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更新于 : Nov 07, 2016
不在本期内容中
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。
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Nov 2016
Trial
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。
Development on Zipkin has continued apace, and since the middle of 2015 it has moved to the openzipkin/zipkin organization at GitHub. There are now bindings for Python, Go, Java, Ruby, Scala and C#; and there are Docker images available for those wanting to get started quickly. We still like this tool. There is an active and growing community around usage of it, and implementation is getting easier. If you need a way of measuring the end-to-end latency of many logical requests, Zipkin continues to be a strong choice.
Apr 2016
Trial
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。
Oct 2012
Assess
在了解它将对你的企业产生什么影响的前提下值得探索
When building distributed applications to address web-scale or big data requirements, setting up appropriate monitoring tools becomes a non-trivial exercise. Zipkin is a tool that instruments the different components of a service-based system and visualizes the breakdown of logical requests passing through multiple services using a ‘firebug-like’ view. The raw data can be stored in Hadoop for more advanced reporting and data mining.
发布于 : Oct 22, 2012
