Microservices-based

Describing a software architectural approach where an application is structured as a collection of loosely coupled, independently deployable services. Each service focuses on a specific business capability and communicates with other services through lightweight mechanisms, typically an HTTP API. This design promotes modularity, scalability, and faster development cycles. A microservices-based system allows independent updates, technology choices, and scaling of individual components, improving resilience and agility compared to monolithic architectures. However, it introduces complexities in areas like inter-service communication, distributed data management, and operational overhead.

Microservices-based meaning with examples

• The company decided to re-architect their legacy application to a microservices-based approach, aiming to improve agility. Each service could be updated and deployed independently without affecting the rest of the system. This architectural shift allowed the development teams to use different technologies for each service, tailored to the specific tasks.
• Our platform is microservices-based; meaning, we have numerous small independent units all communicating with each other. This design grants our clients a high level of scalability and performance because individual sections of the software can be optimized and scaled separately to meet demand.
• Developing a microservices-based solution for the new e-commerce platform allowed for rapid feature deployments. The team could quickly implement new services for payment processing, order management, and product catalog without disrupting existing functionality or needing complete deployments.
• We chose to build our application from the ground up as microservices-based, embracing a distributed system and enabling our DevOps teams to work more efficiently. This architecture facilitated independent testing and reduced the risk of failures impacting the entire application.
• Adopting a microservices-based strategy allowed the team to handle increasing user load easily. The team could add extra server resources to the high demand services such as payment, search and authentication. This architecture supported parallel development, deployment, and easier debugging.