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posted Jul 24, 2019, 10:37 AM by Danny Xu
A few general and Texas-specific points:

- You can buy different levels of support with different SLAs. Without paid support you are on your own.
- In terms of purchasing and billing aggregation, there are several companies that will do that for you. You might check with your local AWS rep (probably Sylvia Herrera-Alaniz.) 
- Texas DIS MAY have a master purchasing agreement with AWS, which would be one approach to get UTSA Purchasing to make it easier for you to purchase AWS services.
- If you have good centralization of purchasing for AWS, I2 and AWS academic egress waiver programs will be relevant. If everyone uses their own or departmental purchase cards then aggregation of usage is nearly impossible and therefore no way to apply a waiver.

We took a dive into AWS 12-18 months ago primarily for storage with a few researchers and library electronic archives.  Tech support and our account rep have been responsive to our needs.  We utilize the Texas DIR agreement and the egress waivers.  We get one invoice with all the departments listed and their associated costs making it easy monitor usage and chargeback. 


At Oregon State we have done the same.

We contract direct with AWS, not through a reseller, but get the same
egress waiver.

We utilize the AWS structure of "Orgs" (Organizations) to roll up all
costs from our individual AWS accounts in to a single payer account. We
then distribute charges to each of the Oregon State Univ fund indexes on a
monthly basis.

We front-end the AWS console with our SSO to not require separate
username/passwords for AWS console access.

We do not add in a tax to manage this service for researchers which has
helped make it a popular option.


Use ScaleX and AWS for all of their HPC needs: to give me access to resources that were identical to theirs without letting me in their private network. They would create different instances for each HPC software instead of fiddling with modules etc. It was very convenient and easy to use for non-HPC experts


On spot pricing: from (our former HPC director) Amy Apon
Seems to make sense for large embarrassingly parallel problems.

For regular cloud pricing, there was a paper at Henry's ACIREF session last year .  You could change the assumptions- power,space, staffing, etc., but the conclusion is roughly that cloud makes economic sense for centers with O(50) nodes and down, and does not at O(350) nodes and up.  
Cloud vs On-Premise: Explaining Pros & Cons Jason Wells, MDY Senior Research Computing Consultant. Bentley University. Waltham, Massachusetts
We find our (heavily utilized) core-hour cost is a lot cheaper than regular Amazon prices.