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10. Select Windows authentication or SQL Server authentication. Windows Integrated Security is selected by default, and the groups are populated with the default built-in groups. 11. Click OK to apply the selected settings for the AppFabric persistence store. Click Yes in the confirmation dialog box. After verifying that persistence store was initialized and registered successfully, the Persistence Store Configuration page will be closed, and you will be returned back to the Configure Hosting Services page. Click Next. At this time, the AppFabric configuration wizard will start the Event Collection service and Workflow Management service, if they are configured, and then display the Configure Caching Service page. 12. On the Configure Caching Service page (see Figure 5-16), select the Set Caching Service configuration check box to add or update system-level configuration of the Caching Service feature. When specifying the Caching Service configuration provider, you have two choices available to you: XML: Caching Service configuration information is stored in an XML file on a network file share. If you have chosen to store cache configuration information in an XML file, enter or browse to the network file share that will contain the XML configuration file.

Many important HTTP options and some important data are sent through request headers Headers are name-value pairs that are transmitted in the request and carry additional information about interpreting the request body Headers are used to identify the client or the browser to the server, negotiate supported content types, configure caching options, set cookies, and a lot more Let s now do a simple request to the Google search page similar to the one we did with Internet Explorer when we introduced Fiddler Here is the command: PS> $url = "http://wwwgooglecom" PS> $proxy = "http://localhost:8888" PS> \Get-Urlps1 -Url $url -Proxy $proxy <html><head><meta http-equiv="content-type" content="text/html; charse t=ISO-8859-1"><title>Google</title><style>body,td,a,p,h{font-family:a .. I mentioned that Google knows what type of browser is requesting its pages and serves different content types This is known as content negotiation.

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method of the Program class is now executed to create, start, and wait for completion of the workflow. The full Type name of SharedWorkflows.Workflow1 is specified since the code didn t previously add a using statement for the SharedWorkflows namespace. When the workflow completes, the value of the Result property is written to the console. When this test application is run, I see these results: 5858fb5e-b9f0-417d-8454-79a479c21a19 5858fb5e-b9f0-417d-8454-79a479c21a19 9f926ef4-a708-41f3-bc0f-c8e1083d4b66 9f926ef4-a708-41f3-bc0f-c8e1083d4b66 dbcb49da-5029-44d0-8a8c-576d31af3b99 dbcb49da-5029-44d0-8a8c-576d31af3b99 Press any key to exit executing, parameter=one result property executing, parameter=two result property executing, parameter=three result property

When we visited the page with Internet Explorer, we got back a gzip-compressed version of the page When we requested the same page from our PowerShell script, we got back a plain-text version How does Google know what type of content to serve back The mechanism for doing that relies on HTTP headers First, Google checks the Accept-Encoding header; it tries to detect if the client supports the gzip or deflate encoding algorithms Due to buggy browsers that claim that they support gzipped content but fail to actually do so (the first one that comes to mind is Internet Explorer 60), Google also checks the User-Agent header The User-Agent header uniquely identifies the client browser type At the end, Google streams compressed content to known good browsers that have also indicated that they can handle that type of content.

Your results will certainly be different since the Guid assigned to each workflow instance is designed to be globally unique. If you do happen to get these exact results, you might want to contact Microsoft immediately and tell them that they have a very big problem. The results show that three separate instances of the workflow were executed. The workflow instances were executed sequentially, one at a time, and each instance received a different input parameter.

Note You must manually create a network file share that is accessible to all cache servers in the cache cluster.

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