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PONginx scaling and bottleneck identification on an EC2 cluster
 

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  1. PONginx scaling and bottleneck identification on an EC2 cluster
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    <p>I am developing a big application and i have to load test it. It is a EC2 based cluster with one HighCPU Ex.Large instance for application which runs PHP / NGinx.</p> <p>This applicaton is responsible for reading data from a redis server which holds some 5k - 10k key values, it then makes the response and logs the data into a mongoDB server and replies back to client.</p> <p>Whenever i send a request to the app server, it does all its computations in about 20 - 25 ms which is awesome.</p> <p>I am now trying to do some load testing and i run a php based app on my laptop to send requests to server. Many thousands of them quickly over 20 - 30 seconds. During this load period, whenever i open the app URL in the browser, it replies back with the execution time of around 25 - 35 ms which is again cool. So i am sure that redis and mongo are not causing bottlenecks. But it is taking about 25 seconds to get the response back during load.</p> <p>The high CPU ex. large instance has 8 GB RAM and 8 cores. </p> <p>Also, during the load test, the top command shows about 4 - 6 php_cgi processes consuming some 15 - 20% of CPU. </p> <p>I have 50 worker processes on nginx and 1024 worker connections.</p> <p>What could be the issue causing the bottleneck ?</p> <p>IF this doesnt work out, i am seriously considering moving out to a whole java application with an embedded webserver and an embedded cache.</p> <p>UPDATE - increased PHP_FCGI_CHILDREN to 8 and it halfed the response time during load</p>
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