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Employ redundant networks: In the event of a main network failure, you should have the ability to switch to an alternate source to have traffic flow in and out with little to no downtime If your main network fails, every single server in your data center, and subsequently all of your company s productivity from the top on down to end users, will be halted Yes, this is expensive, but a network blip can also cause more havoc than just reducing productivity It may introduce instability into such things as applications (depending on how they handle such failures), and could cause a whole chain of events to happen This scenario, however, may not take care of a wide area network (WAN), which involves multiple sites that are located across the globe A redundant network will only protect the network in the location it is deployed.

Armed with this information, you could at least deduce that, for example, the patient s physician information is stored in the PatPhysician table. However, often table and field names aren t intuitively named. When we encounter a database such as this from time to time, we run a Profiler trace and perform some routine tasks on the associated application, such as opening a form and searching for an identifiable record to get a starting point with the captured data. The Profiler returns the resulting query with table and field names that we can then use to discern the database structure.

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Another drawback with lookup is that it becomes very difficult to test your classes in isolation from the container Using injection, testing your components is trivial, because you can simply provide the dependencies yourself using the appropriate constructor or setter Lookup-based solutions are, by necessity, more complex than injection-based ones Although complexity is nothing to be afraid of, we question the validity of adding unneeded complexity to a process as core to your application as dependency management All of these reasons aside, the biggest reason to choose injection over lookup is that it makes your life easier You write substantially less code when you are using injection, and the code that you do write is simple and can, in general, be automated by a good IDE.

Include the network in capacity planning: Imagine this scenario: your data center has plenty of free rack space You buy a new set of servers for your new SharePoint installation, get them racked, and shockingly discover you are out of network ports or the necessary amps to run them Need I say more The best test is the 9 am test where you turn everything on at once and see what happens You can oversaturate everything in your data center very quickly..

You will notice that all of the code in the injection samples is passive, in that it doesn t actively try to accomplish a task; the most exciting thing you see in injection code is objects getting stored in a field not much can go wrong there! Passive code is much simpler to maintain than active code, because there is very little that can go wrong Consider the following code taken from Listing 3-3: public void lookup(BeanFactory container) { thisservice = (MessageService)containergetBean("service"); } In this code, plenty could go wrong: the dependency key could change; the container instance could be null; or the returned dependency might be the incorrect type Naturally, the last two cases would result in a NullPointerException or a ClassCastException, but you would find out only when you run the application; you could not discover this in an automated test.

Now that you have learned about individual technologies, it is time to put the pieces of the puzzle

We say this code has a lot of moving parts, because plenty of things can break Using lookup might decouple the components of your application, but it adds complexity in the additional code required to couple these components back together to perform any useful tasks..

SQL Server Profiler is an excellent tool for capturing not only the actual queries and stored procedures Tip that are executing against the server but also the performance data, such as the duration of the execution time, the central processing unit (CPU) cycles and input/output (I/O) measurements, and the application that initiated the query. Because you can save this data directly to a SQL table, you can analyze it readily, and it even makes good fodder as a source for a report in SSRS.

together. You do not live in a world where you are only dealing with, say, failover clustering or log shipping. You design, administer, and maintain solutions. This last section of the book will now take you on the journey of how to turn the past 13 chapters into a true 24x7 environment.

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