Microservices is a way of building software that sees an application created as a collection of individual services. A microservices architecture is fundamentally modular — it breaks down applications into small component functions which are built and managed individually. This is in direct contrast to monolithic architectures, where software is created as one large, complex service.
A good example of microservices in context is a consumer website with different functions such as search, payment and user login. With a microservices approach, these component parts are all built independently. Each service fulfils a single purpose, and they all communicate with each other to provide a unified experience for the end user.
There are several benefits to microservices.
Firstly, the focus on keeping microservices small increases technical agility. Necessary upgrades as part of maintenance or the adoption of new tools and languages can be done in a careful, piecemeal way, rather than risking the stability of the entire system. Developers can use specialised tools to build each component, and if an issue arises in one area it does not affect the others. What's more, it's much easier to scale a service up or down if certain aspects of the application experience a spike in demand.
Finally, microservices architectures are much more flexible than their monolithic counterparts. Individual services communicate with each other in well defined ways, making it easy to add new functions in line with changes to business aims. This could be creating a whole new service internally or connecting to external partners.
It’s worth noting that a microservices approach often involves increased complexity around deployment and testing, with more analysis needed to correctly identify individual business functions. It’s therefore ideal for larger or longer term enterprise solutions.
The benefits of Microservices
- individual component parts are easier to build, test and maintain
- one service per business function
- services communicate with each other via APIs
- if one service experiences an issue it does not affect others
- scale individual services to meet demand
- modular architecture supports agility
Our recent insights

From planning to people: How the public sector can get AI ready
The government has launched a new Incubator for AI and readiness should be an important consideration to ensure its success.
Read more
Rethinking cybersecurity in the age of generative AI
Generative AI offers efficiency but poses unique cybersecurity risks. Traditional measures fall short; a new paradigm is needed
Read more
Navigating the impact of Generative AI: Strategies for businesses and people
Generative AI is here and people-first strategies are key for businesses to succeed in its implementation
Read more