nd but our 9000
queries/second to seem push it too much. The longer term solution for
us would probably be to do less connections (by doing less Django
requests for a page) and less queries, before our deadline we were
just searching for a short term solution to handle an expected traffic
spike.
As I increase concurrency I'm experiencing what I believe are too slow
queries given the minuscule amount of data in my tables.
I have 20 Django worker processes and use ab to generate 3000 requests
to a particular URL which is doing some read only queries. I ran this
with ab concurrency level set
