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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

A later version of the slides is included in my Microservices Workshop deck from later that year, slides 168–200 ( pdf , keynote are available in GitHub.com/adrianco/slides ). What Is the Expected Distribution of Website Response Times? . > > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5,

Lambda 98
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Examining the AWS Serverless Application Repository

The Symphonia

The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. There are a plethora of deployment tools now available, from the original community-produced Serverless Framework , through to Amazon’s own Serverless Application Model (SAM).