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What are Microservices? - Definition & Meaning

Learn what microservices are, how this architecture pattern works, and when to choose microservices over a monolith. Discover the pros and cons.

Microservices is an architecture pattern where an application is built from small, independent services that each fulfill a specific business function. Each microservice runs as an independent process, communicates via APIs, and can be independently developed, deployed, and scaled.

What is What are Microservices? - Definition & Meaning?

Microservices is an architecture pattern where an application is built from small, independent services that each fulfill a specific business function. Each microservice runs as an independent process, communicates via APIs, and can be independently developed, deployed, and scaled.

How does What are Microservices? - Definition & Meaning work technically?

In a microservices architecture, each service is responsible for one bounded context following Domain-Driven Design principles. Services communicate via synchronous protocols (REST, gRPC) or asynchronous messaging (RabbitMQ, Apache Kafka, NATS). Each has its own database (database-per-service pattern) to ensure loose coupling. API Gateways serve as a central entry point and handle cross-cutting concerns such as authentication, rate limiting, and request routing. Service discovery mechanisms (Consul, Kubernetes DNS) allow services to find each other automatically. The Circuit Breaker pattern prevents cascade failures when a service goes down. Distributed tracing (Jaeger, OpenTelemetry) enables debugging across multiple services. Saga patterns coordinate distributed transactions spanning multiple services. Event sourcing and CQRS (Command Query Responsibility Segregation) are popular patterns for complex domains. Containerization with Docker and orchestration with Kubernetes are the standard deployment strategy for microservices.

How does MG Software apply What are Microservices? - Definition & Meaning in practice?

MG Software applies microservices selectively for projects that genuinely benefit from them. For large SaaS platforms with multiple teams and high scalability requirements, we design microservice architectures with Docker and Kubernetes. Each service has its own CI/CD pipeline and can be deployed independently. For smaller projects, we deliberately choose a modular monolith that can evolve into microservices when scale demands it.

What are some examples of What are Microservices? - Definition & Meaning?

  • A food delivery platform where separate microservices handle user management, restaurant catalog, orders, payments, and delivery logistics, allowing each team to develop and deploy independently.
  • A streaming service running its recommendation engine as a separate microservice, enabling it to scale with machine learning models without impacting the video player or user interface.
  • A banking application keeping its payment service separate from the notification system, ensuring a spike in push notifications does not slow down transaction processing.

Related terms

dockerkubernetesapidevopscloud computing

Further reading

Knowledge BaseWhat is an API? - Definition & MeaningWhat is a REST API? - Definition & MeaningMicroservices Architecture Examples - Inspiration & Best PracticesMonolith vs Microservices: Complete Comparison Guide

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Frequently asked questions

Microservices make sense when your application is large and complex, multiple teams work on it, or parts of the application need to scale independently. Preferably start with a modular monolith and migrate to microservices when complexity and team size warrant it. Premature microservices often lead to unnecessary complexity.
Microservices introduce operational complexity: distributed systems are harder to debug, network communication introduces latency, data consistency across services is complex, and you need more infrastructure and monitoring. The overhead of multiple codebases, CI/CD pipelines, and deployments does not always outweigh the benefits.
Microservices communicate synchronously via REST APIs or gRPC for direct requests, or asynchronously via message brokers like RabbitMQ or Kafka for event-driven communication. Synchronous communication is simpler but creates dependencies. Asynchronous communication provides looser coupling and better resilience but requires more complex architecture patterns.

When should I use microservices?

Microservices make sense when your application is large and complex, multiple teams work on it, or parts of the application need to scale independently. Preferably start with a modular monolith and migrate to microservices when complexity and team size warrant it. Premature microservices often lead to unnecessary complexity.

What are the drawbacks of microservices?

Microservices introduce operational complexity: distributed systems are harder to debug, network communication introduces latency, data consistency across services is complex, and you need more infrastructure and monitoring. The overhead of multiple codebases, CI/CD pipelines, and deployments does not always outweigh the benefits.

How do microservices communicate with each other?

Microservices communicate synchronously via REST APIs or gRPC for direct requests, or asynchronously via message brokers like RabbitMQ or Kafka for event-driven communication. Synchronous communication is simpler but creates dependencies. Asynchronous communication provides looser coupling and better resilience but requires more complex architecture patterns.

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