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AWS case studies prove enterprise cloud readiness

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Bench one instance type for another to reduce your AWS bill

Source:  iStock and Twitter
Designer: Linda Koury

Running workloads in Amazon Web Services can save companies management time and money. But operating workloads in the wrong AWS Elastic Compute Cloud instance type can needlessly chip away at the cloud budget and degrade performance. The Boston Celtics learned this lesson all too well.

The Celtics franchise uses a combination of AWS and Microsoft Azure, as well as VMware on premises, for a range of applications -- from ticketing to basketball statistical analysis. Each night, basketball stats are fed to SQL databases hosted in AWS. The players see those stats before each game.

And while that involves a lot of data and number crunching, it only runs for short periods of time each day. The Celtics' IT team was running nearly all the infrastructure on M1 instances -- without re-evaluating as AWS introduced new instance types.

Using a native AWS tool, one solutions architect working with the Celtics' IT group identified that switching to a different AWS instance type could improve performance for those infrequently run workloads -- and cut their AWS bill by about $1,000 a month.

Read the full story to find out how the Celtics saved money on their AWS bill.

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What tools do you use to reduce your AWS bill?
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Cloudability is a great cost-management tool, delivered as a SaaS platform. 
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We use SOASTA for much of our load/performance testing needs, so we rely heavily on it’s ability to spin up/down monitors and load generators as needed so that we don’t forget them and leave them running when the tests are done.
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It’s not just a one-time analyze and be done with it either. There are many variables in play that you need to be aware of, and use them to reassess your needs on a regular basis, such as spot instance pricing trends.
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