Comprehensive Guide to Microservice Architecture, Spring Cloud, Dubbo, and Related Backend Practices

Microservice architecture is an approach to building distributed systems by decentralizing services, where each microservice handles a specific business capability.

Key concepts covered include RPC mechanisms (Dubbo, RMI, Hessian), serialization formats (JSON, Protobuf, Hessian), and consistency models such as ACID, CAP theorem, and BASE.

Distributed transaction solutions such as TCC (Try‑Confirm‑Cancel) and compensation mechanisms are explained with example workflows.

Service monitoring techniques using Spring Cloud Sleuth, Zipkin, and the ELK stack are described, along with high‑availability strategies like multiple instances, health checks, and auto‑scaling.

Load balancing is discussed for both server‑side (Nginx, LVS) and client‑side (Ribbon, Dubbo clustering strategies like Failover, Failfast, Failsafe, Failback, Forking, Broadcast).

Service registration and discovery using Zookeeper/Eureka are detailed, showing how providers register and consumers discover services.

Dubbo configuration examples illustrate how to define services and references in XML, including retry settings and cluster types, e.g., <dubbo:service retries="2" /> and <dubbo:reference retries="2" /> .

Spring Boot versus Spring MVC differences, core annotations such as @Autowired , @Qualifier , @Controller , @RequestMapping , AOP concepts, JdbcTemplate and RestTemplate usage, and transaction management options (programmatic and declarative) are summarized.

Spring Boot’s auto‑configuration mechanism is explained, highlighting @SpringBootApplication , @EnableAutoConfiguration , and the META-INF/spring.factories file that loads numerous starter modules for databases, messaging, security, web, and more.