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  • New Whitepaper - Exalogic Virtualization Architecture

    - by Javier Puerta
    One of the key enhancements in the current generation of Oracle Exalogic systems—and the focus of this whitepaper—is Oracle’s incorporation of virtualized InfiniBand I/O interconnects using Single Root I/O Virtualization (SR-IOV) technology to permit the system to share the internal InfiniBand network and storage fabric between as many as 63 virtual machines per physical server node with near-native performance simultaneously allowing both high performance and high workload consolidation. Download it here: An Oracle White Paper - November 2012- Oracle Exalogic Elastic Cloud: Advanced I/O Virtualization Architecture for Consolidating High-Performance Workloads

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  • JSP Model 2 Architecture and Dependency Injection

    - by Robert
    If I'm writing a web application that uses the model 2 architecture, is it possible to use the Google Guice framework (or really any IoC container)? The reason I ask this question is because everything I've researched about DI, IoC, et cetera always uses Spring, Hibernate or some other framework/container in their examples. I'm just using Java classes, controllers, and JSP's to build this application and I can't find any good documentation about the subject.

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  • Application Integration Architecture – Bringing It All Together - Part 1

    Oracle's Application Integration Architecture (AIA) provides Oracle customers,prospects and partners with the capability to more easily integrate and orchestrate information and transactions across multiple systems. Learn more about Oracle AIA and get an update on new and planned integrations from Jose Lazares,Vice President, Oracle Applications Development.

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  • Application Integration Architecture – Bringing It All Together - Part 2

    Oracle's Application Integration Architecture (AIA) provides Oracle customers,prospects and partners with the capability to more easily integrate and orchestrate information and transactions across multiple systems. Learn more about Oracle AIA and get an update on new and planned integrations from Jose Lazares,Vice President, Oracle Applications Development.

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  • Enterprise VS Regular corporate developer

    - by Rick Ratayczak
    Ok, I "almost" lost a job offer because I "didn't have enough experience as an enterprise software engineer". I've been a programmer for over 16 years, and the last 12-14 professionally, at companies big and small. So this made me think of this question: What's the difference between a software engineer and an enterprise software engineer? Is there really a difference between software architecture and enterprise architecture? BTW: I try to do what every other GOOD software programmer does, like architecture, tdd, SDLC, etc.

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  • Migrating a WebLogic Domain from a 32 to a 64 bit JVM/Architecture

    - by adejuanc
    Currently on 32 bit OS which presents a physical constraint when trying to allocate memory. By limit, a 32 bit OS, will not be able to allocate more than 3 GB on a Linux environment, or 2 GB for Windows environment (not considering Physical Address Extension (PAE) implementation, which can increase the maximum allocatable memory). When this limit is reached, a migration to a 64 bit architecture is recommended. Below are the steps on how to install a 64 WebLogic Server version, along with a 64 Bit JVM and then how to migrate the domain to this new environment. Weblogic Server Version: WebLogic Server Version: 10.3.4.0 OS: Linux adejuan-cl.cl.oracle.com 2.6.18-194.el5 #1 SMP Mon Jan 01 22:10:29 EDT 2010 x86_64 x86_64 x86_64 GNU/Linux JVM:java version "1.6.0_22" Java(TM) SE Runtime Environment (build 1.6.0_22-b04) Oracle JRockit(R) (build R28.1.1-13-139783-1.6.0_22-20101206-0136-linux-x86_64, compiled mode) To create migration template: 1. Execute $<WLS_HOME>/wlserver_10.3/common/bin/config_builder.sh 2. Create Domain Template. 3. Select Domain to migrate. 4. Enter the name of template and other info. Click next. 5. Using Add Button, Select libraries you want to add under lib folder. copy jdbc data sources you would like to have under config/jdbc folder. If you want to have log4j configuration, copy log4j.xml under domain_root folder. 6. Select data base for the domain and click next. 7. Enter Admin Server Name and port numbers. Click next. 8. Enter username and password. Click next. Select No if you don want to add users/groups/roles 9. Click next until reach button create. This will create a jar file that is needed for the next action plan. To install and migrate domain to 64 bit architecture. 1. Install JVM Jrockit R28.1.1.13 on environment. (uncompress zip folder on a known location) 2. Go to JRockit_Home/bin and execute $ java -d64 -jar wls1034_generic.jar 3. When prompt, select JRockit JVM in browse menu, and wait for installation to finish. 4. Go to <WLS_HOME>/wlserver_10.3/common/bin and execute $ ./config.sh 5. Select Create a new Weblogic domain 6. Select Base this domain on an existing template and select browse. 7. Select jar file created on previous action plan. 8. Select Name of domain. Maintain in most cases. 9. Select user name and password. Maintain in most cases. 10. Select Jrockit SDK 1.6.0_22 and click next. 11. Confirm all JMS/JDBC/security configuration. 12. On select Optional Configuration, reconfigure if necessary. 13. Check on Configuration summary for all domain configuration. 14. Click on create, to finish up domain import. Note: Always when installing a 64 bit WLS, it's necessary to install first the 64 JVM and then run the generic installer with the -d64 bit option. If this is not performed, the installation will be the 32 default version. For more information, please refer: http://download.oracle.com/docs/cd/E13188_01/jrockit/docs50/dev_faq.html#pae

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  • Validation and authorization in layered architecture

    - by SonOfPirate
    I know you are thinking (or maybe yelling), "not another question asking where validation belongs in a layered architecture?!?" Well, yes, but hopefully this will be a little bit of a different take on the subject. I am a firm believer that validation takes many forms, is context-based and varies at each level of the architecture. That is the basis for the post - helping to identify what type of validation should be performed in each layer. In addition, a question that often comes up is where authorization checks belong. The example scenario comes from an application for a catering business. Periodically during the day, a driver may turn in to the office any excess cash they've accumulated while taking the truck from site to site. The application allows a user to record the 'cash drop' by collecting the driver's ID, and the amount. Here's some skeleton code to illustrate the layers involved: public class CashDropApi // This is in the Service Facade Layer { [WebInvoke(Method = "POST")] public void AddCashDrop(NewCashDropContract contract) { // 1 Service.AddCashDrop(contract.Amount, contract.DriverId); } } public class CashDropService // This is the Application Service in the Domain Layer { public void AddCashDrop(Decimal amount, Int32 driverId) { // 2 CommandBus.Send(new AddCashDropCommand(amount, driverId)); } } internal class AddCashDropCommand // This is a command object in Domain Layer { public AddCashDropCommand(Decimal amount, Int32 driverId) { // 3 Amount = amount; DriverId = driverId; } public Decimal Amount { get; private set; } public Int32 DriverId { get; private set; } } internal class AddCashDropCommandHandler : IHandle<AddCashDropCommand> { internal ICashDropFactory Factory { get; set; } // Set by IoC container internal ICashDropRepository CashDrops { get; set; } // Set by IoC container internal IEmployeeRepository Employees { get; set; } // Set by IoC container public void Handle(AddCashDropCommand command) { // 4 var driver = Employees.GetById(command.DriverId); // 5 var authorizedBy = CurrentUser as Employee; // 6 var cashDrop = Factory.CreateCashDrop(command.Amount, driver, authorizedBy); // 7 CashDrops.Add(cashDrop); } } public class CashDropFactory { public CashDrop CreateCashDrop(Decimal amount, Employee driver, Employee authorizedBy) { // 8 return new CashDrop(amount, driver, authorizedBy, DateTime.Now); } } public class CashDrop // The domain object (entity) { public CashDrop(Decimal amount, Employee driver, Employee authorizedBy, DateTime at) { // 9 ... } } public class CashDropRepository // The implementation is in the Data Access Layer { public void Add(CashDrop item) { // 10 ... } } I've indicated 10 locations where I've seen validation checks placed in code. My question is what checks you would, if any, be performing at each given the following business rules (along with standard checks for length, range, format, type, etc): The amount of the cash drop must be greater than zero. The cash drop must have a valid Driver. The current user must be authorized to add cash drops (current user is not the driver). Please share your thoughts, how you have or would approach this scenario and the reasons for your choices.

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  • Benefits of TOGAF or similar?

    - by Lunatik
    I can read the website blurb and be impressed by the alleged benefits, but I haven't worked anywhere or with anyone who followed the TOGAF (or any alternative) architecture framework. Our organisation has declared itself dedicated to moving from what is currently a fairly shambolic design & development model towards something approaching a modern structured process. Things like TOGAF have been mentioned as helping achieve a world-class enterprise development environment (!) but I'm convinced that no-one here really understands the real-world benefits that wholesale adoption might bring and, perhaps more importantly, the effort/pain required to achieve the same. Do you have experience in using TOGAF or similar to wrestle control in an organisation? Do you think that use of the framework brought any benefit? Edit: For clarification TOGAF is "The Open Group Architecture Framework", a detailed method and set of tools for developing an enterprise architecture. See: http://www.opengroup.org/architecture/togaf8-doc/arch/

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  • How to model and handle presentation DTO's to abstract from complicated domain model?

    - by arrages
    Hi I am developing an application that needs to work with a complex domain model using Hibernate. This application uses Spring MVC and using the domain objects in the presentation layer is very messy so I think I should use DTO's that go to and from my service layer so that these match what I need in my views. Now lets assume I have a CarLease entity whose properties are not simple java primitives but it's composed with other entities like Make, Model, etc public class CarLease { private Make make; Private Model model; . . . } most properties are in this fashion and they are selectable using drop down selects on the jsp view, each will post back an ID to the controller. Now considering some standard use cases: create, edit, display How would you go about modeling the presentation DTO's to be used as form backing objects and communication between presentation and service layers?? Would you create a different DTO for each case (create, edit, display), would you make DTO's for the complex attributes? if so where would you translate the ID to entity? how and where would you handle validation, DTO/Domain assembly, what would you return from service layer methods? (create, edit, get) As you can see, I now I will benefit by separating my view from the domain objects (very complex with lots of stuff I don't need.) but I am having a hard time finding any real world examples and best practices for this. I need some architecture guidance from top to bottom, please keep in mind I will use Spring MVC in case that may leverage on your anwser. thanks in advance.

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  • BizTalk Server 2009 - Architecture Options

    - by StuartBrierley
    I recently needed to put forward a proposal for a BizTalk 2009 implementation and as a part of this needed to describe some of the basic architecture options available for consideration.  While I already had an idea of the type of environment that I would be looking to recommend, I felt that presenting a range of options while trying to explain some of the strengths and weaknesses of those options was a good place to start.  These outline architecture options should be equally valid for any version of BizTalk Server from 2004, through 2006 and R2, up to 2009.   The following diagram shows a crude representation of the common implementation options to consider when designing a BizTalk environment.         Each of these options provides differing levels of resilience in the case of failure or disaster, with the later options also providing more scope for performance tuning and scalability.   Some of the options presented above make use of clustering. Clustering may best be described as a technology that automatically allows one physical server to take over the tasks and responsibilities of another physical server that has failed. Given that all computer hardware and software will eventually fail, the goal of clustering is to ensure that mission-critical applications will have little or no downtime when such a failure occurs. Clustering can also be configured to provide load balancing, which should generally lead to performance gains and increased capacity and throughput.   (A) Single Servers   This option is the most basic BizTalk implementation that should be considered. It involves the deployment of a single BizTalk server in conjunction with a single SQL server. This configuration does not provide for any resilience in the case of the failure of either server. It is however the cheapest and easiest to implement option of those available.   Using a single BizTalk server does not provide for the level of performance tuning that is otherwise available when using more than one BizTalk server in a cluster.   The common edition of BizTalk used in single server implementations is the standard edition. It should be noted however that if future demand requires increased capacity for a solution, this BizTalk edition is limited to scaling up the implementation and not scaling out the number of servers in use. Any need to scale out the solution would require an upgrade to the enterprise edition of BizTalk.   (B) Single BizTalk Server with Clustered SQL Servers   This option uses a single BizTalk server with a cluster of SQL servers. By utilising clustered SQL servers we can ensure that there is some resilience to the implementation in respect of the databases that BizTalk relies on to operate. The clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition. While this option offers improved resilience over option (A) it does still present a potential single point of failure at the BizTalk server.   Using a single BizTalk server does not provide for the level of performance tuning that is otherwise available when using more than one BizTalk server in a cluster.   The common edition of BizTalk used in single server implementations is the standard edition. It should be noted however that if future demand requires increased capacity for a solution, this BizTalk edition is limited to scaling up the implementation and not scaling out the number of servers in use. You are also unable to take advantage of multiple message boxes, which would allow us to balance the SQL load in the event of any bottlenecks in this area of the implementation. Any need to scale out the solution would require an upgrade to the enterprise edition of BizTalk.   (C) Clustered BizTalk Servers with Clustered SQL Servers   This option makes use of a cluster of BizTalk servers with a cluster of SQL servers to offer high availability and resilience in the case of failure of either of the server types involved. Clustering of BizTalk is only available with the enterprise edition of the product. Clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition.    The use of a BizTalk cluster also provides for the ability to balance load across the servers and gives more scope for performance tuning any implemented solutions. It is also possible to add more BizTalk servers to an existing cluster, giving scope for scaling out the solution as future demand requires.   This might be seen as the middle cost option, providing a good level of protection in the case of failure, a decent level of future proofing, but at a higher cost than the single BizTalk server implementations.   (D) Clustered BizTalk Servers with Clustered SQL Servers – with disaster recovery/service continuity   This option is similar to that offered by (C) and makes use of a cluster of BizTalk servers with a cluster of SQL servers to offer high availability and resilience in case of failure of either of the server types involved. Clustering of BizTalk is only available with the enterprise edition of the product. Clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition.    As with (C) the use of a BizTalk cluster also provides for the ability to balance load across the servers and gives more scope for performance tuning the implemented solution. It is also possible to add more BizTalk servers to an existing cluster, giving scope for scaling the solution out as future demand requires.   In this scenario however, we would be including some form of disaster recovery or service continuity. An example of this would be making use of multiple sites, with the BizTalk server cluster operating across sites to offer resilience in case of the loss of one or more sites. In this scenario there are options available for the SQL implementation depending on the network implementation; making use of either one cluster per site or a single SQL cluster across the network. A multi-site SQL implementation would require some form of data replication across the sites involved.   This is obviously an expensive and complex option, but does provide an extraordinary amount of protection in the case of failure.

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  • Tom Kyte Webcast on Oracle Maximum Availability Architecture Best Practices - Thursday, April 12 @ 10:00 AM PDT

    - by jgelhaus
    Date: Thursday, April 12, 2012 Time: 10:00 AM PDT Update Your Knowledge with Oracle Expert Tom Kyte Data is one of the most critical assets of any organization with many operations depending on having complete and accurate data available 24/7. By implementing Oracle’s Maximum Availability Architecture (MAA), organizations can minimize the cost and risk associated with downtime. Oracle’s MAA best practices extend beyond Oracle Database to span a broad range of products, including Oracle Exadata and Oracle Database Appliance. Join Oracle expert Tom Kyte for this Live Webcast to learn how to: Protect your systems from planned and unplanned downtime Achieve the highest quality of service at the lowest cost Eliminate idle redundancy in the data center Register today and ask Tom your questions around availability best practices.

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  • Event system architecture for networking when performance is concerned

    - by Vandell
    How should I design a system for an action game (think in Golden Axe) where events can happen remotely? I'm using TCP for this because the client is in flash. There's so many options, I can make a binary protocol (I don't like this idea, I found it to be too hard to mantain) but I was also thinking that passing jsons through clients and server can be slow (Is that a exaggerated concern?). What about the internal architecture for the server? And for the client? I'm really lost, If it's a question that is too big, please indicate me some material so I can formulate a better question next time.

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  • CUDA 4.0 : sortie de la Release Candidate de l'architecture de calcul parallèle de NVIDIA

    CUDA 4.0 : sortie de la Release Candidate De l'architecture de calcul parallèle de NVIDIA La sortie cette semaine aux développeurs enregistrés de CUDA est l'accomplissement de milliers d'heures dédiées à ce projet. Cette technologie peut sembler jeune, sa première version, la 1.0, n'a été sortie qu'en 2007. L'effet de cette sortie sur le monde entier n'a, sans nul doute possible, pas été nul. Elle n'est pas non plus le seul terrain d'avance pour les technologies massivement parallèles sur matériel NVIDIA : les API comme OpenCL et DirectCompute sont elles aussi supportées et améliorées, en plus d'un accès direct au GPU en C, C++ et Fortran. Comme toujours, NVIDIA est à la recherch...

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  • Cloud Computing Architecture Patterns: Don’t Focus on the Client

    - by BuckWoody
    Normally I try to put topics in the positive in other words "Do this" not "Don't do that". Sometimes its clearer to focus on what *not* to do. Popular development processes often start with screen mockups, or user input descriptions. In a scale-out pattern like Cloud Computing on Windows Azure, that's the wrong place to start. Start with the Data    Instead, I recommend that you start with the data that a process requires. That data might be temporary or persisted, but starting with the data and its requirements helps to define not only the storage engine you need but also drives everything from security to the integrity of the application. For instance, assume the requirements show that the user must enter their phone number, and that this datum is used in a contact management system further down the application chain. For that datum, you can determine what data type you need (U.S. only or International?) the security requirements, whether it needs ACID compliance, how it will be searched, indexed and so on. From one small data point you can extrapolate out your options for storing and processing the data. Here's the interesting part, which begins to break the patterns that we've used for decades: all of the data doesn't have the same requirements. The phone number might be best suited for a list, or an element, or a string, with either BASE or ACID requirements, based on how it is used. That means we don't have to dump everything into XML, an RDBMS, a NoSQL engine, or a flat file exclusively. In fact, one record might use all of those depending on the use-case requirements. Next Is Data Management  With the data defined, we can move on to how to store the data. Again, the requirements now dictate whether we need a full relational calculus or set-based operations, or we can choose another method based on the requirements for the data. And breaking another pattern its OK to store in more than once, in more than one location. We do this all the time for reporting systems and Business Intelligence systems, so this is a pattern we need to think about even for OLTP data. Move to Data Transport How does the data get around? We can use a connection-based method, sending the data along a transport to the storage engine, but in some cases we may want to use a cache, a queue, the Service Bus, or Complex Event Processing. Finally, Data Processing Most RDBMS engines, NoSQL, and certainly Big Data engines not only store data, but can process and manipulate it as well. Its doubtful that you'll calculate that phone number right? Well, if you're the phone company, you most certainly will. And so we see that even once we've chosen the data type, storage and engine, the same element can have different computing requirements based on how it is used. Sure, We Need A Front-End At Some Point Not all data is entered by human hands in fact most data isn't. We don't really need a Graphical User Interface (GUI) we need some way for a GUI to get data into and out of the systems listed earlier.   But when we do need to allow users to enter or examine data, that should be left to the GUI that best fits the device the user has. Ever tried to use an application designed for a web browser on a phone? Or one designed for a tablet on a phone? Its usually quite painful. The siren song of "We'll just write one interface for all devices" is strong, and has beguiled many an unsuspecting architect. But they just don't work out.   Instead, focus on the data, its transport and processing. Create API calls or a message system that allows for resilient transport to the device or interface, and let it do what it does best. References Microsoft Architecture Journal:   http://msdn.microsoft.com/en-us/architecture/bb410935.aspx Patterns and Practices:   http://msdn.microsoft.com/en-us/library/ff921345.aspx Windows Azure iOS, Android, Windows 8 Mobile Devices SDK: http://www.windowsazure.com/en-us/develop/mobile/tutorials/get-started-ios/ Windows Azure Facebook SDK: http://ntotten.com/2013/03/14/using-windows-azure-mobile-services-with-the-facebook-sdk-for-windows-phone/

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  • OAGi Architecture Council OAGIS Ten Work Group Completes first round review of Concepts for OAGIS Te

    - by michael.rowell
    Today the OAGi Architecture Council OAGIS Ten Work group completed the first level review of concepts for existing content for OAGIS Ten. This is one of the first milestones for OAGIS Ten. In doing this the concepts of key objects (the Nouns) have been identified along with the key context for their use. While OAGIS Ten remains a work-in-process the work group shows progress. Going forward the other councils will provide additional input to these and there own concepts and the contexts for each. Additionally, sub groups will focus on concepts for given domains. Stay tuned for future progress. If anyone is interested in joining the effort. OAGi membership is open to anyone, please see the OAGi Web site.

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  • Looking for reading material on application architecture with web UI

    - by toong
    I'm looking for articles (or other reading material) on the topic of fat client applications with a web UI layer. Open-source projects that use this architecture would be very interesting too. Such an application would embed one (or more) browser-window(s) (chromiumembedded for example). You would need bidirectional communication between your web-UI and your domain model/services. I think this allows quick prototyping the UI, a clean separation between logic and UI and potentially easier portability across platforms (compared to WinForms for example). But that is just my view, I was looking for the view of people who have been on that road. An example of an application using a web-ui layer is Light Table. Unfortunately it is not open source (at this point?).

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  • Approach on Software Development Architecture

    - by john ryan
    Hi i am planning to standardize our way of creating project for our new projects. Currently we are using 3tier architecture where we have our ClassLibrary Project where it includes our Data Access Layer and Business Layer Something like: Solution ClassLibrary >ClassLibrary Project : >DAL(folder) > DAL Classes >BAL(folder) > BAL Classes And this Class Library dll was reference on our presentation Layer Project which are the Application(web/desktop) Something like: Solution WebUniversitySystem >Libraries(folder) > ClassLibrary.dll >WebUniversitySystem(Project): >Reference ClassLibrary.dll >Pages etc... Now i am planning to do is something like: Solution WebUniversitySystem >DataAccess(Project) >BusinesLayer(Project) >Reference DAL >WebUniversitySystem(Project): >Reference BAL >Pages etc... Is this Ok ? Or there is a good Approach that we can follow? Thanks In Regards

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  • Recommended reading for (Object Oriented) application design architecture?

    - by e4rthdog
    In life it doesnt matter if you do one thing for 15 years. You will end up waking one day and asking stuff that are equal to "how do i walk?" :) My specific question is that as a new entrant to C# and OOP i am stepping into many little "details" that need to be addressed. Written a lot of code in VB.NET / cobol / simple php e.t.c surely does not help much into the OOP world... So , even after reading entry level books for C# and watching some videos i recently found out about the "factory model design" for applications. I would appreciate if any of you guys recomment some reading on application design architecture for further reading...

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  • EPM Architecture: Foundation

    - by Marc Schumacher
    This post is the first of a series that is going to describe the EPM System architecture per component. During the following weeks a couple of follow up posts will describe each component. If applicable, the component will have its standard port next to its name in brackets. EPM Foundation is Java based and consists of two web applications, Shared Services and Workspace. Both applications are accessed by browser through Oracle HTTP Server (OHS) or Internet Information Services (IIS). Communication to the backend database is done by JDBC. The file system to store Lifecycle Management (LCM) artifacts can be either local or remote (e.g. NFS, network share). For authentication purposes, the EPM Product Suite can connect to external directories or databases. Interaction with other EPM Suite components like product specific Lifecycle Management connectors or Reporting and Analysis Web happens through HTTP protocol. The next post will cover Reporting and Analysis.

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  • AlwaysOn Architecture Guide: Building a High Availability and Disaster Recovery Solution by Using AlwaysOn Availability Groups

    SQL Server 2012 AlwaysOn Availability Groups provides a unified high availability and disaster recovery (HADR) solution that improves upon legacy functionality previously found across disparate features. Prior to SQL Server 2012, several customers used database mirroring to provide local high availability within a data center, and log shipping for disaster recovery across a remote data center. With SQL Server 2012, this common design pattern can be replaced with an architecture that uses availability groups for both high availability and disaster recovery. This paper details the key topology requirements of this specific design pattern, including quorum configuration considerations, steps required to build the environment, and a workflow that shows how to handle a disaster recovery event in the new topology.

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  • MAAS/Juju architecture and issues

    - by Massimo
    I recently deployed a MAAS/Juju environment based on a six nodes cluster, using Ubuntu 12.04 LTS, to run a "proof of concept". I could appreciate how interesting the architecture is, and I'd like to understand if I can really base my future business on this technology. Therefore I'd like to understand more about any involved limitations, constraints and necessities. In particular I'd like to understand: 1) how can MAAS be made reliable, i.e. deployed over two or more physical nodes able to fail-over ? 2) can the same physical cluster host multiple juju environments, under the assumption openstack/virtualization is not used ? 3) can the same physical node host different charms of the same juju environment, deployed in a standard, reliable way by juju ?

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  • Good architecture for user information on separate databases?

    - by James P. Wright
    I need to write an API to connect to an existing SQL database. The API will be written in ASP.Net MVC3. The slight problem is that with existing users of the system, they may have a username on multiple databases. Each company using the product gets a brand new instance of the database, but over the years (the system has been running for 10 years) there are quite a few users (hundreds) who have multiple usernames across multiple "companies" (things got fragmented obviously and sometimes a single Company has 5 "projects" that each have their own database). Long story short, I need to be able to have a single unified user login that will allow existing users to access their information across all their projects. The only thing I can think is storing a bunch of connection strings, but that feels like a really bad idea. I'll have a new Database that will hold the "unified user" information...can anyone suggest a solid system architecture that can handle a setup like this?

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