By Rob Linton
Assessment your Cloud specifications and effectively migrate your .NET firm software to the Amazon internet prone Platform
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Assessment your Cloud necessities and effectively migrate your . web firm software to the Amazon internet prone Platform
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Extra info for Amazon Web Services: Migrating your .NET Enterprise Application
Well, it means that for all the scalability that the cloud provides, there will always be limiting factors. In the case of the Microsoft platform stack, our limiting factor is that SQL Server cannot scale sideways, only up. So our scalability is effectively limited by the size of our SQL Server infrastructure. Database scaling is a hot topic at the moment, and to explain what I mean by vertical versus horizontal scaling, let's look at how data is stored in SQL Server. In SQL Server, there is a single database stored on a single server.
When each instance starts, it is automatically allocated a public IP address and externally accessible DNS name. com As you can see, this is based on the publically accessible IP address of your newly created instance, and includes the availability zone and region that your instance is running in. You can also allocate a static IP address using an AWS 'Elastic IP', which, once allocated, remains the same and can be used as a permanent access point to your instance once started. So with the publically accessible DNS name in addition to the Administrator password, you will now have everything you need to RDP to your new instance.
There is no cost for data transfer to/from EC2 to S3 within the same region. In the case of archiving, I would recommend customizing an interface to allow the incremental offloading of data over time automatically and directly from your database application, as there are currently no tools generally available for this task. [ 30 ] Chapter 2 We will detail how our application handles archiving, later on in the chapter. Elastic Compute Cloud (EC2) To access the Elastic Compute Cloud (EC2) functionality, access the Amazon EC2 table in the AWS Console.