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Last updated : Nov 30, 2017
这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
Nov 2017
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。

Spring Cloud 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 ZooKeeper, and support for common problems that we need to address when building distributed systems, tracing with the spring-cloud-sleuth for example. The usual caveats apply but we're successfully using it on multiple projects.

Mar 2017
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

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 Spring Cloud project provides tools for developers so they can use these coordination techniques in the familiar Spring environment. These tools support Consul, ZooKeeper 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.

已发布 : Mar 29, 2017


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