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NOTE FRS and DFSR are not compatible; all replicas in a set must be replicated via FRS or DFSR While a server can run both FRS and DFSR, they must be used to replicate separate folder structures

Acontrol is a class that derives from the SystemWindowsFormsControl base (either directly or indirectly) and is responsible for drawing a chunk of the container , which is either a form or another control WinForms comes with several standard controls available by default on the Toolbox in VSNET These controls can be broken into the following ad hoc categories: Action controls Controls such as Button and Toolbar exist to allow the user to click on them to cause something to happen Value controls Controls such as Label and PictureBox show the user a value, such as text or a picture, but don't allow the user to change the value Other value controls, such as TextBox or DateTimePicker, allow the user to change the value being displayed List controls Controls such as ListBox and ComboBox show the user a list of data Other list controls, such as DataGrid, allow the user to change the data directly Container controls GroupBox, Panel, and TabControl exist to contain and arrange other controls AlthoughAppendix D: Standard WinForms Components and Controls lists and shows each of the standard controls, it's useful to consider each category for the features that the controls share in common

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One option for performing requests in parallel is to run them in multiple threads However, this isn t as straightforward in Ruby as it is in other languages Because of the user-level threads in Ruby 18 and the global interpreter lock in Ruby 19, the performance of threaded requests may not actually reflect true parallelism Still, there are some performance gains in running multiple requests via threads Here is an example of using standard Net::HTTP in a multi-threaded fashion:

DFSR has been tested with terabytes of data, consisting of millions of les, and can support up to 4,000 members in each replication group, with a number of topologies available for the replication For example, you can use a full mesh where every member of the replica set replicates to every other member of the set; this would work ne for smaller environments Or you can nominate several members as hub locations and then link the other members to a particular hub to create a hub-and-spoke model, which is great for larger environments This is particularly the case where locations in the environment are geographically spread out Limit the number of times data is sent over slower WAN links Each server can be a member of 256 different replication groups, with a total of 256 replication folders

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FIGURE 15-4 This example shows DFSR in action In addition to the use of RDC, the overall performance of DFSR has improved For example, instead of 4 threads used to copy data, 16 threads are now used The replication also sends its data as low priority, so it doesn t interfere with existing traf c on a link The new DFSR requires little management; it has a intuitive GUI and wizards to help create DFSR sets, which you can have created automatically when you create a DFS folder with multiple targets A management pack is available for System Center Operations Manager so the health of DFSR can be automatically monitored and alerts can be generated as needed The old problem with the NTFS journal wrapping does not break DFSR Instead, DFSR automatically realizes that the NTFS transaction log has wrapped and performs a check of each side of the replication set and continues replicating changes, normally taking less than 60 seconds to recover automatically The DFSR process goes like this: 1 A change is made to a le and is re ected in the NTFS USN journal log 2 DFSR subscribes to the NTFS USN journal log, and any changes go through a lter so les that are not being replicated are ignored 3 For a le that is being replicated, when the le is closed (if the le had a lock; otherwise, les opened with a read-share access by an application can be replicated while still open) an entry is written to the internal DFSR ID table to track the change 4 The changes between the saved le and its previous contents are calculated, and the changes are sent to the replication partner

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