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Introducing CallTracing(tm), based on RabbitMQ, Spring and Zipkin

A session at SpringOne 2GX 2015

Wednesday 16th September, 2015

12:45pm to 2:15pm (EST)

Data / Integration Track
Slides: http://www.slideshare.net/Spring...
Do you live in a world where StackTraces aren’t quite enough? There is no easy way for you to predict how a certain set of services might be called or what their usage patterns are? Does everything work in DIT/SIT/UAT/PELT until you hit production and strange things start to happen due to distribution of services? Solution: Use RabbitMQ (AMQP protocol) and spring proxies/interceptors to enable an out-of-band instrumentation to trace requests and gain deep knowledge about how certain requests perform in a distributed system. In 2014, as part of infrastructure wide changes, I introduced calltracing(tm) as a way to correlate requests from a single user across E*Trade's heterogeneous systems. This ""trace"" is then consumed by various big-data analytic tools to produce aggregated reports. Zipkin(tm) is a collector, digester and a visualization front-end for the aggregated data. in other words, it’s a distributed tracing system that can show timing data for services that are on various nodes. Zipkin manages both collection and lookup of data through a collector and a query service. In this session, i will discuss specifically how E*Trade’s disparate services are stitched together using RabbitMQ(AMQP protocol) and Spring Proxies to form the enablement tier to provide data to Zipkin.

About the speaker

This person is speaking at this event.
Monish Unni

Architect | Programmer

Next session in Salon M

2:30pm Who needs batch these days? by Gunnar Hillert and Michael T Minella

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When

Time 12:45pm2:15pm EST

Date Wed 16th September 2015

Short URL

lanyrd.com/sdmrtx

Official event site

springone2gx.com

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