Your Microservices Aren't Microservices

#backend #systemdesign #microservices #architecture

You split your monolith into 12 services. You're doing microservices now.

Except every service calls every other service. Deploy one, you have to deploy all of them. One goes down, the whole system goes down.

You didn't build microservices. You built a distributed monolith.

You took a system that ran in one place and scattered it across the network — keeping all the tight coupling, but adding latency, failure points, and DevOps pain on top.

This is the worst of both worlds. And most teams don't realize they're in it until production is on fire.
How You Got Here

It usually starts with good intentions.

The monolith felt slow and scary. Microservices were the answer everyone preached. So you started splitting.

But you split by technical layers, not by business domains. You created a "database service," an "auth service," a "notification service" — and they all depend on each other to do anything useful.

Now placing an order touches eight services in a single request. Each call adds network latency. Each service is a new place to fail.

You didn't decouple anything. You just added network calls between functions that used to be a simple method call.
The Signs You Have a Distributed Monolith

Be honest. How many of these are true?

You can't deploy one service without deploying others
One service going down takes the whole system with it
A single user action triggers a chain of 5+ service calls
Services share the same database
You need all services running locally just to test one feature
Changing one service's API breaks three others

If you nodded at three or more, you don't have microservices. You have a monolith with extra network latency and a much harder deployment story.
Why This Is Worse Than a Monolith

A regular monolith has one real advantage: simplicity.

One deploy. One process. Function calls are instant. Debugging is straightforward. Transactions are easy.

A distributed monolith throws all of that away and gives you nothing in return:

**Network latency **on every internal call
**Partial failures **— service A succeeds, service B fails, now your data is inconsistent
**Distributed debugging **— tracing a bug across 8 services and 4 logs
**Deployment coordination **— you can't ship one thing without shipping everything
**Operational overhead **— monitoring, scaling, and securing 12 services instead of 1

You took on all the complexity of distributed systems and kept all the coupling of a monolith.
What Real Microservices Look Like

True microservices are independent. That's the entire point.

1. Split by Business Domain, Not Technical Layer

Don't build a "database service." Build an "Orders service" that owns everything about orders — its logic, its data, its rules.

Each service is a complete vertical slice of business capability. It can do its job without constantly asking others for help.

2. Each Service Owns Its Data

No shared databases. The Orders service has its own database. The Inventory service has its own. They never reach into each other's tables.

If Orders needs inventory data, it asks through an API or an event — it doesn't query Inventory's database directly.

3. Services Communicate Loosely

Where possible, use asynchronous events instead of synchronous calls.

When an order is placed, the Orders service emits an OrderPlaced event. Inventory and Notifications react to it on their own. Orders doesn't wait. Orders doesn't even know who's listening.

If Notifications is down, orders still go through. That's independence.

4. Independent Deployment

You should be able to deploy the Orders service at 2 PM on a Tuesday without touching anything else. No coordination. No "deploy everything together" ritual.

If you can't, your services are still coupled.
The Honest Truth About Microservices

Most startups don't need microservices at all.

A well-structured monolith — clean modules, clear boundaries, one database — will take you further than you think. Often all the way to serious scale.

Microservices solve organizational problems more than technical ones. They let large teams work independently on separate parts of a system. If you have 8 engineers, you probably don't have that problem yet.

Splitting too early gives you all the complexity of distributed systems with none of the benefits. You spend your time managing infrastructure instead of building product.
Our Take

At Qodors, we've seen more startups hurt by premature microservices than helped by them.

The right path is usually:

Start with a clean, modular monolith
Draw clear boundaries between business domains inside it
Extract a service only when you have a real reason — a piece that needs independent scaling, a team that needs independence, a component with different reliability needs

When you do split, split by domain, give each service its own data, and make them communicate loosely.

Microservices are a tool, not a trophy. Use them when the problem demands it — not because a blog post told you monoliths are dead.
Before You Split Your Next Service

Five questions to ask first:

Are you splitting by business domain or technical layer? Domain is right. Layer is a trap.
Will this service own its own data? If it shares a database, it's not independent.
Can it be deployed alone? If not, you've just added a network call.
Can it survive other services being down? Real services degrade gracefully.
Do you actually need this split? Or would a clean module in your monolith do the job?

Microservices aren't about having many services.

They're about having **independent **ones.

Get that wrong, and you've just made your monolith slower and harder to deploy.