As with many industries, the pharmaceutical sector is trending towards cloud bursting, so if you need more digital space, more compute power, or more storage, don’t pay for an onsite solution—look to the cloud! And cloud bursting plays to the increasingly popular subscription-based “pay per use” business model with which we are becoming increasingly familiar.
It’s been well documented that Bright can help you easily create new clusters in the cloud, or add cloud-based resources to your existing clusters on the fly.
How does Bright cloud burst?
Well, Bright offers two cloud bursting scenarios:
Our cloud bursting solutions are proving to be very popular in the OpenStack and HPC space.
What about Hadoop?
Something that hasn’t yet been so well documented, as it’s fairly new, is that a growing number of my pharmaceutical customers are asking for the ability to spin up Hadoop instances in the cloud—to access and analyse big data—for a limited period of time.
Spinning Hadoop in the cloud makes most sense if data already is in the cloud, or if the use case allows for data to be in the cloud. In situations like this, Bright spins up a Hadoop cluster in the cloud, giving you virtual access to extra compute power for the duration of the analysis project.
Think of it, if you will, as Hadoop-as-a-Service.
When would you use this?
Pharmaceutical companies are looking to Bright to help them manipulate large quantities of data, for ad hoc big data analysis projects. For example, once a month, you might want to analyse large data sets for product development. Or, you may wish to carry out quarterly analysis on patient outcomes.
Once the analysis project is complete, the cloud instance of Hadoop is quickly powered off, and the number of hours or days that the additional compute power was required for is paid for “as a service”. You are not required to purchase any additional hardware, and you don’t have to worry about storing the data yourself (for example purchasing and maintaining the storage equipment, keeping back-ups, etc.)
The beauty of this solution from Bright is that we are the enabling technology; there is no need to enlist the help of a third party, or pay a cloud service provider to build this service to you. And there is no vendor lock-in. Bright gives you the tools you need to easily spin Hadoop up yourself, and rent the additional cloud resources directly. This gives you the freedom to choose which Hadoop distribution you wish to run. If you opt for a Hadoop service from your cloud provider, the Hadoop distribution and version will be chosen for you.
And it’s all managed from the same Bright user interface that you use to manage your day-to-day HPC, OpenStack, and Hadoop infrastructure, giving you a single pane-of-glass view of your entire operation.
In addition, you now are empowered to use the cloud as a data backup and storage, in case future analysis is required. For example, increasingly raw data logs go directly to Amazon to be stored, and stay there for all time. If data analysis only needs to be carried out on an ad hoc basis, there is no need to pay for a Hadoop cluster 365 days a year. With Bright, you can deploy a cloud instance of Hadoop, draw the data from the cloud store, carry out the analysis, power off the Hadoop cluster, and repeat as required.
Who can benefit from this?
Hadoop-as-a-Service will resonate with:
Watch out for pitfalls!
You may have heard that other vendors are starting to bundle solutions for this trend. Here are some potential pit falls to avoid:
How does Bright bring value?
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