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Resilience and Reactive

The Reactive Manifesto[1] lists resilience as an essential property of a Reactive application. Resilience can be implemented in an application by processing calls asynchronously. Each part of an application which processes messages (actor) has to be monitored. When an actor does not react anymore, it can be restarted. This enables errors to be handled and makes applications more resilient.

Hystrix

Hystrix[2] implements Timeout and Circuit Breaker. To achieve this, developers have to encapsulate calls in commands. Alternatively, Java annotations can be used. The calls take place in individual thread pools, and several thread pools can be created. If there is one thread pool per called microservice, the calls to the microservices can be separated from each other in such a manner that a problem with one microservice does not affect the use of the other microservices. This is in line with the Bulkhead concept. Hystrix is a Java library that is made available under the Apache license and originates from the Netflix stack. The example application uses Hystrix together with Spring Cloud (see section 13.10). In combination with a sidecar, Hystrix can also be used for applications that are not written in Java (see section 7.9). Hystrix supplies information about the state of the thread pools and the Circuit Breaker for monitoring and operational purposes. This information can be displayed in a special monitoring tool—the Hystrix dashboard. Internally, Hystrix uses the Reactive Extensions for Java (RxJava). Hystrix is the most widely used library in the area of resilience.

Try and Experiment

  • • This chapter introduced eight patterns for stability. Prioritize these patterns. Which properties are indispensable? Which are important? Which are unimportant?
  • • How can it be verified that the microservices actually implement the patterns?

  • [1] http://www.reactivemanifesto.org/
  • [2] https://github.com/Netflix/Hystrix/
 
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