What are Microservices? - Definition & Meaning
Microservices is an architectural style where an application is built from small, independent services. Learn how microservices work.
Definition
Microservices is an architectural style where an application is built from a collection of small, independently deployable services. Each service is responsible for a specific business domain, communicates via defined APIs, and can be developed, tested, and deployed independently.
Technical Explanation
Microservices communicate via lightweight protocols such as REST, gRPC, or message queues (RabbitMQ, Kafka). Each service has its own database (database-per-service pattern) to ensure loose coupling. Service discovery, load balancing, and circuit breakers (e.g., via Istio or Envoy) manage inter-service communication. Containerization with Docker and orchestration with Kubernetes are the de facto standards for deploying microservices. Complexity shifts from application code to infrastructure, making observability (logging, tracing, monitoring) essential.
How Refront Uses This
Refront uses a microservices architecture to guarantee scalability and reliability. Separate services handle ticket management, time tracking, invoicing, and AI processing. This allows us to independently scale and update individual components without affecting the entire platform.
Examples
- •The invoicing service runs independently and can be scaled under heavy load without affecting other services.
- •A team develops and deploys the notification microservice independently from the rest of the platform.
- •When the reporting service goes down, all other platform functions continue to work normally thanks to the microservices architecture.
Related Terms
Frequently Asked Questions
What is the difference between microservices and a monolith?
A monolith is one large application where all functionality lives in a single codebase. Microservices split the application into small, independent services. Microservices offer better scalability and independent deployments but add complexity to the infrastructure.
When are microservices the right choice?
Microservices are suitable for large, complex applications with multiple teams that need to work independently. For small teams or simple applications, a monolith is often more efficient due to lower operational complexity.
What challenges do microservices bring?
The main challenges are distributed debugging, data consistency across services, network latency, service discovery, and the operational complexity of managing many services. Good observability tooling is essential.
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