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
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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