The Fallacies of Distributed Computing

When you develop a monolith, if the CreateOrder() function needs to check stock, it makes an in-memory call to CheckStock(). The execution time is nanoseconds and, most importantly, if it fails, you use a classic SQL transaction:

-- Transacción ACID clásica en un monolito
BEGIN TRANSACTION;
    INSERT INTO Pedidos (Id, Total) VALUES (123, 50.00);
    UPDATE Stock SET Cantidad = Cantidad - 1 WHERE ProductoId = 9;
COMMIT;

When you move to microservices, that in-memory call turns into an HTTP request over the internal network. The network has latency, it can fail, and packets get lost. And worst of all: you can't do a magical BEGIN TRANSACTION that simultaneously locks the Orders Service's PostgreSQL database and the Inventory Service's MongoDB database.

If the inventory fails, you have to program manual compensation logic (the Saga pattern) to undo the order. You are injecting all the complexity of distributed systems directly into your business code.

Reflection: An Organizational Problem, Not a Technical One

Microservices are brilliant, but they don't solve a technical performance problem (in fact, they add a lot of latency due to JSON serialization on every network hop). Microservices solve an organizational problem.

If you are Amazon, Spotify, or Uber and you have 500 engineers fighting to git merge into the same repository, the deployment friction is unbearable. In that scenario, isolating teams into independent microservices with their own databases and deployment cycles is pure survival. It allows Team A to deploy to production without notifying Team B.

But if you're five developers in a small office, a well-structured monolith with a clean architecture (like pure MVC or Hexagonal) is your best weapon. The industry has forgotten the beauty of simplicity. Breaking a monolith just for technological fashion, without having the DevOps maturity to monitor distributed traces or coordinate complex orchestrators, is guaranteed technical suicide.