Category: Micro-services – DP

Micro-services – DP

INdex

Design patterns

  1. Decentralized Data Management:
    • Implementation:
      1. Each microservice manages its own data and database independently.
      2. Avoids a shared database to prevent tight coupling between services.
    • Java Libraries:
      1. No specific library is tied to this pattern, as it’s more of an architectural principle.
      2. The choice of databases is left to individual microservices. For example, microservices might use Spring Data JPA for database interactions.
  2. Event-Driven Architecture:
    • Implementation:
      1. Microservices communicate asynchronously through events.
      2. Events represent state changes and are used for inter-service communication.
    • Java Libraries:
      1. Apache Kafka: A distributed event streaming platform.
      2. Spring Cloud Stream: Simplifies event-driven microservices development using Spring Boot and Apache Kafka.
      3. Service Discovery:
  • Implementation:
    • Microservices dynamically discover and communicate with each other.
    • Service registry and discovery mechanisms facilitate this dynamic communication.
  • Java Libraries:
    • Netflix Eureka: A service registry for locating services in the cloud.
    • Consul: A tool for service discovery and configuration.

4. API Gateway:

  • Implementation:
    • An entry point that consolidates and manages requests to various microservices.
    • Handles authentication, load balancing, and routing.
  • Java Libraries:
    • Spring Cloud Gateway: A dynamic routing and API gateway powered by Spring WebFlux.
    • Netflix Zuul: A dynamic router and filter for edge services.

5. Circuit Breaker Pattern:

  • Implementation:
    • Protects microservices from failures in dependent services.
    • Opens the circuit if a service is not responsive, preventing cascading failures.
  • Java Libraries:
    • Netflix Hystrix: A library for adding circuit breakers to your services.
    • Resilience4j: A lightweight fault tolerance library.

6. Retry Pattern:

  • Implementation:
    • Retries failed operations to enhance system reliability.
    • Helps in dealing with transient errors.
  • Java Libraries:
    • Spring Retry: A Spring Framework project for retrying failed operations.

7. Saga Pattern:

  • Implementation:
    • Manages long-lived transactions across multiple microservices.
    • Breaks down a transaction into a sequence of smaller, more manageable steps.
    • Handles compensating transactions in case of failures.
  • Java Libraries:
    • No specific library is tied directly to the Saga Pattern, but frameworks like Axon or Eventuate provide support for implementing sagas in Java-based microservices.