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Designing for on-demand capacity: cloudbursting
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In the last section, we focused on the database issues that most inhibit scale. They can hopelessly throttle a cloud application that suddenly starts to see a dramatic spike in popularity and growth. Before you anticipate the kind of scale that warrants refactoring for sharding, you may have an application that runs in your data center that can or already does get to the point where it needs more capacity. You could buy more servers and keep them unused and on standby for when this situation occurs. Or you could keep only the capacity your application needs most of the time and, when it needs more, expand not within your own data center but out to the cloud. Think of it like having unexpected houseguests and not enough beds; you don t buy a bigger house with more bedrooms, you put up the overflow in a nearby hotel.
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Designing and architecting for cloud scale
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Another scenario where a data center application may need additional capacity is when a portion of your application involves highly sensitive data, and you want to process it only inside your data center. The rest of the application, which also presumably needs additional capacity you can t provide in the data center, runs in the cloud. You can handle both these capacity-related issues by careful design using a technique called cloudbursting.
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Cloudbursting defined
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What is cloudbursting Let s define it more precisely. In earlier chapters, you read that the public cloud is a single application running on an elastic infrastructure that a third-party service provider buys and maintains. It s shared by many users simultaneously, all paid for on a pay-as-you-go basis. In chapter 4, we covered private clouds, where the third-party service provider attribute is dropped. Now, with cloudbursting, let s modify the single-application context as well and talk about applications that partially run in a local data center and partially in a public or private cloud.
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CLOUDBURSTING In 2009, the National Institute of Standards and Technology
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(NIST) published its formal definition of cloud computing, which included the concept of cloudbursting as cloud infrastructure that is a composition of two or more clouds (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability. The bursting concept has been applied in IT before but normally to resource allocation and automated provisioning/deprovisioning of bandwidth. Today, in the cloud, it s being applied to resources such as application servers, application delivery systems, and other infrastructure required to provide on-demand computing environments that expand and contract as necessary without manual intervention.
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The best of both worlds: internal data center plus cloud
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Suppose an organization appreciates the benefits of cloud computing but would prefer to take a more careful and measured approach. It has the option of a hybrid approach
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The (alternative) negative definition of a cloudburst
Here s a negative definition of the term cloudburst, by Nicholas Carr : [It is] the failure of a cloud-computing environment due to the inability to handle a spike in demand. Carr was reporting on some issues that came out of poor performance from Intuit s cloud; he said, The only way to do cloud computing efficiently is to share the cloud to establish a broad, multitenant grid (or a number of them) that balances the loads of many different companies. Otherwise, it ll be one cloudburst after another, [alternating with] a whole lot of underutilized capital assets.
Designing for on-demand capacity: cloudbursting
for moving to the cloud, where core business processes remain inside the firewall and periodic or overflow processing happens on the cloud. This best-of-both-worlds design pattern was the genesis of cloudbursting.
INTERNAL APPLICATION THAT ADAPTS DYNAMICALLY
Cloudbursting describes an evolving model that marries the traditional safe enterprisecomputing model with cloud computing. The cloud shoulders the burden of some of an application s processing. For example, the cloud provides the basic application functionality, whereas more critical (revenue-generating) functions continue to be served from within the controlled enterprise data center.
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