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As shown in Figure 1-5, the result of load testing is a performance curve that shows how the response time of a database server degrades with increased user load. Of course, every database server has its own specific curve, but the general pattern of this curve always remains the same. Most important to understand is that performance degradation is not gradual. At first, as the number of users increase, the server can handle the increased load without any difficulty. This is the range of best perfor mance that ends at the point of maximum efficiency the point at which the server can accommodate the most users without any corresponding cost in performance. In Figure 1-5, the point of maximum efficiency occurs with 100 simultaneous users. In a production environment, a database application server should perform within this range of best performance and as close as possible to the point of maximum efficiency.

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Run users in Admin Approval Mode. If an administrative user requires elevated privileges, the enterprise UAC policy should enforce that the user enters a valid administrator user name and

Figure 1-5

4:

After this point, when new users are added, performance typically begins to gradually weaken in an area called the stress climb, which represents the performance range at which you should tune, upgrade, or replace a production server. Finally, at the perfor mance knee, performance deteriorates exponentially, and the system might even become unstable. For the database server for which the performance curve is charted in Figure 1-5, the performance knee occurs at 175 simultaneous users. Thus, 175 users is the absolute maximum number of users that this application server should ever handle in a production environment without further tuning or upgrading.

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In this case, the Bezier curve is defined with a start point at (100,100), an end point at (300,100), and a control point at (200,0). An animation is set up to trigger after the path loads, and it animates the end point of the curve (Point2) from (300,100) to (300,600) over a time duration of five seconds.

7

Understanding User Account Control (UAC)

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Hardware failures are the more commonly evaluated failures. Many of the servers in your environment have hot-swappable disk drives as well as redundant network cards. Hot-swappable disk drives do not provide any fault tolerance unless you are using a redundant array of inexpensive disks (RAID) configuration that can with stand drive failure. Redundant network cards also do not provide any tolerance if you have configured a single card to handle all the communications. The RAID controllers or host bus adapters (HBAs) must provide redundancy because they provide the access point to your storage. You need to deploy cards with battery backups to ensure that writes sent to disk can be successfully completed in the event of an outage on the server. Although disk drives, network cards, and storage controllers are the most common hardware elements that are considered, processors and memory banks can also fail. Fortunately, the failure of a processor or memory bank is extremely rare. The only way to protect from these types of issues is with redundant servers.

password instead of simply clicking the Consent dialog box. This configuration prevents unauthorized elevations on the off-chance that a user leaves his workstation unattended. To improve security you could also require the Ctrl+Alt+Delete key sequence for any elevation to complete. This makes entering administrative credentials far more secure.

Software failures encompass the entire spectrum of errors that cause data to become unavailable to end users. The first step of managing these types of failures is having a good change control process in place. Changes to an environment are the most com mon cause of software failures, so understanding the elements that changed recently can help diagnose outages and get the system back online quickly. Failures in the operating system or SQL Server are most easily taken care of by imple menting redundant systems. If the operating system of SQL Server is unavailable, applications can switch over to a secondary server while IT staff analyze the issue and fix the software problem. Web servers and application servers are usually protected from software failures (unless the issue is due to a configuration change) because these components are gen erally redundant for scalability purposes.

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