Microservices or Monolith: What Should Your Business Choose?
The choice between microservices and a monolith often turns into an argument about trends rather than business. A client hears the word "microservices" at a conference and arrives with a ready-made requirement before having a single paying user. In this article we look at the question from an engineering and financial angle: what these approaches actually are, when each is justified, what they cost to operate, and why prematurely splitting your architecture is one of the most expensive mistakes at an early product stage.
Monolith and microservices in plain terms
A monolith is a single application in which all the code (authentication, billing, catalog, notifications) lives in one project and is deployed as a single unit. Modules communicate through in-process function calls, work with one database, and ship with one deploy command.
Microservices are a set of independent applications, each responsible for its own business domain, with its own database, deployed separately. Services talk over the network — via REST, gRPC, or message queues. Each can have its own language, its own team, and its own release cycle.
The key difference is not the amount of code but the boundaries of deployment and data ownership. A monolith is one wallet and one contract; microservices are a dozen contractors, each with a separate invoice, and someone has to coordinate them.
When a monolith is the right choice
For the vast majority of new products in Uzbekistan, a monolith is not a compromise but the optimal solution. It wins where speed to market and low cost of ownership matter most.
- Startup and MVP. While you are testing a hypothesis, requirements change weekly. In a monolith it is easier to change contracts between modules — it is just refactoring, not a network negotiation between services.
- Small team. If 2–6 developers work on the project, there is simply no one to operate a product split into services.
- Predictable load. A corporate portal, CRM, an early-stage marketplace, an internal accounting system — here a monolith carries the load for years.
- Limited DevOps budget. A monolith can run on one or two servers without Kubernetes, without a service mesh, and without a dedicated infrastructure engineer.
When microservices are genuinely justified
Microservices are a tool for scaling an organization, not just technology. They start paying off when concrete pains appear that a monolith can no longer solve.
- Several independent teams. When 4+ teams work on the product and get in each other's way within one repository, splitting into services removes release conflicts.
- Different load on different parts. If a notifications or search module is loaded dozens of times more than the rest, it is worth scaling it separately rather than cloning the entire monolith.
- Different reliability requirements. A payment flow must stay alive even if the analytics module crashes — service isolation provides exactly that.
- Different technologies. When one part needs Python for ML and another needs Go for raw speed, services let you avoid mixing stacks.
Importantly, none of these points is about being "trendy" or building "for the future." These are concrete constraints you have actually hit in production.
What it really costs
The cost of microservices is almost never counted honestly. Writing the code itself may be comparable, but the operational burden differs by a multiple.
Monolith: one deploy pipeline, one or two servers, one database, one set of logs. The same team that writes the code can maintain it. Infrastructure starts from a couple of servers in a data center or with a local Uzbek provider.
Microservices: orchestration (often Kubernetes), inter-service communication, distributed logs and tracing, message queues, separate work on data consistency, monitoring for every service. A dedicated DevOps engineer or team is almost always required.
In the Uzbekistan market this is especially sensitive: qualified DevOps and SRE specialists are scarce and expensive. Some products are forced to host infrastructure abroad due to latency requirements or cloud service availability, which adds cost and operational complexity. Without a mature operations team, a microservices architecture becomes a constant source of downtime and bills.
The main mistake: premature splitting
The most common and most expensive mistake is designing the system as a dozen microservices before the product and the understanding of the domain even exist.
The root of the problem is that at an early stage you do not yet know the correct boundaries between services. Boundaries drawn "on paper" before launch almost always turn out to be wrong, and re-splitting services is more expensive than refactoring a monolith. So the sound approach is not "monolith versus microservices" but "monolith first."
A practical strategy is the modular monolith: one deploy, but clear internal boundaries between modules, data isolation by domain, and no direct access to another module's tables. Such a monolith is easy to maintain, and when a specific module genuinely hits a load ceiling or demands its own team, it can be carefully extracted into a service — along a live boundary proven by production, not one guessed in advance.
How to decide in your case
Ask yourself a few honest questions. How many developers do you have right now? Is there a dedicated person or team for infrastructure? Have you reached a load that a single server can no longer handle? Are there parts of the system with fundamentally different scale and reliability requirements? If the answer to most is "no" — you need a modular monolith, not microservices.
Conclusion
Microservices solve the organizational and load problems of a mature product; they are not a way to make a startup look "modern." For most businesses in Uzbekistan, the right path is to start with a clean modular monolith, get to market quickly, and split the architecture selectively — only when real constraints appear. At OneDev we design systems around concrete business goals and budgets rather than buzzwords, and we are equally capable of building scalable monoliths and microservices architectures where they are justified. Tell us about your project — we will help you choose an architecture that saves money instead of burning it.
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