Here are logs from three consecutive task executions over the past weekend, 
with only identifying information removed. You'll see that each task 
completes in a few milliseconds, but are 20 seconds apart (remember: I've 
already checked my queue configurations, nothing else is running on this 
backend, and I later solved the problem by setting countdown=1 when adding 
the task).  I don't see any pending latency mentioned.

0.1.0.2 - - [27/Jan/2012:18:33:20 -0800] 200 124 ms=10 cpu_ms=47 
api_cpu_ms=0 cpm_usd=0.000060 queue_name=overnight-tasks 
task_name=15804554889304913211 instance=0
0.1.0.2 - - [27/Jan/2012:18:33:00 -0800] 200 124 ms=11 cpu_ms=0 
api_cpu_ms=0 cpm_usd=0.000060 queue_name=overnight-tasks 
task_name=15804554889304912461 instance=0
0.1.0.2 - - [27/Jan/2012:18:32:41 -0800] 200 124 ms=26 cpu_ms=0 
api_cpu_ms=0 cpm_usd=0.000060 queue_name=overnight-tasks 
task_name=4499136807998063691 instance=0


The 20 seconds seems to happen regardless of length of task. Even though my 
tasks mostly complete in a couple minutes, I do have cases where they take 
several minutes, and I don't see a difference. Of course, when a task takes 
5-10 minutes to complete, I'm going to notice and care about a 20-second 
delay much less than when I'm trying to spin through a few tasks in a 
minute (which is a real-world need for me as well).

When reading up on pull queues a while back, I was a little confused about 
where I would use them with my own backends. I definitely could see an 
application for offloading work to an AWS Linux instance. But in either 
case, could you explain why it might help?

I saw you mention in a separate thread how M/S can perform differently from 
HRD even in cases where one wouldn't expect to see a difference. When I get 
around to it I'm going to create a tiny HRD app and run the same tests 
through that.

I also wonder if M/S could be responsible for frequent latencies in my 
admin console. Those have gotten more frequent and annoying the past couple 
of months ...

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