At the moment we are running our application on an AWS Beanstalk but are trying to determine the suitablilty of Azure.
Our biggest issue is the amount of wasted CPU time we are paying for but not using. We are running on t2.small instances as these have the min amount of RAM we need but we never use even the base amount of CPU time allotted. (20% for a t2.small ) We need lots of CPU power during short bursts of the day and bringing more instances on line in advance of this is the only way we can handle it. AWS Lambda looks a good solution for us but we have dependencies on Windows components like SAPI so we have to run inside of Windows VMs.
Looking at Azure cloud services we thought using a Web role would be best fit for our app but it seems a Web role is nothing more than a Win 2012 VM with IIS enabled. So as the app scales it just brings on more of these VMs which is exactly what we have at the moment. Does Azure have a service similar to Lambda where you just pay for the CPU processing time you use? The reason for our inefficient use of CPU resources is that our speech generation app uses lost of 3rd party voices but can only run single threaded when calling into SAPI because the voice engine is prone to crashing when multithreading. We have no control over this voice engine. It must have access to a system registry and Windows SAPI so the ideal solution is to somehow wrap all dependencies is a package and deploy this onto Azure and then kick off multiple instances of this. What "this" is I have no Idea
Microsoft just announced a new serverless compute service as an alternative to AWS Lambda, called Azure Functions
:
https://azure.microsoft.com/en-us/services/functions/
With Azure Functions you only pay for what you use with compute metered to the nearest 100ms at Per/GB price based on the time your function runs and the memory size of the function space you choose. Function space size can range from 128mb to 1536mb. With the first 400k GB/Sec free.
Azure Function requests are charged per million requests, with the first 1 million requests free.