Micro-service Distributed Tracking System (Springboot+zipkin)First, what is Zipkin?Zipkin is an open source distributed tracking system, open-source by Twitter, dedicated to collecting timing data for services to address latency issues in
I. Introduction of ZipkinZipkin is an open source project for Twitter, based on Google Dapper. We can use it to collect trace data from the request link on each server, and through the rest API interface it provides to help us query the tracking
Haven't written a blog for a long time, mainly is a few busy recently, today sneak into an article.======= I'm gorgeous split-line ==========MicroServices architecture is a distributed architecture, micro-service system according to Business
In the article "Distributed Tracking System (i): Zipkin background and design", this paper introduces the design and data model of Zipkin, and introduces the Zipkin span model and other design of "alternative" span model in detail.
Here is a more
Original address: http://www.cnblogs.com/skyblog/p/6213683.htmlAs the number of microservices continues to grow, it is necessary to track the propagation of a request from one microservices to the next, and Spring Cloud sleuth solves this problem by
Zipkin data storage can exist in 4 places:
Memory (for testing only, data is not persisted, Zipkin-server is turned off, data is gone)
This is also the previous use of
Mysql
Probably the most familiar way.
0. Catalogue
Overall architecture directory: ASP. NET core distributed project-Directory
Monitoring directory: Micro-service monitoring Zipkin, skywalking, and log Elk Monitoring series
I. Introduction of Zipkin
Zipkin is a distributed tracking
Why use Zipkin?The previous article mainly wrote: Spring Cloud distributed log link TrackingFrom the previous article can be seen in the call between services, assuming that there are now more than 10 services, then in the search for the log is
In a business complex microservices architecture, it is often difficult to comb the call relationships between services, one HTTP request may involve calls to multiple services (Eg:service A, service B, service C ...), if you want to analyze the
GRPC----http://www.cnblogs.com/ghj1976/p/4587736.html79452948Zipkin with MySQL in Docker-composeHttps://my.oschina.net/u/3020542/blog/1613016[docker Compose Build a Zipkin environment based on MySQL storage]https://github.com/openzipkin?page=2https:/
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