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BURSTS OUT TO THE CLOUD WHEN DEMAND SPIKES
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How do you move from your local data center to the cloud You need to add loadbalancing (or some strategic control point that acts much the same). Such loadbalancing provides a means to redirect requests to an external cloud in the event that corporate resources are depleted. When a request is received, the global loadbalancer decides which data center (corporate or cloud) should handle the request based on its understanding of capacity. Because the data-center application suddenly comes out of the data center and immediately enters the cloud, this concept began being described as bursting.
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Cloudbursting business case
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The strongest business case for cloudbursting is both simple and compelling: seasonal or event-based peaks of traffic that push infrastructure over its capacity. But because they aren t consistent, they don t justify the cost of investing in additional hardware that would otherwise sit idle. It s hard to provision an application correctly. To err on the side of safety, most datacenter applications are overprovisioned, which has led to consistently low utilization of data-center compute resources. Often, data centers are either overprovisioned with servers that sit idle most of the time or have insufficient capacity planning that causes outages or (at a minimum) poor service for users. Buying exactly the right processing capacities from the start is impossible. Even with the best estimate, you ll either have excessive capacities or will miss some spikes. Let s look at a cost comparison between data-center provisioning and elastic cloud provisioning.
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AN EXAMPLE BUSINESS CASE
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Take a hypothetical example: Reign.net provisions an application with a server costing $500. The server handles the target application it will be running at baseline user load. If Reign.net tries to provision for a huge two-day spike with 10 Amazon EC2 medium CPU virtual machines to handle spikes (the price is $0.20 per hour each), then the total cost of handling the projected spike is around $48. To adequately cover this spike locally would require an expense of $5,000 for 10 servers that would be idle most of the time. Given this compelling business case, you may ask why you wouldn t move everything to the cloud. It s important to note several reasons:
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Designing and architecting for cloud scale
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Cloud computing solutions are generally more expensive when it comes to longterm consumption (compared to existing offerings by hosting companies). Cloudbursting is a more complex solution to implement (from the delivery and maintenance standpoints). Today, using any cloud still comes with a certain vendor lock-in cost. When you have your entire infrastructure in a single cloud, it s not easy to move it to a different cloud (particularly because we don t have a well-established cloud computing market, or standards, or even portability yet).
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To reduce the dependency on a single cloud provider, Reign.net can use several cloudcomputing providers, picking whichever is better for the situation but that further complicates the solution and makes it more expensive.
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THE EVENTSEER CLOUDBURSTING BUSINESS CASE
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Going back to a real-world example that we mentioned earlier, let s look at how Eventseer architected its solution to include cloudbursting. First, let s review the business problem the company was trying to solve. Eventseer is an academic event tracker that contains some 8,000 event listings. It has a database of 573,000 people, 4,000 research topics, and 3,000 organizations, each of which has its own page. This adds up to almost 600,000 worth of pages. All the pages are highly interconnected, so each added event tends to require a considerable number of page updates. As traffic grew, Eventseer was becoming slower. Navigating the site involved noticeable delays. Traffic analysis showed the average server load to be consistently high. Some of the obvious solutions, such as reducing the number of database queries per page view or caching rendered pages, were helpful but not satisfactory. The ultimate bottleneck was that each and every request was sent through the full dynamic page-rendering cycle. With increasing traffic, that overhead compounded. Spreading the load across additional servers only addressed the symptom, not the core problem. What pushed the site over the edge was search-engine traffic: being continuously pounded by multiple search engines crawling those 600,000 dynamically generated pages took its toll. Eventseer.net decided to explore generating static pages every night to handle search-engine crawlers, first-time users, and other non-authenticated users for whom static pages are sufficient. This would speed up those users experience dramatically and free up CPU cycles for the many fewer registered visitors who must have dynamically generated pages. Great solution, but it created a business problem because generating all 600,000 of these static pages every night took seven days on a single server. This led them to a cloudbursting architecture. And architecture is the next topic we need to delve into. Assuming a compelling business case for your situation, how do the internal data center and the cloud communicate, and how does the application shift from one to the other You ll find the answers in the next section.
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