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The SDK object componentManager uses these parameters to load the block into the test harness. You can see if your block has been loaded by looking below the text box when the test harness is running (see Figure 8-24).

Summary

The .NET Framework frees the programmer from the COM legacy. As a C# programmer, you do not need to use COM, and therefore do not need any of the following: The IUnknown interface: In COM, all objects must implement interface IUnknown. In contrast, all .NET objects derive from a single class called object. Interface programming is still an important part of .NET, but it is no longer the central theme. Type libraries: In .NET, information about a program s types is kept together with the code in the program file, not in a separate type library the way it is in COM. Reference counting: The programmer no longer has to keep track of references to objects. In .NET, the GC keeps track of references and deletes objects when appropriate. HRESULT: The HRESULT data type used in COM to return runtime error codes is not used in .NET. Instead, all runtime errors produce exceptions. The registry: This system-wide database that holds information about the operating system and application configurations is not used when deploying .NET applications. This simplifies installation and removal of programs.

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Serving thousands or millions of customers has become a routine assignment for application developers in the modern world, and several key technologies have emerged to help them meet this scale and all of them can easily be accessed from Python The most popular may be Memcached, which combines the free RAM across all of the servers on which it is installed into a single large LRU cache As long as you have some procedure for invalidating or replacing entries that become out of date or an interface with components that are allowed to go seconds, minutes, or hours out of date before needing to be updated Memcached can remove massive load from your database or other back-end storage.

Deploying programs written for the .NET Framework can be considerably easier than it was previously, for the following reasons: .NET programs do not need to be registered with the registry. In the simplest case, a program just needs to be copied to the target machine. Side-by-side execution allows different versions of a DLL to exist on the same machine. This means that every executable can have access to the version of the DLL for which it was built.

It can also be inserted at several different points in your processing; instead of saving the result of an expensive database query, for example, it might be even better to simply cache the web widget that ultimately gets rendered You can assign an expiration data to cache entries as well, in which case Memcached will remove them for you when they have grown too old Message queues provide a point of coordination and integration for different parts of your application that may require different hardware, load balancing techniques, platforms, or even programming languages They can take responsibility for distributing messages among many waiting consumers or servers in a way that is not possible with the single point-to-point links offered by normal TCP sockets, and can also use a database or other persistent storage to assure that updates to your service are not lost if the server goes down.

Looking further into Listing 8-1, you can find familiar utility objects, detailed in 7. The environment object is used in the getLatestPosts() function to retrieve the XML generated by the Twitter service and referenced by the URL http://twitter.com/statuses/ public_timeline.xml:

The CLR checks and ensures the type safety of parameters and other data objects even between components written in different programming languages.

Message queues also offer resilience and flexibility, since if some part of your system temporarily becomes a bottleneck, then the message queue can absorb the shock by allowing many messages to queue up for that service By hiding the population of servers or processes that serve a particular kind of request, the message queue pattern also makes it easy to disconnect, upgrade, reboot, and reconnect servers without the rest of your infrastructure noticing Finally, the map-reduce pattern provides a cloud-style framework for distributed computation across many processors and, potentially, across many parts of a large data set Commercial offerings are available from companies like Google and Amazon, while the Hadoop project is the foremost open source alternative but one that requires users to build server farms of their own, instead of renting capacity from a cloud service.

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