Crunching HIPAA data just got cheaper

| | | 0 comments

With the recent AWS announcement, AWS customers can now leverage spot instances to crunch their HIPAA big data workloads.   This can help decrease the compute costs of these jobs by up to 90%, making EC2 a cost effective option for crunching large amounts of data that include Protected Health Information.

Amazon’s BAA with its HIPAA compliant customers requires that all EC2 instances that process PHI must run in dedicated tenancy mode.  Until now, spot instances were not available in dedicated tenancy mode, leaving this cost effective option unavailable for processing PHI.

Spot instance pricing is Amazon’s method of selling excess capacity that can be pre-empted if needed.  Spot pricing is market based, and often falls well below even the steepest discounts afforded with long term commitments.  Since the nodes can be pre-empted, spot instances are not suitable for many types of workloads, but most cluster compute technology is designed to tolerate node losses, making spot instances a great way to save money on short lived tasks that require high compute power.

I took a quick peek in the AWS interface, and didn’t see any option to leverage dedicated spot instances in AWS’ managed Hadoop framework, EMR.  Hopefully we will see that soon!

Related Blogs

Migrating to the Cloud Using Lift and Shift

Migrating to the Cloud Using Lift and Shift

What is Lift and Shift in Cloud Migration? You’ve completed all due diligence, decided which platforms fit your operation, and finally accepted that a move to the cloud is the best way to scale. With that big decision out the way,  the next one comes in the form of a...

Demonstration of Penetration Testing Techniques

Demonstration of Penetration Testing Techniques

Join Foghorn’s diligent, cloud security pro, Dennis Pelton, as he takes us on a super helpful, 6-minute tutorial highlighting techniques he has in his penetration testing toolbox. In this exercise, he looks at two types of attacks- cross-site scripting and SQL...