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Here are some typical storage formats used by SQL Server systems: ATA Using a parallel interface, ATA is one of the original implementations of disk drive technologies for the personal computer. Also known as IDE or parallel ATA, it integrates the disk controller on the disk itself and uses ribbon-style cables for connection to the host. SATA In widespread use today, SATA, or serial ATA, drives are an evolution of the older parallel ATA drives. They offer numerous improvements such as faster data transfer, thinner cables for better air flow, and a feature known as Native Command Queuing (NCQ) whereby queued disk requests are reordered to maximize the throughput. Compared to SCSI drives, SATA drives offer much higher capacity per disk, with terabyte drives (or higher) available today. The downside of very large SATA disk sizes is the increased latency of disk requests, partially offset with NCQ. SCSI Generally offering higher performance than SATA drives, albeit for a higher cost, SCSI drives are commonly found in server-based RAID implementations and high-end workstations. Paired with a SCSI controller card, up to 15 disks (depending on the SCSI version) can be connected to a server for each channel on the controller card. Dual-channel cards enable 30 disks to be connected per card, and multiple controller cards can be installed in a server, allowing a large number of disks to be

maintaining test scripts that simulate your end users. Traditional load testing even cloud-based load testing is still based on the concept of simulating 50, 250, or even 1,000 users from a single computer. To accomplish this, load-testing tools don t run a browser. Instead, they play back only the HTTP traffic that a browser would issue if a real user were to visit a site. The following listing shows a typical load-test script that simulates a user visiting Google and searching for manning publications .

package org.example.antbook; import javax.servlet.http.HttpServletRequest; public class RequestUtil { public static final String getValue (HttpServletRequest request, String key) { String value = request.getParameter(key); if (value != null) { return value; } value = (String) request.getAttribute(key); if (value != null) { return value; } return null; } }

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Focus is like a game of tag; one and only one component on the screen is always it. All devices with UIs support this concept. When you re turning the pages of a book, your focus is on one particular page at a time. Computer interfaces are no different.

Choosing a cloud vendor is a momentous decision. Let s explore the two most critical aspects of making that decision: the business considerations and the technical operational considerations.

Now open your site in SharePoint Designer and choose to edit the page in which you added the Web Part. Select the Web Part you just added and then, in the Ribbon, select View > Task Panes > Tag Properties. You ll see a new pane (called Tag Properties) listing all the Web Part properties. Scroll down to the Misc section and you ll see the custom properties, as shown in figure 5.2. SharePoint Designer will pick up all public properties and make them available for editing using the Tag Properties pane. You can also manually edit a property as an attribute to the Web Part tag in Source Code mode.

Have you ever taken over a project to fix a bug or code a feature In such a situation, did you feel uncertain, lost, or upset How many times have you wanted to find the person who originally wrote the piece of code you re working on and simply thank them warmly If you re living in the same world we are, this has happened to you at least a few times (see figure 8.1). Did you ever wonder why you felt like this Was it because the code didn t do what it was supposed to do If it wasn t a bug, it was probably something else: the software smelled. And nothing is worse than smelly code. In this chapter, we ll discuss what you can do about smelly code and how to enforce clean code using CI. We ll look at a few tools that make this possible: FxCop, StyleCop, NDepend, and a TeamCity tool that checks for code duplication.

Figure 14.14 Profiler allows Performance Monitor logs to be imported, and this permits correlation of Profiler events with the corresponding Performance Monitor counters of interest.

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