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Microservices Architecture Explained

December 26, 2025
Interview Tips5 min read
Microservices Architecture Explained

What Is Microservices Architecture?

Microservices architecture is a design approach where a single application is built as a suite of small, independently deployable services, each running in its own process and communicating via lightweight protocols (typically HTTP/REST or gRPC). According to the 2025 CNCF Survey, 78% of organizations now use microservices in production, up from 58% in 2022.

In system design interviews, microservices questions test your ability to decompose a monolith, define service boundaries, and handle distributed system challenges like consistency, discovery, and fault tolerance.

Microservices vs Monolith: When to Use Each

FactorMonolithMicroservices
Team Size1-15 engineers15+ engineers
Deploy SpeedSlower (whole app)Faster (per service)
ComplexityLow initiallyHigher (networking, observability)
ScalingScale entire appScale individual services
Best ForMVPs, startupsLarge-scale production systems

Key Design Patterns for Microservices

  • API Gateway — Single entry point routing to backend services. See API design best practices
  • Service Discovery — Consul, Eureka, or Kubernetes DNS for locating service instances
  • Circuit Breaker — Prevent cascade failures using Hystrix or Resilience4j pattern
  • Saga Pattern — Distributed transactions via choreography or orchestration
  • Event Sourcing — Store state changes as immutable events. Pairs with message queue architecture
  • CQRS — Separate read and write models for different optimization strategies

How to Answer Microservices Interview Questions

When asked "How would you decompose this system into microservices?", follow this structure:

  1. Identify bounded contexts from domain-driven design (DDD)
  2. Define service APIs and data ownership (each service owns its database)
  3. Choose communication: synchronous (REST/gRPC) vs asynchronous (Kafka/RabbitMQ)
  4. Address cross-cutting concerns: auth, logging, tracing (OpenTelemetry)
  5. Discuss deployment: Kubernetes, Docker, CI/CD pipelines

Use AissenceAI's system design AI for real-time prompts during microservices architecture discussions.

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