Worker role scale up and down manually

Question

I have specific task that need to be done on random time (i cannot predict when). one task can take more than 5 min.
To be "cloud" compatible and "elasctic" ready, i don't want to have only 1 instance of this worker role but more dynamically when needed.
I ve created a "queue" with all the task that need to be done, because it was the solution i thoguth with the auto scalling of azure
But when i try to put it in place, my problem are the following :
1)with the auto scalling of worker role, it seems it doesn't start to evaluate directly and wait maybe 20 min before scale up the first time. it's not fully ok for me and i would like to have scaling directly.
2) one instance cannot be killed like this. The task can take more than 5 min ! (maybe 10 or 15). And in this case it's a big issue for me if one instance is randomly dropped. And i cannot can "put" somewhere the current data of the task to be proceeded
by someone else
My idea is that my instance "0" create other instance if it see that the number of task on the queue is big
AND, it's the instance created (so not the 0!) that kill itself when he has finished and see there is nothing else to do
Is it possible ? I don't find documentation about that.

Answer 1

Hi,
If you use auto scaling add a worker role, it spend 20 min before scale up the first time, this 20 min may be used to build azure worker role instance. so we need a metrics to let worker role prepared in advance, for example, in the case of Cloud services,
if CPU exceeds a defined threshold in your rule, auto scaling will add additional instances to handle the increased load.  When CPU drops below a defined threshold, auto scaling will remove those extra instances.  It’s this kind of elasticity that
makes cloud computing so compelling.
 See more at:http://rickrainey.com/2013/12/15/auto-scaling-cloud-services-on-cpu-percentage-with-the-windows-azure-monitoring-services-management-library/
Best Regards
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