Microservices and Kubernetes solve the problems of companies at Google or Netflix scale, and most startups have none of those problems. A boring, well-built monolith on a mature stack, Rails, Laravel, Django or Node, handles millions of users happily. Start with the monolith, and split out a service only when a specific, real bottleneck forces you to, not because the architecture is fashionable.
What the microservices choice actually costs
- Distributed-systems complexity: network calls that fail, data spread across services, and debugging that spans many moving parts.
- Slower delivery for a small team, which now coordinates changes across services instead of editing one codebase.
- Operational overhead: more to deploy, monitor and keep in sync, paid every single day.
- All of it in exchange for solving scaling problems you very likely do not have yet.
Why "you need microservices" is usually cargo-culting
The advice to split everything into services and orchestrate them copies the solutions of enormous companies onto startups with none of their scale or team size. Google and Netflix adopted microservices because hundreds of teams and planetary traffic made a single codebase genuinely painful. A ten-person startup has the opposite situation: one small team, modest traffic, and everything to gain from the simplicity of one codebase it can hold in its head. Adopting the big-company architecture without the big-company problems just imports the costs and none of the benefits.
Why the boring monolith scales
Well-run monoliths quietly power large products across every mature stack, because scale is mostly decided by things a monolith does perfectly well: caching, sensible database use, read replicas, and clean internal structure. A single codebase is easier to reason about, faster to change, and simpler to operate, which for a small team is a decisive advantage. The framework barely matters here. A monolith scales, or struggles, for the same reasons whether it is written in one language or another, and that reason is almost never "it was a monolith".
When splitting is the right call
There is a real moment to extract a service, and it is defined by a specific need, not a trend. When one part of the system has genuinely different scaling demands from the rest, pulling it out to scale independently makes sense. When your team grows large enough that a single codebase slows everyone down, service boundaries can buy back speed. Wait for that concrete signal, then split that one part, and keep the rest simple. Starting simple is not a lack of ambition. It is how you avoid paying, for years, for problems you may never have.
Build simple, scale when it counts
EbizIndia builds systems that start simple and split only where a real bottleneck demands it, on whatever stack fits your product.
See how we build for scaleQuestions founders ask
Can a monolith handle millions of users?
Yes. Plenty of large products run on a single well-built monolith, on stacks like Rails, Laravel, Django and Node. Scale is mostly about caching, the database and good architecture, not about splitting the code into many services.
When should I move to microservices?
When a specific, real bottleneck demands it: a part of the system with genuinely different scaling needs, or teams large enough that a single codebase slows them down. Not before, and not because it is fashionable.
Why are microservices risky for a startup?
They trade code complexity for distributed-systems complexity: network failures, data spread across services, and far harder debugging. A small team pays that cost every day for problems it does not yet have.
Does the choice depend on my language or framework?
No. A monolith scales or struggles for the same reasons in any stack. The framework matters far less than whether you cache well, use the database sensibly, and keep the architecture clean.