GAE dashboard shows stats for different URIs of your app. It includes Req/Min, Requests, Runtime MCycles, and Avg Latency. The help provided seems to be outdated, here what it states:
The current load table provides two data points for CPU usage, "Avg CPU (API)" and "% CPU". The "Avg CPU (API)" displays the average amount of CPU a request to that URI has consumed over the past hour, measured in megacycles. The "% CPU" column shows the percentage of CPU that URI has consumed since midnight PST with respect to the other URIs in your application.
So I assume Runtime MCycles is what the help calls Avg CPU (API)? How do I map this number to the request stats in the logs? For example one of the requests has this kind of logs:
ms=583 cpu_ms=519 api_cpu_ms=402.Do I understand correctly that ms includes
cpu_msandcpu_msincludesapi_cpu_ms?So then
cpu_msis the Runtime MCycles which is shown as average for the given URI on dashboard?I have a F1 instance with 600Mhz and concurrency enabled for my app. Does it mean this instance throughput it 600 MCycles per second? So if average request takes 100 Mcycles, it should handle 5-6 request on average?
I am digging into this to try to predict the costs for my app under load.