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Bottleneck analysis - Devopsdays Silicon Valley 2013
 

Bottleneck analysis - Devopsdays Silicon Valley 2013

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Lightning talk about the problems of efficiently feeding drinks to conference attendees

Lightning talk about the problems of efficiently feeding drinks to conference attendees

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    Bottleneck analysis - Devopsdays Silicon Valley 2013 Bottleneck analysis - Devopsdays Silicon Valley 2013 Presentation Transcript

    • Bottle delivery dataInterval Response Time Throughput10 3.1 2220 1.2 4130 7.9 32… … …
    • Grab some data (using R)beer <-read.csv(url("http://staash.com/beer_operations.csv"))response <- beer[,2]plot(response, type="S",ylab=”response”)
    • Bottle delivery response over time
    • Analysis> summary(response)Min. 1st Qu. Median Mean 3rd Qu. Max.1.909 2.550 2.820 3.086 3.214 67.680> quantile(response,c(0.95,0.99))95% 99%4.149556 6.922115> sd(response)1.941328> mean(response) + 2 * sd(response)6.968416
    • chp(throughput,response,q=1.0)(See http://perfcap.blogspot.com/search?q=chp)
    • Scalability plots generated using appdynamics.com
    • Well behaved Lock ContentionOscillating, thread shortageLooping autoscaledBottlenecks
    • http://perfcap.blogspot.com/search?q=chp@adrianco