Hi, I am developping an application using App Engine to collect, store and deliver data to users. During my tests, I have 4 data sources which send HTTP POST requests to the server every 5s (all requests are exactly uniform). The server stores received data to the datastore using Objectify.
At the beginning, all requests are manage by 1 instance (class F1) with 0.8 QPS, a latency of 80ms and 80MB of memory. But during the following hours, the used memory increases and goes over the limit of F1 Instance. However, the scheduler doesn't start another instance. When I stop all traffic, average memory never decreases. Now I have 150MB memory instead of 128MB (limit of F1 class) and I stopped all the traffic. I use Memcache and datastore, don't have any cron or task queues and the traffic is always the same. What are the possible reasons the average memory increase? Is it a bug of the admin console? Which points define the quantity of memory used per request? Another question: Does Google have special discount for datastore read/write ( >30 million ops / day ) ? Thank you, Joël -- You received this message because you are subscribed to the Google Groups "Google App Engine" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/google-appengine. For more options, visit https://groups.google.com/groups/opt_out.
