Microservices are an architectural style that breaks applications down into smaller, independent parts. Each part, or “service,” is designed to handle a single function, such as user authentication, payment processing, or product search.
Because every service runs in its own process and communicates through a clear API, you can build, test, and scale it without affecting the rest of the system. This differs from a monolithic architecture, where the entire application is delivered as a single, tightly bound unit.
You can think of a monolith as a single block of code where changing one part often requires reshaping the application or codebase. Microservices, by contrast, work more like LEGO bricks. You assemble your application from modular pieces, add new ones when requirements change, and replace old ones without rebuilding the entire system.
Microservices are defined by several principles, each contributing to faster delivery, clearer ownership, and more resilient applications.
Each service is small and focused on a single business capability (e.g., user authentication, payment processing, or product catalog). This limited scope makes the codebase easier to understand, develop, test, and maintain.
In a microservices setup, each service runs as a standalone unit. This gives you the freedom to update, deploy, or scale one service without touching the rest of the application.
For example, if the team responsible for the "product search" service wants to deploy a new feature, they don’t have to coordinate with the "payment processing" team or redeploy the entire application.
Microservices are structured to match how the business actually operates. Instead of grouping code by technical layers like “front end” or “database,” you align each service with a specific business function.
In an e-commerce platform, that might mean one service for inventory, another for customer reviews, and another for shipping. This alignment ensures that every service delivers a clear business outcome, with a cross-functional team owning it end to end.
In a microservices architecture, each service manages its own data instead of sharing a single database with others. For example, the ‘user’ service stores user information in its own database, while the ‘orders’ service keeps order details in a separate one. This setup prevents services from sharing one database and lets each team control its own data.
The challenge, however, is keeping data consistent when services share information, which can lead to duplication or conflicts. To handle this, you can use patterns like event-driven communication, asynchronous messaging, or direct API calls to share data while keeping services independent.
With a microservices architecture, you aren't locked into a single technology stack. Instead, you can choose the right tool for each job. For example, your payments service might run on Java with a relational database, while your recommendation service could use Python with a NoSQL store. This flexibility lets you optimize performance, tap into the skills of your team, and adapt to the unique needs of each service.
However, if every service uses a different stack, the system can quickly become fragmented. To prevent that, you should establish consistent practices for monitoring, security, and deployment across all services, no matter which language or database is chosen.
Microservices bring clear advantages when you are building or scaling large, complex applications. They allow you to move faster, stay more resilient, and have technology choices as your system evolves.
Microservices improve scalability and speed, but their distributed nature also brings added complexity in operations, testing, and data management.
A microservices architecture is not always the right choice. For small projects, startups, or simple applications, a monolith can be a better starting point. It's generally simpler to develop, test, and deploy for small and stable applications.
Microservices are most valuable when you are dealing with:
Many organisations begin with a monolith to get their product to market quickly. As the application and team grow in size and complexity, they often evolve into a microservices architecture. This gradual path is widely known as the “Monolith First” approach.
Since microservices usually run across distributed, containerized, multi-cloud or hybrid environments, managing them at scale is where teams hit pain points. A multi-cloud management solution like the emma platform can help overcome those challenges.
As a core technology for cloud-native applications, microservices have become essential. To gain their full benefits, they should be adopted carefully and with clear understanding. With the right practices in automation, monitoring, and governance, microservices can certainly enable faster innovation without sacrificing consistency and reliability.