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Microservices Architecture Guide | Service Decomposition & Distributed Systems

Microservices architecture offers a flexible approach to building scalable distributed systems by breaking down applications into independently deployable services.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

Microservices Architecture

Building Scalable Distributed Systems

Understanding Microservices Architecture

Microservices Best Practices

Data Management Patterns

Microservices data: database per service (no shared databases), saga pattern (distributed transactions), event sourcing

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Implement distributed tracing

Use service mesh for complex architectures

Plan for data consistency

Frequently asked questions

What communication methods are commonly used in microservices?

Microservices communicate via synchronous protocols like HTTP/REST or gRPC for request-response, and asynchronous messaging through queues, event streaming, or message brokers.

How should data be managed within a microservices architecture?

A best practice is to use a database per service – avoiding shared databases. The Saga pattern can also be used to manage distributed transactions, and event sourcing provides an audit trail of changes.

What role do service meshes play in complex microservice architectures?

Service meshes like Istio or Linkerd are beneficial for managing complex microservices architectures by handling cross-cutting concerns such as security, observability, and traffic management.

When should synchronous versus asynchronous communication be used?

Synchronous protocols (like HTTP/REST) are suitable for simple interactions, while asynchronous messaging is preferred for decoupling services and achieving scalability.

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