You manage a cloud service that hosts a customer-facing application. The application allows users to upload
images and create collages. The cloud service is running in two medium instances and utilizes Azure Queue
storage for image processing. The storage account is configured to be locally redundant.
The sales department plans to send a newsletter to potential clients. As a result, you expect a significant
increase in global traffic.
You need to recommend a solution that meets the following requirements:
Configure the cloud service to ensure the application is responsive to the traffic increase.
Minimize hosting and administration costs.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
A.
Configure the cloud service to run in two Large instances.
B.
Configure the cloud service to auto-scale to three instances when processor utilization is above 80%.
C.
Configure the storage account to be geo-redundant
D.
Deploy a new cloud service in a separate data center. Use Azure Traffic Manager to load balance traffic
between the cloud services.
E.
Configure the cloud service to auto-scale when the queue exceeds 1000 entries per machine.
Explanation:
An autoscaling solution reduces the amount of manual work involved in dynamically scaling an application. It
can do this in two different ways: either preemptively by setting constraints on the number of role instances
based on a timetable, or reactively by adjusting the number of role instances in response to some counter(s) or
measurement(s) that you can collect from your application or from the Azure environment.
http://azure.microsoft.com/en-us/documentation/articles/cloud-services-how-to-scale/#autoscale