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  • Connecting the Dots (.NET Business Connector)

    - by ssmantha
    Recently, one of my colleagues was experimenting with Reporting Server on DAX 2009, whenever he used to view a report in SQL Server Reporting Manager he was welcomed with an error: “Error during processing Ax_CompanyName report parameter. (rsReportParameterProcessingError)” The Event Log had the following entry: Dynamics Adapter LogonAs failed. Microsoft.Dynamics.Framework.BusinessConnector.Session.Exceptions.FatalSessionException at Microsoft.Dynamics.Framework.BusinessConnector.Session.DynamicsSession.HandleException(Stringmessage, Exception exception, HandleExceptionCallback callback) We later found out that this was due to incorrect Business Connector account, with my past experience I noticed this as a very common mistake people make during EP and Reporting Installations. Remember that the reports need to connect to the Dynamics Ax server to run the AxQueries., which needs to pass through the .NET Business Connector. To ensure everything works fine please note the following settings: 1) Your Report Server Service Account should be same as .NET Business Connector proxy account. 2) Ensure on the server which has Reporting Services installed, the client configuration utility for Business Connector points to correct proxy account. 3) And finally, the AX instance you are connecting to has Service account specified for .NET business connector. (administration –> Service accounts –> .NET Business Connector) These simple checkpoints can help in almost most of the Business Connector related  errors, which I believe is mostly due to incorrect configuration settings. Happy DAXing!!

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  • Going Inside the Store

    - by David Dorf
    Location was the first "killer-tech" for smartphones, and innovators have found several ways to use it. For retail, apps exist to find nearby stores, provide coupons, and give directions to the front door. But once you enter the store, location-finding ceases to work. That's because your location is usually found by finding GPS satellites in they sky, and the store's roof blocks the signal. But it won't take technology long to solve that problem. The first problem to solve is a lack of indoor maps. Navteq and others provide very accurate maps of the outdoors, enabling navigation for cars and pedestrians. Micello is building a business creating digital maps of indoor locations like malls, convention centers, office buildings. They have over 500 live maps, including maps of IKEA stores. They claim it took them only four hours to create a map of the Stanford Shopping Center in Palo Alto with its 1.4 million square feet and 140 retail stores. And within stores, retailers are producing more accurate plan-o-grams. I'm always impressed watching demos of our space planning from AVT. It uses CAD software to allow you to walk the virtual store and see products on the shelves. The second problem is being able to determine location inside the store so it can be overlayed on the map. There are several goals for this endeavor. Your smartphone might direct you straight to particular products, it might summon a sales associate to your location for immediate assistance, and it might send you coupons based on the aisle you're viewing. Companies like Nearbuy, ZuluTime, and Skyhook are working to master indoor location using a combination of GPS signals, WiFi, and cell tower positioning to calculate a location. (Skyhook calls this WPS, as depicted in the chart.) Today they can usually hit 10 meters accuracy, but that number is improving all the time. When it gets inside 3 meters some the goals mentioned earlier will be in easy reach. I for one can't wait until the time my iPhone leads me directly to the sprinkler heads in Lowes and Home Depot.

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  • First JSRs Proposed for Java EE 7

    - by Jacob Lehrbaum
    With the approval of Java SE 7 and Java SE 8 JSRs last month, attention is now shifting towards the Java EE platform.  While functionality pegged for Java EE 7 was previewed at least as early as Devoxx, the filing of these JSRs marks the first, officially proposed, specifications for the next generation of the popular application server standard.  Let's take a quick look at the proposed new functionality.Java Persistence API 2.1The first of the new proposed specifications is JSR 338: Java Persistence API (JPA) 2.1. JPA is designed for use with both Java EE and Java SE and: "deals with the way relational data is mapped to Java objects ("persistent entities"), the way that these objects are stored in a relational database so that they can be accessed at a later time, and the continued existence of an entity's state even after the application that uses it ends. In addition to simplifying the entity persistence model, the Java Persistence API standardizes object-relational mapping." (more about JPA)JAX-RS 2.0The second of the new Java specifications that have been proposed is JSR 339, otherwise known as JAX-RS 2.0. JAX-RS provides an API that enables the easy creation of web services using the Representational State Transfer (REST) architecture.  Key features proposed in the new JSR include a Client API, improved support for URIs, a Model-View-Controller architecture and much more!More informationOfficial proposal for Java Persistence 2.1 (jcp.org)Official proposal for JAX-RS 2.0 (jcp.org)Kicking off Java EE 7 with 2 JSRs: JAX-RS 2.0 / JPA 2.1 (the Aquarium)

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  • JSR Updates and Inactive JSRs

    - by heathervc
     The following JSRs have made progress in the JCP program this week: JSR 342, Java Platform, Enterprise Edition 7 (Java EE 7) Specification, has posted an Early Draft 2 Review.  This review closes 30 November. JSR 338, Java Persistence 2.1, has posted an Early Draft 2 Review.  This review closes 30 November.  JSR 346, Contexts and Dependency Injection for Java, EE 1.1, has posted a Public Review.  This review closes 3 December.  JSR 352, Batch Applications for the Java Platform, has posted a Public Review.  This review closes 3 December. Inactive JSRs: In 2008, we initiated an effort to identify JSRs that had not continued to make progress in the JCP program.  We have reported on this topic since that time at JCP Executive Committee Meetings. The term 'Inactive JSRs' was introduced, and a process was developed with the guidance of the EC to reduce the number of Inactive JSRs  (reduced from over 60 to 2 JSRs) through either moving to the next JSR stage or being Withdrawn or declared Dormant.  This process has been formalized in JCP 2.8 and above, with the introduction of JSR deadlines.  The JSRs which were put to a Dormancy Ballot in September 2012  have been approved by the EC and are now declared Dormant.  You can view the results of the JSR Voting on JCP.org.  The latest Inactive JSRs report is available as part of the September 2012 JCP EC Face-to-Face Meeting Materials. 

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  • SSAS: Utility to check you have the correct data types and sizes in your cube definition

    - by DrJohn
    This blog describes a tool I developed which allows you to compare the data types and data sizes found in the cube’s data source view with the data types/sizes of the corresponding dimensional attribute.  Why is this important?  Well when creating named queries in a cube’s data source view, it is often necessary to use the SQL CAST or CONVERT operation to change the data type to something more appropriate for SSAS.  This is particularly important when your cube is based on an Oracle data source or using custom SQL queries rather than views in the relational database.   The problem with BIDS is that if you change the underlying SQL query, then the size of the data type in the dimension does not update automatically.  This then causes problems during deployment whereby processing the dimension fails because the data in the relational database is wider than that allowed by the dimensional attribute. In particular, if you use some string manipulation functions provided by SQL Server or Oracle in your queries, you may find that the 10 character string you expect suddenly turns into an 8,000 character monster.  For example, the SQL Server function REPLACE returns column with a width of 8,000 characters.  So if you use this function in the named query in your DSV, you will get a column width of 8,000 characters.  Although the Oracle REPLACE function is far more intelligent, the generated column size could still be way bigger than the maximum length of the data actually in the field. Now this may not be a problem when prototyping, but in your production cubes you really should clean up this kind of thing as these massive strings will add to processing times and storage space. Similarly, you do not want to forget to change the size of the dimension attribute if your database columns increase in size. Introducing CheckCubeDataTypes Utiltity The CheckCubeDataTypes application extracts all the data types and data sizes for all attributes in the cube and compares them to the data types and data sizes in the cube’s data source view.  It then generates an Excel CSV file which contains all this metadata along with a flag indicating if there is a mismatch between the DSV and the dimensional attribute.  Note that the app not only checks all the attribute keys but also the name and value columns for each attribute. Another benefit of having the metadata held in a CSV text file format is that you can place the file under source code control.  This allows you to compare the metadata of the previous cube release with your new release to highlight problems introduced by new development. You can download the C# source code from here: CheckCubeDataTypes.zip A typical example of the output Excel CSV file is shown below - note that the last column shows a data size mismatch by TRUE appearing in the column

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  • Preventing Users From Accessing wp-admin

    - by Gary Pendergast
    If you have a WordPress site that you allow people to sign up for, you often don’t want them to be able to access wp-admin. It’s not that there are any security issues, you just want to ensure that your users are accessing your site in a predictable manner.To block non-admin users from getting into wp-admin, you just need to add the following code to your functions.php, or somewhere similar:add_action( 'init', 'blockusers_init' );   function blockusers_init() { if ( is_admin() && ! current_user_can( 'administrator' ) ) { wp_redirect( home_url() ); exit; } }Ta-da! Now, only administrator users can access wp-admin, everyone else will be re-directed to the homepage.

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  • Creating a Successful Cloud Roadmap

    - by stephen.g.bennett
    No matter what type of cloud services or deployment models you are considering as part of your overall IT strategy, you must have a cloud services adoption roadmap to guide your journey. A cloud services adoption roadmap provides guidance that enables multiple projects to progress in parallel yet remain coordinated and ultimately result in a common end goal. The cloud services adoption roadmap consists of program-level efforts and a portfolio of cloud services. The program-level effort creates strategic assets such as the cloud architecture, cloud infrastructure, cloud governance, risk, and compliance (GRC) processes, and security policies that are leveraged across all the individual projects. A feature article on this topic can be found in the latest SOA and Cloud Magazine.

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  • How to Calculate TCP Socket Buffer Sizes for Data Guard Environments

    - by alejandro.vargas
    The MAA best practices contains an example of how to calculate the optimal TCP socket buffer sizes, that is quite important for very busy Data Guard environments, this document Formula to Calculate TCP Socket Buffer Sizes.pdf contains an example of using the instructions provided on the best practices document. In order to execute the calculation you need to know which is the band with or your network interface, usually will be 1Gb, on my example is a 10Gb network; and the round trip time, RTT, that is the time it takes for a packet to make a travel to the other end of the network and come back, on my example that was provided by the network administrator and was 3 ms (1000/seconds)

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  • Google Updates Picasa Web Albums; Emphasis on Sharing and Showcasing

    - by ETC
    Google has dusted off the Picasa Web interface and updated it with an emphasis on highlighting your photos and the photos of those you’re interested in. The new interface gives you speedy access to all the new photos you’ve uploaded and all the photos your friends, family, and others you’re following are sharing. Mixed in with that are popular photos from talented photographers across the service. It’s a nice change from the previously dull web interface and a definite step towards capturing some of the social power photo sharing site Flickr wields. Hit up the link below to read more. Showcasing Photos From People You Care About [The Official Google Photos Blog] Latest Features How-To Geek ETC Learn To Adjust Contrast Like a Pro in Photoshop, GIMP, and Paint.NET Have You Ever Wondered How Your Operating System Got Its Name? Should You Delete Windows 7 Service Pack Backup Files to Save Space? What Can Super Mario Teach Us About Graphics Technology? Windows 7 Service Pack 1 is Released: But Should You Install It? How To Make Hundreds of Complex Photo Edits in Seconds With Photoshop Actions Add a “Textmate Style” Lightweight Text Editor with Dropbox Syncing to Chrome and Iron Is the Forcefield Really On or Not? [Star Wars Parody Video] Google Updates Picasa Web Albums; Emphasis on Sharing and Showcasing Uwall.tv Turns YouTube into a Video Jukebox Early Morning Sunrise at the Beach Wallpaper Data Networks Visualized via Light Paintings [Video]

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  • Thank You MySQL Community! MySQL 5.6.9 Release Candidate Available Now!

    - by Rob Young
    The MySQL Community continues its good work in testing and refining MySQL 5.6, and as such the next iteration of the 5.6 Release Candidate is now available for download.  You can get MySQL 5.6.9 here (look under the "Development Releases" tab).  This version is the result of feedback we have gotten since MySQL 5.6.7 was announced at MySQL Connect in late September. As iron sharpens iron, Community feedback sharpens the quality and performance of MySQL so please download 5.6.9 and let us know how we can improve it as we move toward the production-ready product release in early 2013. MySQL 5.6 is designed to meet the agility demands of the next generation of web apps and services and includes across the board improvements to the Optimizer, InnoDB performance/scale and online DDL operations, self-healing Replication, Performance Schema Instrumentation, Security and developer enabling NoSQL functionality.  You can learn all the details and follow MySQL Engineering blogs on all of the key features in this MySQL DevZone article. On a related note, plan to join this week's live webinars to learn more about MySQL 5.6 Self-Healing Replication Clusters and Building the Next Generation of Web, Cloud, SaaS, Embedded Application and Services with MySQL 5.6.  Hurry!  Seating is limited!  As always, thanks for your continued support of MySQL!

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  • 64-bit Archives Needed

    - by user9154181
    A little over a year ago, we received a question from someone who was trying to build software on Solaris. He was getting errors from the ar command when creating an archive. At that time, the ar command on Solaris was a 32-bit command. There was more than 2GB of data, and the ar command was hitting the file size limit for a 32-bit process that doesn't use the largefile APIs. Even in 2011, 2GB is a very large amount of code, so we had not heard this one before. Most of our toolchain was extended to handle 64-bit sized data back in the 1990's, but archives were not changed, presumably because there was no perceived need for it. Since then of course, programs have continued to get larger, and in 2010, the time had finally come to investigate the issue and find a way to provide for larger archives. As part of that process, I had to do a deep dive into the archive format, and also do some Unix archeology. I'm going to record what I learned here, to document what Solaris does, and in the hope that it might help someone else trying to solve the same problem for their platform. Archive Format Details Archives are hardly cutting edge technology. They are still used of course, but their basic form hasn't changed in decades. Other than to fix a bug, which is rare, we don't tend to touch that code much. The archive file format is described in /usr/include/ar.h, and I won't repeat the details here. Instead, here is a rough overview of the archive file format, implemented by System V Release 4 (SVR4) Unix systems such as Solaris: Every archive starts with a "magic number". This is a sequence of 8 characters: "!<arch>\n". The magic number is followed by 1 or more members. A member starts with a fixed header, defined by the ar_hdr structure in/usr/include/ar.h. Immediately following the header comes the data for the member. Members must be padded at the end with newline characters so that they have even length. The requirement to pad members to an even length is a dead giveaway as to the age of the archive format. It tells you that this format dates from the 1970's, and more specifically from the era of 16-bit systems such as the PDP-11 that Unix was originally developed on. A 32-bit system would have required 4 bytes, and 64-bit systems such as we use today would probably have required 8 bytes. 2 byte alignment is a poor choice for ELF object archive members. 32-bit objects require 4 byte alignment, and 64-bit objects require 64-bit alignment. The link-editor uses mmap() to process archives, and if the members have the wrong alignment, we have to slide (copy) them to the correct alignment before we can access the ELF data structures inside. The archive format requires 2 byte padding, but it doesn't prohibit more. The Solaris ar command takes advantage of this, and pads ELF object members to 8 byte boundaries. Anything else is padded to 2 as required by the format. The archive header (ar_hdr) represents all numeric values using an ASCII text representation rather than as binary integers. This means that an archive that contains only text members can be viewed using tools such as cat, more, or a text editor. The original designers of this format clearly thought that archives would be used for many file types, and not just for objects. Things didn't turn out that way of course — nearly all archives contain relocatable objects for a single operating system and machine, and are used primarily as input to the link-editor (ld). Archives can have special members that are created by the ar command rather than being supplied by the user. These special members are all distinguished by having a name that starts with the slash (/) character. This is an unambiguous marker that says that the user could not have supplied it. The reason for this is that regular archive members are given the plain name of the file that was inserted to create them, and any path components are stripped off. Slash is the delimiter character used by Unix to separate path components, and as such cannot occur within a plain file name. The ar command hides the special members from you when you list the contents of an archive, so most users don't know that they exist. There are only two possible special members: A symbol table that maps ELF symbols to the object archive member that provides it, and a string table used to hold member names that exceed 15 characters. The '/' convention for tagging special members provides room for adding more such members should the need arise. As I will discuss below, we took advantage of this fact to add an alternate 64-bit symbol table special member which is used in archives that are larger than 4GB. When an archive contains ELF object members, the ar command builds a special archive member known as the symbol table that maps all ELF symbols in the object to the archive member that provides it. The link-editor uses this symbol table to determine which symbols are provided by the objects in that archive. If an archive has a symbol table, it will always be the first member in the archive, immediately following the magic number. Unlike member headers, symbol tables do use binary integers to represent offsets. These integers are always stored in big-endian format, even on a little endian host such as x86. The archive header (ar_hdr) provides 15 characters for representing the member name. If any member has a name that is longer than this, then the real name is written into a special archive member called the string table, and the member's name field instead contains a slash (/) character followed by a decimal representation of the offset of the real name within the string table. The string table is required to precede all normal archive members, so it will be the second member if the archive contains a symbol table, and the first member otherwise. The archive format is not designed to make finding a given member easy. Such operations move through the archive from front to back examining each member in turn, and run in O(n) time. This would be bad if archives were commonly used in that manner, but in general, they are not. Typically, the ar command is used to build an new archive from scratch, inserting all the objects in one operation, and then the link-editor accesses the members in the archive in constant time by using the offsets provided by the symbol table. Both of these operations are reasonably efficient. However, listing the contents of a large archive with the ar command can be rather slow. Factors That Limit Solaris Archive Size As is often the case, there was more than one limiting factor preventing Solaris archives from growing beyond the 32-bit limits of 2GB (32-bit signed) and 4GB (32-bit unsigned). These limits are listed in the order they are hit as archive size grows, so the earlier ones mask those that follow. The original Solaris archive file format can handle sizes up to 4GB without issue. However, the ar command was delivered as a 32-bit executable that did not use the largefile APIs. As such, the ar command itself could not create a file larger than 2GB. One can solve this by building ar with the largefile APIs which would allow it to reach 4GB, but a simpler and better answer is to deliver a 64-bit ar, which has the ability to scale well past 4GB. Symbol table offsets are stored as 32-bit big-endian binary integers, which limits the maximum archive size to 4GB. To get around this limit requires a different symbol table format, or an extension mechanism to the current one, similar in nature to the way member names longer than 15 characters are handled in member headers. The size field in the archive member header (ar_hdr) is an ASCII string capable of representing a 32-bit unsigned value. This places a 4GB size limit on the size of any individual member in an archive. In considering format extensions to get past these limits, it is important to remember that very few archives will require the ability to scale past 4GB for many years. The old format, while no beauty, continues to be sufficient for its purpose. This argues for a backward compatible fix that allows newer versions of Solaris to produce archives that are compatible with older versions of the system unless the size of the archive exceeds 4GB. Archive Format Differences Among Unix Variants While considering how to extend Solaris archives to scale to 64-bits, I wanted to know how similar archives from other Unix systems are to those produced by Solaris, and whether they had already solved the 64-bit issue. I've successfully moved archives between different Unix systems before with good luck, so I knew that there was some commonality. If it turned out that there was already a viable defacto standard for 64-bit archives, it would obviously be better to adopt that rather than invent something new. The archive file format is not formally standardized. However, the ar command and archive format were part of the original Unix from Bell Labs. Other systems started with that format, extending it in various often incompatible ways, but usually with the same common shared core. Most of these systems use the same magic number to identify their archives, despite the fact that their archives are not always fully compatible with each other. It is often true that archives can be copied between different Unix variants, and if the member names are short enough, the ar command from one system can often read archives produced on another. In practice, it is rare to find an archive containing anything other than objects for a single operating system and machine type. Such an archive is only of use on the type of system that created it, and is only used on that system. This is probably why cross platform compatibility of archives between Unix variants has never been an issue. Otherwise, the use of the same magic number in archives with incompatible formats would be a problem. I was able to find information for a number of Unix variants, described below. These can be divided roughly into three tribes, SVR4 Unix, BSD Unix, and IBM AIX. Solaris is a SVR4 Unix, and its archives are completely compatible with those from the other members of that group (GNU/Linux, HP-UX, and SGI IRIX). AIX AIX is an exception to rule that Unix archive formats are all based on the original Bell labs Unix format. It appears that AIX supports 2 formats (small and big), both of which differ in fundamental ways from other Unix systems: These formats use a different magic number than the standard one used by Solaris and other Unix variants. They include support for removing archive members from a file without reallocating the file, marking dead areas as unused, and reusing them when new archive items are inserted. They have a special table of contents member (File Member Header) which lets you find out everything that's in the archive without having to actually traverse the entire file. Their symbol table members are quite similar to those from other systems though. Their member headers are doubly linked, containing offsets to both the previous and next members. Of the Unix systems described here, AIX has the only format I saw that will have reasonable insert/delete performance for really large archives. Everyone else has O(n) performance, and are going to be slow to use with large archives. BSD BSD has gone through 4 versions of archive format, which are described in their manpage. They use the same member header as SVR4, but their symbol table format is different, and their scheme for long member names puts the name directly after the member header rather than into a string table. GNU/Linux The GNU toolchain uses the SVR4 format, and is compatible with Solaris. HP-UX HP-UX seems to follow the SVR4 model, and is compatible with Solaris. IRIX IRIX has 32 and 64-bit archives. The 32-bit format is the standard SVR4 format, and is compatible with Solaris. The 64-bit format is the same, except that the symbol table uses 64-bit integers. IRIX assumes that an archive contains objects of a single ELFCLASS/MACHINE, and any archive containing ELFCLASS64 objects receives a 64-bit symbol table. Although they only use it for 64-bit objects, nothing in the archive format limits it to ELFCLASS64. It would be perfectly valid to produce a 64-bit symbol table in an archive containing 32-bit objects, text files, or anything else. Tru64 Unix (Digital/Compaq/HP) Tru64 Unix uses a format much like ours, but their symbol table is a hash table, making specific symbol lookup much faster. The Solaris link-editor uses archives by examining the entire symbol table looking for unsatisfied symbols for the link, and not by looking up individual symbols, so there would be no benefit to Solaris from such a hash table. The Tru64 ld must use a different approach in which the hash table pays off for them. Widening the existing SVR4 archive symbol tables rather than inventing something new is the simplest path forward. There is ample precedent for this approach in the ELF world. When ELF was extended to support 64-bit objects, the approach was largely to take the existing data structures, and define 64-bit versions of them. We called the old set ELF32, and the new set ELF64. My guess is that there was no need to widen the archive format at that time, but had there been, it seems obvious that this is how it would have been done. The Implementation of 64-bit Solaris Archives As mentioned earlier, there was no desire to improve the fundamental nature of archives. They have always had O(n) insert/delete behavior, and for the most part it hasn't mattered. AIX made efforts to improve this, but those efforts did not find widespread adoption. For the purposes of link-editing, which is essentially the only thing that archives are used for, the existing format is adequate, and issues of backward compatibility trump the desire to do something technically better. Widening the existing symbol table format to 64-bits is therefore the obvious way to proceed. For Solaris 11, I implemented that, and I also updated the ar command so that a 64-bit version is run by default. This eliminates the 2 most significant limits to archive size, leaving only the limit on an individual archive member. We only generate a 64-bit symbol table if the archive exceeds 4GB, or when the new -S option to the ar command is used. This maximizes backward compatibility, as an archive produced by Solaris 11 is highly likely to be less than 4GB in size, and will therefore employ the same format understood by older versions of the system. The main reason for the existence of the -S option is to allow us to test the 64-bit format without having to construct huge archives to do so. I don't believe it will find much use outside of that. Other than the new ability to create and use extremely large archives, this change is largely invisible to the end user. When reading an archive, the ar command will transparently accept either form of symbol table. Similarly, the ELF library (libelf) has been updated to understand either format. Users of libelf (such as the link-editor ld) do not need to be modified to use the new format, because these changes are encapsulated behind the existing functions provided by libelf. As mentioned above, this work did not lift the limit on the maximum size of an individual archive member. That limit remains fixed at 4GB for now. This is not because we think objects will never get that large, for the history of computing says otherwise. Rather, this is based on an estimation that single relocatable objects of that size will not appear for a decade or two. A lot can change in that time, and it is better not to overengineer things by writing code that will sit and rot for years without being used. It is not too soon however to have a plan for that eventuality. When the time comes when this limit needs to be lifted, I believe that there is a simple solution that is consistent with the existing format. The archive member header size field is an ASCII string, like the name, and as such, the overflow scheme used for long names can also be used to handle the size. The size string would be placed into the archive string table, and its offset in the string table would then be written into the archive header size field using the same format "/ddd" used for overflowed names.

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  • New JavaScript Editor

    - by Petr
    I did not write a blog post here for a few weeks. I think the last my post was  about releasing NetBeans 7.1 in the beginning of January. The reason is not that I would change the job:), but that I have concentrated on new JavaScript support/editor. The new JavaScript editor is written basically from scratch. The answer for the question "Why from beginning again, why do you just improve the old one?" is not easy and the decision has more aspects. One of the main reasons is that the old support was written 4 years ago and the architecture is limited. Also during the time, the APIs were changed and it was very hard to keep the editor up to date. Also there is a license issue etc. In short, it is time to rewrite the old JS editor.  We build up strong community about the PHP support in NetBeans and because many PHP developers also write JavaScript code I would like to ask you for a help. There is a continual PHP build with the new JavaScript support. You can download the result of the builds here. It's a zip file. You can unzip the file anywhere, where you want. I recommend to run the build with the new userdir, to avoid damaging your current userdir. It shouldn't happened, but just to be sure:). You can achieve this through the switch --userdir. So start the unzipped file from command line from the folder, where you unzipped it, can be done with this command on unix: bin/netbeans.sh --userdir /path/to/new/userdir and on windows: bin\netbeans.exe --userdir D:\path\to\new\userdir For the developers who use continual php build already, it's well known. There is also full IDE build with the new JavaScript support for people, who need more than only PHP support.  Because the builds with the new JavaScript editor is created from a branch, there are not nightly builds available. They will be, when we merge the branch to the trunk, but so far we have to work only with the mentioned continual build. We will merge our branch after branching NetBeans 7.2 from trunk. This is also answer for the question, what release of NetBeans will contain the new JS support. It should be the release after NetBeans 7.2. I'm asking you whether you could play with the builds or better, could work in the builds with new JavaScript support and tell us every issue that you run in. It can be everything what doesn't fit you, something doesn't work as you expected, something is slow, you want change the behaviour of a feature etc. Your input / comments are very important for us and it will help us to achieve the new JavaScript support that you need.  The best way how to communicate issues is through our Bugzilla, because it is simple to track them. Sure you can write comment here:), but still I prefer Bugzilla for any issue. You can click here (you should be already log in Bugzilla), a form for the new JavaScript issue is opened, with pre-filled component Editor and NO72 keyword. I will write about the single features later, but now I will mentioned a few features that should work in better way than in the old support.  Syntactic and semantic colouring Navigator Mark Occurrences and GoTo Declaration  Code Completion Code Completion is invoked through keyboard shortcut CTRL+SPACE. The first invocation offers items that are found through a source model. Almost all editor features are based on the model, that is build from source code. There is a lot of work on the model yet, but it should offer better results. When the pop up window with code completion items is open and you press CTRL+SPACE again, then the code completion offers all elements that are in the project. In the pictures all elements that starts with letter 't'. Formatter with many options and more :) A few features are not still implemented that are supported in the old JavaScript support (for example jQuery support), but we are adding this features ASAP.

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  • Is there a clean separation of my layers with this attempt at Domain Driven Design in XAML and C#

    - by Buddy James
    I'm working on an application. I'm using a mixture of TDD and DDD. I'm working hard to separate the layers of my application and that is where my question comes in. My solution is laid out as follows Solution MyApp.Domain (WinRT class library) Entity (Folder) Interfaces(Folder) IPost.cs (Interface) BlogPosts.cs(Implementation of IPost) Service (Folder) Interfaces(Folder) IDataService.cs (Interface) BlogDataService.cs (Implementation of IDataService) MyApp.Presentation(Windows 8 XAML + C# application) ViewModels(Folder) BlogViewModel.cs App.xaml MainPage.xaml (Contains a property of BlogViewModel MyApp.Tests (WinRT Unit testing project used for my TDD) So I'm planning to use my ViewModel with the XAML UI I'm writing a test and define my interfaces in my system and I have the following code thus far. [TestMethod] public void Get_Zero_Blog_Posts_From_Presentation_Layer_Returns_Empty_Collection() { IBlogViewModel viewModel = _container.Resolve<IBlogViewModel>(); viewModel.LoadBlogPosts(0); Assert.AreEqual(0, viewModel.BlogPosts.Count, "There should be 0 blog posts."); } viewModel.BlogPosts is an ObservableCollection<IPost> Now.. my first thought is that I'd like the LoadBlogPosts method on the ViewModel to call a static method on the BlogPost entity. My problem is I feel like I need to inject the IDataService into the Entity object so that it promotes loose coupling. Here are the two options that I'm struggling with: Not use a static method and use a member method on the BlogPost entity. Have the BlogPost take an IDataService in the constructor and use dependency injection to resolve the BlogPost instance and the IDataService implementation. Don't use the entity to call the IDataService. Put the IDataService in the constructor of the ViewModel and use my container to resolve the IDataService when the viewmodel is instantiated. So with option one the layers will look like this ViewModel(Presentation layer) - Entity (Domain layer) - IDataService (Service Layer) or ViewModel(Presentation layer) - IDataService (Service Layer)

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  • Will Your Brand Survive the Age of Digital Darwinism?

    - by Christie Flanagan
    It’s the end of business as usual.  Trends such as the mobile web, social media, gamification and real-time are forcing businesses to rethink the way they operate.  At the same time, people are embracing a new digital culture across ever expanding networks.  Together, these trends have given rise to a new breed of connected consumer, one that is ready to shake the very foundation of business today.  This is the age of Digital Darwinism – where society and technology evolve faster than your ability to adapt.  How well poised is your brand to survive and thrive in this new environment? Attend this webcast to hear Altimeter Group digital analyst and futurist, Brian Solis, discuss the rise of connected consumerism and learn how brands can survive Digital Darwinism by better understanding customer expectations, disruptive technology, and the new opportunities that arise from them. You will learn: How brands are being redefined in the digital consumer landscape and what they can do to create and steer these experiences Why consumer influence is growing and how businesses can use this to their advantage How to connect with a rising audience through new touchpoints between consumers, brands, and influencers Why you need to create a culture of change to earn trust, influence and significance among today’s connected customers Register now.

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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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  • What version of webcenter do I have?

    - by angelo.santagata
    Ive seen this come up a few times, someone has webcenter installed, but isnt sure *exactly* which version of webcenter 11g they have installed.. Well its quite easy... Connect to sqplus as SYSDBA to the WebCenter database Run the following query to get the WebCenter schema: select username from all_users where username like '%WEBCENTER%'; Take note of the WebCenter username so you can use in next query. Run the following query to get the WebCenter version: Replace: - With the username from previous query. select version from .WC_REPOSITORY_VERSION; Also worth noting this is all documented in support note Note 1053606.1 available at metalink

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  • OS Analytics Post and Discussion

    - by Owen Allen
    Eran Steiner has written an interesting piece over on the Enterprise Manager blog about the OS Analytics feature of Ops Center. OS Analytics gives you a huge amount of information about the characteristics of managed operating systems and lets you track changes to these characteristics over time. Take a look; it's a useful feature. The OS Analytics feature is also the subject of the community call this week (Eran is leading that one too). It's at 11 am EST. To join the conference: Go to https://oracleconferencing.webex.com/oracleconferencing/j.php?ED=209833067&UID=1512092402&PW=NY2JhMmFjMmFh&RT=MiMxMQ%3D%3D If requested, enter your name and email address. If a password is required, enter the meeting password: oracle123 Click Join. To dial into the conference, dial 1-866-682-4770 (US/Canada) or go here for the numbers in other countries. The conference code is 7629343# and the security code is 7777#.

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  • Performance Enhancement in Full-Text Search Query

    - by Calvin Sun
    Ever since its first release, we are continuing consolidating and developing InnoDB Full-Text Search feature. There is one recent improvement that worth blogging about. It is an effort with MySQL Optimizer team that simplifies some common queries’ Query Plans and dramatically shorted the query time. I will describe the issue, our solution and the end result by some performance numbers to demonstrate our efforts in continuing enhancement the Full-Text Search capability. The Issue: As we had discussed in previous Blogs, InnoDB implements Full-Text index as reversed auxiliary tables. The query once parsed will be reinterpreted into several queries into related auxiliary tables and then results are merged and consolidated to come up with the final result. So at the end of the query, we’ll have all matching records on hand, sorted by their ranking or by their Doc IDs. Unfortunately, MySQL’s optimizer and query processing had been initially designed for MyISAM Full-Text index, and sometimes did not fully utilize the complete result package from InnoDB. Here are a couple examples: Case 1: Query result ordered by Rank with only top N results: mysql> SELECT FTS_DOC_ID, MATCH (title, body) AGAINST ('database') AS SCORE FROM articles ORDER BY score DESC LIMIT 1; In this query, user tries to retrieve a single record with highest ranking. It should have a quick answer once we have all the matching documents on hand, especially if there are ranked. However, before this change, MySQL would almost retrieve rankings for almost every row in the table, sort them and them come with the top rank result. This whole retrieve and sort is quite unnecessary given the InnoDB already have the answer. In a real life case, user could have millions of rows, so in the old scheme, it would retrieve millions of rows' ranking and sort them, even if our FTS already found there are two 3 matched rows. Apparently, the million ranking retrieve is done in vain. In above case, it should just ask for 3 matched rows' ranking, all other rows' ranking are 0. If it want the top ranking, then it can just get the first record from our already sorted result. Case 2: Select Count(*) on matching records: mysql> SELECT COUNT(*) FROM articles WHERE MATCH (title,body) AGAINST ('database' IN NATURAL LANGUAGE MODE); In this case, InnoDB search can find matching rows quickly and will have all matching rows. However, before our change, in the old scheme, every row in the table was requested by MySQL one by one, just to check whether its ranking is larger than 0, and later comes up a count. In fact, there is no need for MySQL to fetch all rows, instead InnoDB already had all the matching records. The only thing need is to call an InnoDB API to retrieve the count The difference can be huge. Following query output shows how big the difference can be: mysql> select count(*) from searchindex_inno where match(si_title, si_text) against ('people')  +----------+ | count(*) | +----------+ | 666877 | +----------+ 1 row in set (16 min 17.37 sec) So the query took almost 16 minutes. Let’s see how long the InnoDB can come up the result. In InnoDB, you can obtain extra diagnostic printout by turning on “innodb_ft_enable_diag_print”, this will print out extra query info: Error log: keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 2 secs: row(s) 666877: error: 10 ft_init() ft_init_ext() keynr=2, 'people' NL search Total docs: 10954826 Total words: 0 UNION: Searching: 'people' Processing time: 3 secs: row(s) 666877: error: 10 Output shows it only took InnoDB only 3 seconds to get the result, while the whole query took 16 minutes to finish. So large amount of time has been wasted on the un-needed row fetching. The Solution: The solution is obvious. MySQL can skip some of its steps, optimize its plan and obtain useful information directly from InnoDB. Some of savings from doing this include: 1) Avoid redundant sorting. Since InnoDB already sorted the result according to ranking. MySQL Query Processing layer does not need to sort to get top matching results. 2) Avoid row by row fetching to get the matching count. InnoDB provides all the matching records. All those not in the result list should all have ranking of 0, and no need to be retrieved. And InnoDB has a count of total matching records on hand. No need to recount. 3) Covered index scan. InnoDB results always contains the matching records' Document ID and their ranking. So if only the Document ID and ranking is needed, there is no need to go to user table to fetch the record itself. 4) Narrow the search result early, reduce the user table access. If the user wants to get top N matching records, we do not need to fetch all matching records from user table. We should be able to first select TOP N matching DOC IDs, and then only fetch corresponding records with these Doc IDs. Performance Results and comparison with MyISAM The result by this change is very obvious. I includes six testing result performed by Alexander Rubin just to demonstrate how fast the InnoDB query now becomes when comparing MyISAM Full-Text Search. These tests are base on the English Wikipedia data of 5.4 Million rows and approximately 16G table. The test was performed on a machine with 1 CPU Dual Core, SSD drive, 8G of RAM and InnoDB_buffer_pool is set to 8 GB. Table 1: SELECT with LIMIT CLAUSE mysql> SELECT si_title, match(si_title, si_text) against('family') as rel FROM si WHERE match(si_title, si_text) against('family') ORDER BY rel desc LIMIT 10; InnoDB MyISAM Times Faster Time for the query 1.63 sec 3 min 26.31 sec 127 You can see for this particular query (retrieve top 10 records), InnoDB Full-Text Search is now approximately 127 times faster than MyISAM. Table 2: SELECT COUNT QUERY mysql>select count(*) from si where match(si_title, si_text) against('family‘); +----------+ | count(*) | +----------+ | 293955 | +----------+ InnoDB MyISAM Times Faster Time for the query 1.35 sec 28 min 59.59 sec 1289 In this particular case, where there are 293k matching results, InnoDB took only 1.35 second to get all of them, while take MyISAM almost half an hour, that is about 1289 times faster!. Table 3: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county California 0.93 sec 32.03 sec 34.4 President united states of America 2.5 sec 36.98 sec 14.8 Table 4: SELECT title and text with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, si_title, si_text, ... as rel FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.61 sec 41.65 sec 68.3 family film 1.15 sec 47.17 sec 41.0 Pizza restaurant orange county california 1.03 sec 48.2 sec 46.8 President united states of america 2.49 sec 44.61 sec 17.9 Table 5: SELECT ID with ORDER BY and LIMIT CLAUSE for selected terms mysql> SELECT <ID>, match(si_title, si_text) against(<TERM>) as rel  FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) ORDER BY rel desc LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.5 sec 5.05 sec 10.1 family film 0.95 sec 25.39 sec 26.7 Pizza restaurant orange county califormia 0.93 sec 32.03 sec 34.4 President united states of america 2.5 sec 36.98 sec 14.8 Table 6: SELECT COUNT(*) mysql> SELECT count(*) FROM si_<TB> WHERE match(si_title, si_text) against (<TERM>) LIMIT 10; Term InnoDB (time to execute) MyISAM(time to execute) Times Faster family 0.47 sec 82 sec 174.5 family film 0.83 sec 131 sec 157.8 Pizza restaurant orange county califormia 0.74 sec 106 sec 143.2 President united states of america 1.96 sec 220 sec 112.2  Again, table 3 to table 6 all showing InnoDB consistently outperform MyISAM in these queries by a large margin. It becomes obvious the InnoDB has great advantage over MyISAM in handling large data search. Summary: These results demonstrate the great performance we could achieve by making MySQL optimizer and InnoDB Full-Text Search more tightly coupled. I think there are still many cases that InnoDB’s result info have not been fully taken advantage of, which means we still have great room to improve. And we will continuously explore the area, and get more dramatic results for InnoDB full-text searches. Jimmy Yang, September 29, 2012

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  • WebSocket Samples in GlassFish 4 build 66 - javax.websocket.* package: TOTD #190

    - by arungupta
    This blog has published a few blogs on using JSR 356 Reference Implementation (Tyrus) integrated in GlassFish 4 promoted builds. TOTD #183: Getting Started with WebSocket in GlassFish TOTD #184: Logging WebSocket Frames using Chrome Developer Tools, Net-internals and Wireshark TOTD #185: Processing Text and Binary (Blob, ArrayBuffer, ArrayBufferView) Payload in WebSocket TOTD #186: Custom Text and Binary Payloads using WebSocket TOTD #189: Collaborative Whiteboard using WebSocket in GlassFish 4 The earlier blogs created a WebSocket endpoint as: import javax.net.websocket.annotations.WebSocketEndpoint;@WebSocketEndpoint("websocket")public class MyEndpoint { . . . Based upon the discussion in JSR 356 EG, the package names have changed to javax.websocket.*. So the updated endpoint definition will look like: import javax.websocket.WebSocketEndpoint;@WebSocketEndpoint("websocket")public class MyEndpoint { . . . The POM dependency is: <dependency> <groupId>javax.websocket</groupId> <artifactId>javax.websocket-api</artifactId> <version>1.0-b09</version> </dependency> And if you are using GlassFish 4 build 66, then you also need to provide a dummy EndpointFactory implementation as: import javax.websocket.WebSocketEndpoint;@WebSocketEndpoint(value="websocket", factory=MyEndpoint.DummyEndpointFactory.class)public class MyEndpoint { . . .   class DummyEndpointFactory implements EndpointFactory {    @Override public Object createEndpoint() { return null; }  }} This is only interim and will be cleaned up in subsequent builds. But I've seen couple of complaints about this already and so this deserves a short blog. Have you been tracking the latest Java EE 7 implementations in GlassFish 4 promoted builds ?

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  • Print spooler consumes over 1GB of memory

    - by Stephen Jennings
    Suddenly, on a Windows Vista Business workstation I manage, the Windows print spooler service is consuming over 1GB of memory. I got the call this morning that the user could not print. I discovered all printers were missing from the Printers applet in Control Panel. I rebooted the machine, and at first the printers were still missing, but after a few minutes (and much banging my head against the wall) they suddenly appeared. I stopped worrying about it until later today it happened again to the same workstation. To my knowledge, nothing has changed on the computer. No new printers have been added, no new print drivers would have been installed, and no new software is being used. I tried clearing out the spooler folder (C:\Windows\System32\spooler\printers) which did have four print jobs from this morning, but the problem persists after restarting the spooler service. When starting the service, it starts out using 824 KB of memory, then after about 20 seconds it starts creeping up about 10MB each second until it stabilizes around 1.8GB.

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  • Transparent Technology from Amazon

    - by David Dorf
    Amazon has been making some interesting moves again, this time in the augmented humanity area.  Augmented humanity is about helping humans overcome their shortcomings using technology.  Putting a powerful smartphone in your pocket helps you in many ways like navigating streets, communicating with far off friends, and accessing information.  But the interface for smartphones is somewhat limiting and unnatural, so companies have been looking for ways to make the technology more transparent and therefore easier to use. When Apple helped us drop the stylus, we took a giant leap forward in simplicity.  Using touchscreens with intuitive gestures was part of the iPhone's original appeal.  People don't want to know that technology is there -- they just want the benefits.  So what's the next leap beyond the touchscreen to make smartphones even easier to use? Two natural ways we interact with the world around us is by using sight and voice.  Google and Apple have been using both in their mobile platforms for limited uses cases.  Nobody actually wants to type a text message, so why not just speak it?  Any if you want more information about a book, why not just snap a picture of the cover?  That's much more accurate than trying to key the title and/or author. So what's Amazon been doing?  First, Amazon released a new iPhone app called Flow that allows iPhone users to see information about products in context.  Yes, its an augmented reality app that uses the phone's camera to view products, and overlays data about the products on the screen.  For the most part it requires the barcode to be visible to correctly identify the product, but I believe it can also recognize certain logos as well.  Download the app and try it out but don't expect perfection.  Its good enough to demonstrate the concept, but its far from accurate enough.  (MobileBeat did a pretty good review.)  Extrapolate to the future and we might just have a heads-up display in our eyeglasses. The second interesting area is voice response, for which Siri is getting lots of attention.  Amazon may have purchased a voice recognition company called Yap, although the deal is not confirmed.  But it would make perfect sense, especially with the Kindle Fire in Amazon's lineup. I believe over the next 3-5 years the way in which we interact with smartphones will mature, and they will become more transparent yet more important to our daily lives.  This will, of course, impact the way we shop, making information more readily accessible than it already is.  Amazon seems to be positioning itself to be at the forefront of this trend, so we should be watching them carefully.

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  • Design for complex ATG applications

    - by Glen Borkowski
    Overview Needless to say, some ATG applications are more complex than others.  Some ATG applications support a single site, single language, single catalog, single currency, have a single development staff, single business team, and a relatively simple business model.  The real complex applications have to support multiple sites, multiple languages, multiple catalogs, multiple currencies, a couple different development teams, multiple business teams, and a highly complex business model (and processes to go along with it).  While it's still important to implement a proper design for simple applications, it's absolutely critical to do this for the complex applications.  Why?  It's all about time and money.  If you are unable to manage your complex applications in an efficient manner, the cost of managing it will increase dramatically as will the time to get things done (time to market).  On the positive side, your competition is most likely in the same situation, so you just need to be more efficient than they are. This article is intended to discuss a number of key areas to think about when designing complex applications on ATG.  Some of this can get fairly technical, so it may help to get some background first.  You can get enough of the required background information from this post.  After reading that, come back here and follow along. Application Design Of all the various types of ATG applications out there, the most complex tend to be the ones in the telecommunications industry - especially the ones which operate in multiple countries.  To get started, let's assume that we are talking about an application like that.  One that has these properties: Operates in multiple countries - must support multiple sites, catalogs, languages, and currencies The organization is fairly loosely-coupled - single brand, but different businesses across different countries There is some common functionality across all sites in all countries There is some common functionality across different sites within the same country Sites within a single country may have some unique functionality - relative to other sites in the same country Complex product catalog (mostly in terms of bundles, eligibility, and compatibility) At this point, I'll assume you have read through the required reading and have a decent understanding of how ATG modules work... Code / configuration - assemble into modules When it comes to defining your modules for a complex application, there are a number of goals: Divide functionality between the modules in a way that maps to your business Group common functionality 'further down in the stack of modules' Provide a good balance between shared resources and autonomy for countries / sites Now I'll describe a high level approach to how you could accomplish those goals...  Let's start from the bottom and work our way up.  At the very bottom, you have the modules that ship with ATG - the 'out of the box' stuff.  You want to make sure that you are leveraging all the modules that make sense in order to get the most value from ATG as possible - and less stuff you'll have to write yourself.  On top of the ATG modules, you should create what we'll refer to as the Corporate Foundation Module described as follows: Sits directly on top of ATG modules Used by all applications across all countries and sites - this is the foundation for everyone Contains everything that is common across all countries / all sites Once established and settled, will change less frequently than other 'higher' modules Encapsulates as many enterprise-wide integrations as possible Will provide means of code sharing therefore less development / testing - faster time to market Contains a 'reference' web application (described below) The next layer up could be multiple modules for each country (you could replace this with region if that makes more sense).  We'll define those modules as follows: Sits on top of the corporate foundation module Contains what is unique to all sites in a given country Responsible for managing any resource bundles for this country (to handle multiple languages) Overrides / replaces corporate integration points with any country-specific ones Finally, we will define what should be a fairly 'thin' (in terms of functionality) set of modules for each site as follows: Sits on top of the country it resides in module Contains what is unique for a given site within a given country Will mostly contain configuration, but could also define some unique functionality as well Contains one or more web applications The graphic below should help to indicate how these modules fit together: Web applications As described in the previous section, there are many opportunities for sharing (minimizing costs) as it relates to the code and configuration aspects of ATG modules.  Web applications are also contained within ATG modules, however, sharing web applications can be a bit more difficult because this is what the end customer actually sees, and since each site may have some degree of unique look & feel, sharing becomes more challenging.  One approach that can help is to define a 'reference' web application at the corporate foundation layer to act as a solid starting point for each site.  Here's a description of the 'reference' web application: Contains minimal / sample reference styling as this will mostly be addressed at the site level web app Focus on functionality - ensure that core functionality is revealed via this web application Each individual site can use this as a starting point There may be multiple types of web apps (i.e. B2C, B2B, etc) There are some techniques to share web application assets - i.e. multiple web applications, defined in the web.xml, and it's worth investigating, but is out of scope here. Reference infrastructure In this complex environment, it is assumed that there is not a single infrastructure for all countries and all sites.  It's more likely that different countries (or regions) could have their own solution for infrastructure.  In this case, it will be advantageous to define a reference infrastructure which contains all the hardware and software that make up the core environment.  Specifications and diagrams should be created to outline what this reference infrastructure looks like, as well as it's baseline cost and the incremental cost to scale up with volume.  Having some consistency in terms of infrastructure will save time and money as new countries / sites come online.  Here are some properties of the reference infrastructure: Standardized approach to setup of hardware Type and number of servers Defines application server, operating system, database, etc... - including vendor and specific versions Consistent naming conventions Provides a consistent base of terminology and understanding across environments Defines which ATG services run on which servers Production Staging BCC / Preview Each site can change as required to meet scale requirements Governance / organization It should be no surprise that the complex application we're talking about is backed by an equally complex organization.  One of the more challenging aspects of efficiently managing a series of complex applications is to ensure the proper level of governance and organization.  Here are some ideas and goals to work towards: Establish a committee to make enterprise-wide decisions that affect all sites Representation should be evenly distributed Should have a clear communication procedure Focus on high level business goals Evaluation of feature / function gaps and how that relates to ATG release schedule / roadmap Determine when to upgrade & ensure value will be realized Determine how to manage various levels of modules Who is responsible for maintaining corporate / country / site layers Determine a procedure for controlling what goes in the corporate foundation module Standardize on source code control, database, hardware, OS versions, J2EE app servers, development procedures, etc only use tested / proven versions - this is something that should be centralized so that every country / site does not have to worry about compatibility between versions Create a innovation team Quickly develop new features, perform proof of concepts All teams can benefit from their findings Summary At this point, it should be clear why the topics above (design, governance, organization, etc) are critical to being able to efficiently manage a complex application.  To summarize, it's all about competitive advantage...  You will need to reduce costs and improve time to market with the goal of providing a better experience for your end customers.  You can reduce cost by reducing development time, time allocated to testing (don't have to test the corporate foundation module over and over again - do it once), and optimizing operations.  With an efficient design, you can improve your time to market and your business will be more flexible  and agile.  Over time, you'll find that you're becoming more focused on offering functionality that is new to the market (creativity) and this will be rewarded - you're now a leader. In addition to the above, you'll realize soft benefits as well.  Your staff will be operating in a culture based on sharing.  You'll want to reward efforts to improve and enhance the foundation as this will benefit everyone.  This culture will inspire innovation, which can only lend itself to your competitive advantage.

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