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  • Building a Distributed Commerce Infrastructure in the Cloud using Azure and Commerce Server

    - by Lewis Benge
    One of the biggest questions I routinely get asked is how scalable Commerce Server is. Of course the text book answer is the product has been around for 10 years, powers some of the largest e-Commerce websites in the world, so it scales horizontally extremely well. One argument however though is what if you can't predict the growth of demand required of your Commerce Platform, or need the ability to scale up during busy seasons such as Christmas for a retail environment but are hesitant on maintaining the infrastructure on a year-round basis? The obvious answer is to utilise the many elasticated cloud infrastructure providers that are establishing themselves in the ever-growing market, the problem however is Commerce Server is still product which has a legacy tightly coupled dependency on Windows and IIS components. Commerce Server 2009 codename "R2" however introduced to the concept of an n-tier deployment of Microsoft Commerce Server, meaning you are no longer tied to core objects API but instead have serializable Commerce Entity objects, and business logic allowing for Commerce Server to now be built into a WCF-based SOA architecture. Presentation layers no-longer now need to remain on the same physical machine as the application server, meaning you can now build the user experience into multiple-technologies and host them in multiple places – leveraging the transport benefits that a WCF service may bring, such as message queuing, security, and multiple end-points. All of this logic will still need to remain in your internal infrastructure, for two reasons. Firstly cloud based computing infrastructure does not support PCI security requirements, and secondly even though many of the legacy Commerce Server dependencies have been abstracted away within this version of the application, it is still not a fully supported to be deployed exclusively into the cloud. If you do wish to benefit from the scalability of the cloud however, you can still achieve a great Commerce Server and Azure setup by utilising both the Azure App Fabric in terms of the service bus, and authentication services and Windows Azure to host any online presence you may require. The architecture would be something similar to this: This setup would allow you to construct your Commerce Services as part of your on-site infrastructure. These services would contain all of the channels custom business logic, and provide the overall interface back into the underlying Commerce Server components. It would be recommended that services are constructed around the specific business domain of the application, which based on your business model would usually consist of separate services around Catalogue, Orders, Search, Profiles, and Marketing. The App Fabric service bus is then used to abstract and aggregate further the services, making them available to the cloud and subsequently secured by App Fabrics authentication services. These services are now available for consumption by any client, using any supported technology – not just .NET. Thus meaning you are now able to construct apps for IPhone, integrate with Java based POS Devices, and any many other potential uses. This aggregation is useful, and forms the basis of the further strategy around diversifying and enhancing the e-Commerce experience, but also provides the foundation for the scalability we want to gain from utilising a cloud-based application platform. The Windows Azure application platform is Microsoft solution to benefiting from the true economies of scale in terms of the elasticity of the cloud. Just before the launch of the Azure Platform – Domino's pizza actually managed to run their whole SuperBowl operation from the scalability of Windows Azure, and simply switching back to their traditional operation the next day with no residual infrastructure costs. The platform also natively can subscribe to services and messages exposed within the AppFabric service bus, making it an ideal solution to build and deploy a presentation layer which will need to support of scalable infrastructure – such as a high demand public facing e-Commerce portal, or a promotion element of a brand. Windows Azure has excellent support for ASP.NET, including its own caching providers meaning expensive operations such as catalogue queries can persist in memory on the application server, reducing the demand on internal infrastructure and prioritising it for more business critical operations such as receiving orders and processing payments. Windows Azure also supports other languages too, meaning utilising this approach you can technically build a Commerce Server presentation layer in Java, PHP, or Ruby – or equally in ASP.NET or Silverlight without having to change any of the underlying business or Commerce Server implementation. This SOA-style architecture is one of the primary differentiators for Commerce Server as a product in the e-Commerce market, and now with the introduction of a WCF capability in Commerce Server 2009/2009 R2 the opportunities for extensibility of the both the user experience, and integration into third parties, are drastically increased, all with no effect to the underlying channel logic. So if you are looking at deployment options for your e-Commerce application to help support demand in a cost effective way. I would highly recommend you consider looking at Windows Azure, and if you have any questions in-particular about this style of deployment, please feel free to get in touch!

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  • Comparison of Community Linux Distributions for the Enterprise

    <b>Wazi:</b> "Looking for ways to save money on your computing infrastructure? Heard about Linux uptime but need to do more research? You're not alone. Community Linux distros have become increasingly popular within the enterprise as organizations look to cut costs without compromising on functionality and reliability."

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  • The Dos and Don'ts of Database Indexing

    The creation of database indexes is the last thing developers and database designers think about--almost an afterthought. Greg Larsen shows you some of the dos and don'ts of indexing to help you pick reasonable indexes at design time.

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  • RIDC Accelerator for Portal

    - by Stefan Krantz
    What is RIDC?Remote IntraDoc Client is a Java enabled API that leverages simple transportation protocols like Socket, HTTP and JAX/WS to execute content service operations in WebCenter Content Server. Each operation by design in the Content Server will execute stateless and return a complete result of the request. Each request object simply specifies the in a Map format (key and value pairs) what service to call and what parameters settings to apply. The result responded with will be built on the same Map format (key and value pairs). The possibilities with RIDC is endless since you can consume any available service (even custom made ones), RIDC can be executed from any Java SE application that has any WebCenter Content Services needs. WebCenter Portal and the example Accelerator RIDC adapter frameworkWebCenter Portal currently integrates and leverages WebCenter Content Services to enable available use cases in the portal today, like Content Presenter and Doc Lib. However the current use cases only covers few of the scenarios that the Content Server has to offer, in addition to the existing use cases it is not rare that the customer requirements requires additional steps and functionality that is provided by WebCenter Content but not part of the use cases from the WebCenter Portal.The good news to this is RIDC, the second good news is that WebCenter Portal already leverages the RIDC and has a connection management framework in place. The million dollar question here is how can I leverage this infrastructure for my custom use cases. Oracle A-Team has during its interactions produced a accelerator adapter framework that will reuse and leverage the existing connections provisioned in the webcenter portal application (works for WebCenter Spaces as well), as well as a very comprehensive design patter to minimize the work involved when exposing functionality. Let me introduce the RIDCCommon framework for accelerating WebCenter Content consumption from WebCenter Portal including Spaces. How do I get started?Through a few easy steps you will be on your way, Extract the zip file RIDCCommon.zip to the WebCenter Portal Application file structure (PortalApp) Open you Portal Application in JDeveloper (PS4/PS5) select to open the project in your application - this will add the project as a member of the application Update the Portal project dependencies to include the new RIDCCommon project Make sure that you WebCenter Content Server connection is marked as primary (a checkbox at the top of the connection properties form) You should by this stage have a similar structure in your JDeveloper Application Project Portal Project PortalWebAssets Project RIDCCommon Since the API is coming with some example operations that has already been exposed as DataControl actions, if you open Data Controls accordion you should see following: How do I implement my own operation? Create a new Java Class in for example com.oracle.ateam.portal.ridc.operation call it (GetDocInfoOperation) Extend the abstract class com.oracle.ateam.portal.ridc.operation.RIDCAbstractOperation and implement the interface com.oracle.ateam.portal.ridc.operation.IRIDCOperation The only method you actually are required to implement is execute(RIDCManager, IdcClient, IdcContext) The best practice to set object references for the operation is through the Constructor, example below public GetDocInfoOperation(String dDocName)By leveraging the constructor you can easily force the implementing class to pass right information, you can also overload the Constructor with more or less parameters as required Implement the execute method, the work you supposed to execute here is creating a new request binder and retrieve a response binder with the information in the request binder.In this case the dDocName for which we want the DocInfo Secondly you have to process the response binder by extracting the information you need from the request and restore this information in a simple POJO Java BeanIn the example below we do this in private void processResult(DataBinder responseData) - the new SearchDataObject is a Member of the GetDocInfoOperation so we can return this from a access method. Since the RIDCCommon API leverage template pattern for the operations you are now required to add a method that will enable access to the result after the execution of the operationIn the example below we added the method public SearchDataObject getDataObject() - this method returns the pre processed SearchDataObject from the execute method  This is it, as you can see on the code below you do not need more than 32 lines of very simple code 1: public class GetDocInfoOperation extends RIDCAbstractOperation implements IRIDCOperation { 2: private static final String DOC_INFO_BY_NAME = "DOC_INFO_BY_NAME"; 3: private String dDocName = null; 4: private SearchDataObject sdo = null; 5: 6: public GetDocInfoOperation(String dDocName) { 7: super(); 8: this.dDocName = dDocName; 9: } 10:   11: public boolean execute(RIDCManager manager, IdcClient client, 12: IdcContext userContext) throws Exception { 13: DataBinder dataBinder = createNewRequestBinder(DOC_INFO_BY_NAME); 14: dataBinder.putLocal(DocumentAttributeDef.NAME.getName(), dDocName); 15: 16: DataBinder responseData = getResponseBinder(dataBinder); 17: processResult(responseData); 18: return true; 19: } 20: 21: private void processResult(DataBinder responseData) { 22: DataResultSet rs = responseData.getResultSet("DOC_INFO"); 23: for(DataObject dobj : rs.getRows()) { 24: this.sdo = new SearchDataObject(dobj); 25: } 26: super.setMessage(responseData.getLocal(ATTR_MESSAGE)); 27: } 28: 29: public SearchDataObject getDataObject() { 30: return this.sdo; 31: } 32: } How do I execute my operation? In the previous section we described how to create a operation, so by now you should be ready to execute the operation Step one either add a method to the class  com.oracle.ateam.portal.datacontrol.ContentServicesDC or a class of your own choiceRemember the RIDCManager is a very light object and can be created where needed Create a method signature look like this public SearchDataObject getDocInfo(String dDocName) throws Exception In the method body - create a new instance of GetDocInfoOperation and meet the constructor requirements by passing the dDocNameGetDocInfoOperation docInfo = new GetDocInfoOperation(dDocName) Execute the operation via the RIDCManager instance rMgr.executeOperation(docInfo) Return the result by accessing it from the executed operationreturn docInfo.getDataObject() 1: private RIDCManager rMgr = null; 2: private String lastOperationMessage = null; 3:   4: public ContentServicesDC() { 5: super(); 6: this.rMgr = new RIDCManager(); 7: } 8: .... 9: public SearchDataObject getDocInfo(String dDocName) throws Exception { 10: GetDocInfoOperation docInfo = new GetDocInfoOperation(dDocName); 11: boolean boolVal = rMgr.executeOperation(docInfo); 12: lastOperationMessage = docInfo.getMessage(); 13: return docInfo.getDataObject(); 14: }   Get the binaries! The enclosed code in a example that can be used as a reference on how to consume and leverage similar use cases, user has to guarantee appropriate quality and support.  Download link: https://blogs.oracle.com/ATEAM_WEBCENTER/resource/stefan.krantz/RIDCCommon.zip RIDC API Referencehttp://docs.oracle.com/cd/E23943_01/apirefs.1111/e17274/toc.htm

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  • The Case for Gnome Shell

    <b>WorksWithU:</b> "A couple weeks ago, I wrote some posts on GNOME Shell which included a number of criticisms of the desktop environment that will likely become Ubuntu'S default at some point in the future. Jon McCann, lead designer for GNOME Shell, recently got in touch to offer his responses to the problems I found with the new interface"

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  • Uses for Cartesian Products in MS Access

    Less well known than inner and outer joins is the Cartesian product, which produces every possible combination of records between the two tables. Doug Steele offers four examples to demonstrate some legitimate uses for Cartesian products.

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