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How many administrators do you need
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Data centers are staffed with IT pros to care and feed the servers. Data centers need a lot of attention, ranging from hardware maintenance to backup, disaster recovery, and monitoring. Think of your company. How many people are allocated to manage your servers Depending on how optimized your IT center is, the ratio of person-toservers can be anywhere from 1:10 to 1:100. With that ratio, Microsoft would need 35,000 server managers. Hiring that many server administrators would be hard, considering that Microsoft employs roughly 95,000 people already. To address this demand, Azure was designed to use as much automation as possible, using a strategy called lights-out operations. This strategy seeks to centralize and automate as much of the work as possible by reducing complexity and variability. The result is a person-to-servers ratio closer to 1:30,000 or higher. Microsoft is achieving this level of automation mostly by using its own off-the-shelf software. Microsoft is literally eating its own dog food. It s using System Center Operations Manager and all the related products to oversee and automate the management of the underlying machines. It s built custom automation scripts and profiles, much like any customer would do.
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One key strategy in effectively managing a massive number of servers is to provision them with identical hardware. In traditional data centers where we ve worked, each year brought the latest and greatest of server technology, resulting in a wide variety of technology and hardware diversity. We even gave each server a distinct name, such as Protoss, Patty, and Zelda. With this many servers, you can t name them; you have to number them. Not just by server, but by rack, room, and facility. Diversity is usually a great thing, but not when you re managing millions of boxes. The hardware in each Azure server is optimized for power, cost, density, and management. The optimization process drives exactly which motherboard, chipset, and every other component needs to be in the server; this is truly bang for your buck in action. Then that server recipe is kept for a specific lifecycle, only moving to a new bill of materials when there are significant advantages to doing so.
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Microsoft isn t done. It s already spent years planning the fourth generation of data centers. Much like the edge data center we described previously, the whole data center is located outside. The containers make it easy to scale out the computing resources as demand increases; prior generations of data centers had to have the complete data center shell built and provisioned, which meant provisioning the cooling and power systems as if the data center were at maximum capacity from day one. The older systems were too expensive to expand dynamically. The fourth generation data centers are using an extendable spine of infrastructure that the computing containers need, so that both the infrastructure and the computing resources are easily scaled out (see figure 3.1). All of this is outside, in a field of grass, without a roof. They ll be the only data centers in the world that need a grounds crew.
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Data spine 1
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Figure 3.1 Generation 4 data centers are built on extensible spines. This configuration makes it easy to add not only computational capacity, but the required infrastructure as well, including power and cooling.
How Windows Azure works
OK, you re impressed. Microsoft has a lot of servers, some of them are even outside, and
all the servers are managed in an effective way. But how does the cloud really work
Windows Azure, an operating system for the cloud
Think of the computer on your desk today. When you write code for that computer, you don t have to worry about which sound card it uses, which type of printer it s connected to, or which or how many monitors are used for the display. You don t worry, to a degree, about the CPU, about memory, or even about how storage is provided (solidstate drive [SSD], carrier pigeon, or hard disk drive). The operating system on that computer provides a layer of abstraction away from all of those gritty details, frees you up to focus on the application you need to write, and makes it easy to consume the resources you need. The desktop operating system protects you from the details of the hardware, allocates time on the CPU to the code that s running, makes sure that code is allowed to run, plays traffic cop by controlling shared access to resources, and generally holds everything together. Now think of that enterprise application Your app Your app you want to deploy. You need a DNS, networkWindows Server Windows Azure ing, shared storage, load balancers, plenty of Security Security servers to handle load, a way to control access Management Management and permissions in the system, and plenty of other moving parts. Modern systems can get Fabric Controller complicated. Dealing with all of that complexKernel Task scheduler Task scheduler ity by hand is like compiling your own video driver; it doesn t provide any value to the busiHardware Hardware abstraction abstraction ness. Windows Azure does all this work, but on layer layer a much grander scale and for distributed Disk CPU GPU Memory applications (see figure 3.2) by using something called the fabric. Let s look into this fabFigure 3.2 The Fabric Controller is like ric and see how it works. the kernel of your desktop operating Windows Azure takes care of the whole system. It s responsible for many of the same tasks, including resource sharing, platform so you can focus on your application. code security, and management. The term fabric is used because of the similarity of the Azure fabric to a woven blanket. Each thread on its own is weak and can t do a lot. When they re woven together into a fabric, the whole blanket becomes strong and warm. The Azure fabric consists of thousands of servers, woven together and working as a cohesive unit. In Azure, you don t need to worry about which hardware, which node, what underlying operating system, or even how the nodes are load balanced or clustered. Those are just gritty details best left to someone else. You just need to worry about your application and whether it s operating effectively. How much time do you spend wrangling with these details for your on-premises projects It s probably at least 10 20 percent of the total project cost in meetings alone. There are savings to be gained by abstracting away these issues.
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