Microservices are a way of building an application as many small, separate programs instead of one big one. Each small program, a service, handles one business job, such as payments, catalog, search or email, keeps its own data and can be updated without touching the others. Together they make up the product the customer sees.

The term concerns founders and brands who commission software or evaluate a technical proposal. Agencies sometimes pitch microservices as the modern, scalable choice. Sometimes that is right. Often, for a small business, it multiplies hosting bills, development time and the number of things that can break. Understanding the trade-off helps you push back or agree for the right reasons.

What are microservices?

Microservices are an architecture style in which an application is composed of small, independently deployable services, each organized around a business capability and owning its data. The services communicate over the network, through API calls or through events.

Three properties define the style:

  • Independent deployment. Each service can be released on its own schedule. Updating search does not require redeploying checkout.
  • Data ownership. Each service has its own database or storage. No other service reads that data directly; it asks the owning service.
  • Business boundaries. Services follow business areas, like orders, inventory or customers, rather than technical layers like "the database part".

What microservices are not: simply "many files" or "many folders". A single application split into modules is still one deployable unit. They are also not the same as serverless functions, although services can run on serverless platforms. And splitting code into services that all share one database gives you most of the costs of microservices with few of the benefits; engineers call that a distributed monolith.

The opposite style is the monolith, one application deployed as a single unit. Many teams land in between, with a well-organized monolith plus two or three separate services for parts with special needs. Microservices frequently rely on event-driven architecture so services stay loosely connected. The choice between these styles is one of the central decisions of software architecture.

Why it matters

Microservices trade simplicity for independence. That trade pays off for large organizations and costs a lot for small ones.

Take a startup that raised $150,000 to build a marketplace for handmade goods. An agency proposes 9 microservices: users, catalog, search, cart, orders, payments, reviews, notifications and admin. Each needs its own code repository, deployment pipeline, database, monitoring and security updates. The quote is $90,000 and 5 months, with hosting at about $900 a month, because every service runs separately with its own resources.

Another developer proposes a single, well-structured application with clear modules for the same features. The quote is $50,000 and 3 months, with hosting around $150 a month.

The difference over the first year is roughly $40,000 in build cost plus $9,000 in hosting, about a third of the funding. The monolith also reaches customers two months sooner, which is two months of learning and revenue. At that stage the marketplace has a team of two developers and a few hundred orders a month. None of the benefits of microservices, like independent teams or scaling search separately, apply yet.

The picture reverses for a company with 80 engineers and millions of monthly visits. There, one shared codebase makes teams wait for each other, and a bug in reviews can take down checkout. Splitting the system lets teams ship daily without coordinating every release.

How it works

A microservices system runs on a set of recurring mechanisms:

  • Services by business capability. Each service owns a clear job, for example inventory knows how many units exist and reserves them.
  • Private data. Inventory has its own database. The orders service never reads it directly; it calls inventory.
  • Network communication. Services talk through synchronous requests when they need an answer now, and through events when others simply need to know.
  • API gateway. A front door receives the customer's requests and routes each one to the right service.
  • Independent pipelines. Each service has its own tests and deployment, so a team can release several times a day.
  • Observability. Logs, metrics and tracing follow a single request across services, because a slow checkout may be caused by a service three hops away.
  • Resilience patterns. Timeouts, retries and fallbacks keep one failing service from dragging down the rest.

Benchmarks and examples

Realistic reference points help place microservices on the right scale.

  • Solo creators and small stores: no benefit. A hosted platform or a simple application covers thousands of orders a month.
  • Startups before product-market fit: usually a monolith. Many well-known companies started this way and split later, once they knew where the real boundaries were.
  • Companies with several teams of 30 to 50 engineers or more: microservices start to pay, mostly for organizational reasons.

A common rule of thumb says one team of 5 to 9 people can own a handful of services comfortably. If you have more services than engineers, the operational load usually dominates. Each extra service commonly adds $20 to $200 a month in hosting at small scale, plus monitoring and maintenance time. A network call between services adds a few milliseconds; a page that needs ten sequential calls can add noticeable delay, which matters on mobile where speed affects conversion rate.

Common mistakes

  • Starting with microservices. Splitting before you understand the business puts the boundaries in the wrong place, and moving them later is expensive.
  • Sharing a database. Services that read each other's tables cannot be deployed independently. You pay for the complexity without the freedom.
  • Too many, too small. A service per database table produces constant cross-service calls and slow, fragile pages.
  • Underestimating operations. Without tracing, central logs and alerts, finding why an order failed can take hours.
  • Ignoring data consistency. An order spanning payments, inventory and shipping cannot use a single database transaction. It needs deliberate patterns to handle partial failures.

Best practices

  • Start with a modular monolith. Organize code by business area from day one, so extracting a service later is a cut along an existing line.
  • Extract for a concrete reason. Split a part out when it needs different scaling, a different release pace or a separate team, not because it is fashionable.
  • Give each service one owner. A named team is responsible for its code, data and uptime.
  • Design contracts carefully. Document each service's API and events, and change them in backward-compatible ways.
  • Invest in observability early. Central logs and request tracing are not optional once you have more than two or three services.
  • Ask for the total cost. When an agency proposes microservices, ask for hosting, monitoring and maintenance costs per month, not just the build price.

In Roctify

Whether a platform is built as microservices or as a monolith is its own engineering choice, and on a SaaS like Roctify it is not something you have to manage. Roctify hosts your store, keeps it updated, and serves every page over HTTPS with a free SSL certificate. Servers, deployments and security updates are handled for you, so you never have to decide how many services your store runs on.

What you see is the result: one shared catalog where products, variants, stock, prices, customers and orders are shared by your link-in-bio page and your store, with stock updated everywhere at once. You get the benefit microservices promise large companies, a system that keeps running and evolving, without paying for nine services and the team to operate them. Integrations beyond the built-in features are discussed on the Enterprise plan.

FAQ

Are microservices better than a monolith?

Neither is better in general. Microservices suit large organizations with many teams and parts that scale very differently. A monolith suits small teams and new products, because it is faster to build, cheaper to run and easier to debug.

Do microservices make a website faster?

Not by themselves. They let you scale busy parts separately, which helps under heavy load. For a normal store, the extra network calls can even add delay. Speed comes mostly from caching, optimized images and efficient pages.

How many microservices does a typical company have?

It ranges from a handful to thousands. Small product companies that use the style often have 5 to 20 services. Very large platforms run hundreds or more, with dedicated teams just for the tooling that keeps them working together.