J
java-microservices
About java-microservices
A skill for designing and building Java microservices with Spring Cloud and distributed-system patterns. It is intended for developers working on service communication, resilience, messaging, and observability, with implementation topics and troubleshooting guidance.
Key features
- 01Spring Cloud service discovery and gateways
- 02Resilience patterns with Resilience4j
- 03Kafka and event-driven architecture
- 04Distributed tracing, metrics, and log correlation
- 05Troubleshooting and implementation examples
Use cases
- 01Designing a Spring Cloud microservices architecture
- 02Adding circuit breakers and retries to services
- 03Building event-driven flows with Kafka
- 04Investigating service failures and tracing requests
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ pluginagentmarketplace/ custom-plugin-java --skill java-microservicesAfter installing, type/java-microservicesin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
assets/config.yamlmicroservices-checklist.yamlschema.jsonreferences/GUIDE.mdPATTERNS.mdscripts/validate.pyDetails
From the project READMEJava Microservices Skill
Build production microservices with Spring Cloud and distributed system patterns.
Overview
This skill covers microservices architecture with Spring Cloud including service discovery, API gateway, circuit breakers, event-driven communication, and distributed tracing.
When to Use This Skill
Use when you need to:
- Design microservices architecture
- Implement service-to-service communication
- Configure resilience patterns
- Set up event-driven messaging
- Add distributed tracing
Topics Covered
Spring Cloud Components
- Config Server (centralized config)
- Service Discovery (Eureka, Consul)
- API Gateway (Spring Cloud Gateway)
- Load Balancing (Spring Cloud LoadBalancer)
Resilience Patterns
- Circuit Breaker (Resilience4j)
- Retry with backoff
- Bulkhead isolation
- Rate limiting
Event-Driven Architecture
- Apache Kafka integration
- Spring Cloud Stream
- Saga pattern
- Event sourcing basics
Observability
- Distributed tracing (Micrometer)
- Metrics (Prometheus)
- Log correlation
Quick Reference
// Saga with Choreography
@Component
public class OrderSagaListener {
@KafkaListener(topics = "order.created")
public void handleOrderCreated(OrderCreatedEvent event) {
inventoryService.reserve(event.getItems());
}
@KafkaListener(topics = "payment.failed")
public void handlePaymentFailed(PaymentFailedEvent event) {
// Compensating transaction
inventoryService.release(event.getOrderId());
orderService.cancel(event.getOrderId());
}
}
// Circuit Breaker Configuration
@Configuration
public class ResilienceConfig {
@Bean
public Customizer<Resilience4JCircuitBreakerFactory> cbCustomizer() {
return factory -> factory.configureDefault(id ->
new Resilience4JConfigBuilder(id)
.circuitBreakerConfig(CircuitBreakerConfig.custom()
.failureRateThreshold(50)
.waitDurationInOpenState(Duration.ofSeconds(30))
.slidingWindowSize(10)
.build())
.build());
}
}
// API Gateway Routes
@Configuration
public class GatewayConfig {
@Bean
public RouteLocator routes(RouteLocatorBuilder builder) {
return builder.routes()
.route("orders", r -> r
.path("/api/orders/**")
.filters(f -> f
.stripPrefix(1)
.circuitBreaker(c -> c.setName("order-cb"))
.retry(retry -> retry.setRetries(3)))
.uri("lb://order-service"))
.build();
}
}
Observability Configuration
management:
tracing:
sampling:
probability: 1.0
endpoints:
web:
exposure:
include: health,info,metrics,prometheus
logging:
pattern:
level: "%5p [${spring.application.name:},%X{traceId:-},%X{spanId:-}]"
Common Patterns
Saga Pattern
Order → Inventory → Payment → (Success | Compensate)
Circuit Breaker States
CLOSED → (failures exceed threshold) → OPEN
OPEN → (wait duration) → HALF_OPEN
HALF_OPEN → (success) → CLOSED
HALF_OPEN → (failure) → OPEN
Troubleshooting
Common Issues
| Problem | Cause | Solution |
|---|---|---|
| Cascade failure | No circuit breaker | Add Resilience4j |
| Message lost | No ack | Enable manual ack |
| Inconsistent data | No compensation | Implement saga |
| Service not found | Discovery delay | Tune heartbeat |
Debug Checklist
□ Trace request (traceId)
□ Check circuit breaker state
□ Verify Kafka consumer lag
□ Review gateway routes
□ Monitor retry counts
Usage
Skill("java-microservices")
Related Skills
java-spring-boot- Spring Cloudjava-docker- Containerization
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