Microservices is an approach to building software where one application is broken into many small services that each handle a single responsibility and run independently. Instead of one large program, you have a payments service, a user service, a notification service, and so on, each able to be built, deployed and scaled on its own.
Think of a big restaurant chain versus a food court. In the chain, one giant kitchen cooks everything, so a problem in the dessert station can hold up the whole line. In a food court, each stall runs its own kitchen with its own staff and hours; if the pizza place is slammed, the sushi stall keeps serving. Microservices give software that food-court structure: a fault or a rush in one service does not have to take down the rest. The services coordinate by calling each other’s APIs, often through an API gateway that routes requests to the right place.
The flexibility comes at a price. More services mean more networking, monitoring and deployment to manage, which is why many teams start with a modular monolith and split off services only when a clear need appears.
The hardest part is usually not the code but the data. In a monolith one database can answer a question in a single query; spread across services, that same question may touch three of them, and keeping them consistent without a shared table is a genuine engineering problem. A common rookie mistake is to split by technical layer rather than by business capability, which leaves every change rippling across half the services and brings back all the coupling microservices were meant to remove. Done well, the boundaries follow how the business actually works, so one team can ship its service on Tuesday without waiting on anyone else.
At TopDevs we choose this architecture only when scale and team size genuinely call for it, so clients get the benefit without paying for complexity they do not need.
