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Atualizado em : Nov 30, 2017
N?O ENTROU NA EDI??O ATUAL
Este blip n?o est¨¢ na edi??o atual do Radar. Se esteve em uma das ¨²ltimas edi??es, ¨¦ prov¨¢vel que ainda seja relevante. Se o blip for mais antigo, pode n?o ser mais relevante e nossa avalia??o pode ser diferente hoje. Infelizmente, n?o conseguimos revisar continuamente todos os blips de edi??es anteriores do Radar. Saiba mais
Nov 2017
Experimente ?

continues to evolve and add interesting new features. Support for binding to Kafka Streams, for example, in the spring-cloud-streams project makes it relatively easy to build message driven applications with connectors for Kafka and RabbitMQ. The teams we have using it appreciate the simplicity it brings to using sometimes complex infrastructure, such as , and support for common problems that we need to address when building distributed systems, tracing with the for example. The usual caveats apply but we're successfully using it on multiple projects.

Mar 2017
Avalie ?

Teams building systems composed of microservices need to think about coordination techniques such as service discovery, load balancing, circuit breaking and health checking. Many of these techniques require teams to set up tooling, which is not always trivial. The project provides tools for developers so they can use these coordination techniques in the familiar Spring environment. These tools support Consul, and the Netflix OSS full stack, all tools that we like. Simply put, it makes it easy to do the right thing with these tool sets. Although our usual concerns with Spring still stand, namely that it hides too much of the complexity, you should consider Spring Cloud if you are in the ecosystem and need to solve these problems.

Publicado : Mar 29, 2017

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