I’ve watched three startups burn months splitting a monolith into microservices before they even had product-market fit. Every time, they regretted it. This is the post I wish someone had shown them.

Every startup I’ve seen adopt microservices too early has regretted it. Every single one.

The fantasy

“We’ll have independent services that deploy separately, scale independently, and teams can work without stepping on each other.”

The reality

You now have:

• 12 repos instead of 1
• A service mesh you don’t understand
• Network calls where function calls used to be
• Distributed transactions that fail in ways you can’t reproduce locally
• A Kubernetes cluster that costs more than your developers
• 3 engineers spending 40% of their time on infrastructure instead of features

The math doesn’t work for small teams

Microservices make sense when you have 100+ engineers and the monolith is genuinely slowing you down because teams are blocking each other.

If you have 5-20 developers, a well-structured monolith is:

• Faster to develop — no network overhead, no service discovery, no API contracts between teams
• Easier to debug — one stack trace instead of distributed tracing across 8 services
• Cheaper to run — one server instead of a Kubernetes cluster
• Simpler to deploy — one pipeline instead of 12

”But Netflix uses microservices!”

Netflix has 12,000+ engineers. You have 8. Netflix’s problems are not your problems.

Also, Netflix started as a monolith. So did Amazon. So did Shopify (which is still largely a monolith and handles Black Friday traffic just fine).

The real problems microservices solve

1. Team independence — when 200 engineers can’t merge to the same repo without conflicts
2. Independent scaling — when your search service needs 50x the compute of your user service
3. Technology diversity — when one team genuinely needs Python ML and another needs Go for performance

If none of these apply to you, you’re adding complexity for no benefit.

What to do instead

Start with a modular monolith. Structure your code into clear modules with defined boundaries:

src/
  modules/
    auth/
    billing/
    notifications/
    products/
  shared/
    database/
    middleware/

Each module has its own routes, services, and data access. They communicate through defined interfaces, not direct database queries. When (if) you need to extract a service later, the boundaries are already there.

The extraction rule

Extract a microservice when:

• A specific module needs to scale independently (you have metrics proving this)
• A team is genuinely blocked by the monolith’s deploy cycle
• A module needs a different technology stack

Until then, enjoy your simple deploys, your single database, and your stack traces that actually make sense.

The conversation you should actually be having

Instead of “should we use microservices?”, ask:

• “What’s our biggest deployment bottleneck right now?” (Usually it’s tests, not architecture)
• “Which part of the codebase changes most often?” (That’s your candidate for extraction — later)
• “How many developers are blocked by each other?” (If the answer is “rarely,” you don’t have a monolith problem)

Most teams that adopt microservices prematurely spend more time debugging distributed systems than building features. A well-structured monolith with clear module boundaries will take you further than you think — and when you do need to extract a service, the boundaries are already there.

Related: Monolith vs Microservices · Docker vs Kubernetes · What is a Microservice? · Stop Over Engineering Side Projects