Last updated : Nov 07, 2016
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.
Understand more
Nov 2016
Trial
Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.
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
Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.
Oct 2012
Assess
Worth exploring with the goal of understanding how it will affect your enterprise.
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.
Published : Oct 22, 2012
