Microservices.io is brought to you by Chris Richardson. Experienced software architect, author of POJOs in Action and the creator of the original CloudFoundry.com. His latest startup is eventuate.io, a microservices application platform.
Chris offers a comprehensive consulting services, workshops and hands on training classes to help you use microservices effectively.
Avoid the pitfalls of adopting microservices and learn essential topics, such as service decomposition and design and Kubernetes. Find out more
Chris offers a comprehensive set of resources for learning about microservices including articles, an O'Reilly training video, and example code.
Learn moreWant to see an example? Check out Chris Richardson's example applications. See code
Join the microservices google group
You have applied the Microservice architecture. Services sometimes collaborate when handling requests. When one service synchronously invokes another there is always the possibility that the other service is unavailable or is exhibiting such high latency it is essentially unusable. Precious resources such as threads might be consumed in the caller while waiting for the other service to respond. This might lead to resource exhaustion, which would make the calling service unable to handle other requests. The failure of one service can potentially cascade to other services throughout the application.
How to prevent a network or service failure from cascading to other services?
A service client should invoke a remote service via a proxy that functions in a similar fashion to an electrical circuit breaker. When the number of consecutive failures crosses a threshold, the circuit breaker trips, and for the duration of a timeout period all attempts to invoke the remote service will fail immediately. After the timeout expires the circuit breaker allows a limited number of test requests to pass through. If those requests succeed the circuit breaker resumes normal operation. Otherwise, if there is a failure the timeout period begins again.
RegistrationServiceProxy from the Microservices Example application is an example of a component, which is written in Scala, that uses a circuit breaker to handle failures when invoking a remote service.
@Component
class RegistrationServiceProxy @Autowired()(restTemplate: RestTemplate) extends RegistrationService {
@Value("${user_registration_url}")
var userRegistrationUrl: String = _
@HystrixCommand(commandProperties=Array(new HystrixProperty(name="execution.isolation.thread.timeoutInMilliseconds", value="800")))
override def registerUser(emailAddress: String, password: String): Either[RegistrationError, String] = {
try {
val response = restTemplate.postForEntity(userRegistrationUrl,
RegistrationBackendRequest(emailAddress, password),
classOf[RegistrationBackendResponse])
response.getStatusCode match {
case HttpStatus.OK =>
Right(response.getBody.id)
}
} catch {
case e: HttpClientErrorException if e.getStatusCode == HttpStatus.CONFLICT =>
Left(DuplicateRegistrationError)
}
}
}
The @HystrixCommand arranges for calls to registerUser() to be executed using a circuit breaker.
The circuit breaker functionality is enabled using the @EnableCircuitBreaker annotation on the UserRegistrationConfiguration class.
@EnableCircuitBreaker
class UserRegistrationConfiguration {
This pattern has the following benefits:
This pattern has the following issues:
Application architecture patterns
Decomposition
Deployment patterns
Cross cutting concerns
Communication style
External API
Transactional messaging
Service discovery
Reliability
Data management
Security
Testing
Observability
UI patterns