Designing for on-demand capacity: cloudbursting in Visual Studio .NET

Creating QR Code in Visual Studio .NET Designing for on-demand capacity: cloudbursting

Designing for on-demand capacity: cloudbursting
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Figure 5.9 A highly simplified cloudbursting architecture showing that most users are directed by the load-balancer to the data center. After capacity is reached, additional users are directed to the cloud-resident portion of this application.
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A simple architecture diagram shows that cloudbursting, although backed by some compelling business-case numbers, isn t for the faint of heart. It s complicated. Figure 5.9 shows a highly simplified cloudbursting architecture. Static page generation has no cross-page dependencies and can easily be split across several servers. Eventseer, from the earlier example, wanted to make sure the pages were done in a single night. The site divided the processing tasks into batches that each took roughly five hours to complete and split them across as many Amazon EC2 instances as needed (25 in this case). The cost was about $12.50. You can see why IaaS works best for cloudbursting: an Amazon Machine Image (AMI) with the identical packages and software as your production server must be created. You only have to make sure the instances launched from that AMI are working with the freshest available data. For Eventseer, the full database is regularly synced with Amazon Simple Storage Service (S3) see figure 5.10. After launching the EC2 instances, each instance is instantiated with the latest data from S3. When the processing job is finished, the results are sent to the production server, the EC2 instances terminate themselves, and Eventseer stops paying for them.
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Figure 5.10 Eventseer s cloudbursting architecture. Eventseer s data center operates the production servers that serve all pages to site visitors, the master database, and the master queue of pages that need updating. The database is synced regularly over to Amazon s S3 so a replica of the current database is resident in the cloud when needed. Twice a day, an array of AMIs are spun up in EC2, and each is provided a copy of the database replica. Work to perform comes from the queue, which is updated periodically. Final static pages are sent back to the production data center at Eventseer.
Keeping the static files up to date is the most difficult part of Eventseer s dynamicto-static conversion. Whenever an event is added, hundreds of pages may have to be updated. It would be too time-consuming and unnecessary to do these updates on the fly because it s not crucial that all pages be immediately updated. Delegating this task to regularly executed cloud-based servers is therefore workable. To keep track of pending changes, Eventseer sets up a queuing system using Amazon s Simple Queue Service (SQS). Each page-update request is first added to a local queue that s regularly kept in synch with a remote queue on Amazon. The motivation for having two separate queues is for those times when Amazon is unavailable. Twice a day, the required number of EC2 instances are automatically launched on Amazon. The most current version of the database is fetched from S3 and installed on each instance. Then, page-update requests are fetched one at a time from SQS until the queue is empty. Finally, all the generated static files are sent to the production server and installed at their correct location. When the EC2 instances are no longer needed, they shut themselves down. This solution, when compared with the cost of purchasing dedicated server capacity, proved inexpensive for Eventseer.
A recipe for implementing cloudbursting
Let s get more specific and prescriptive now and walk through what your design has to include to cloudburst. Let s assume that at the top level, this application has an input task queue for work that it needs to do and an output queue for the results of the work it performs. You begin by adding a Manager component to your system (it can be a separate process
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