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  • deploying security enabled app to WLS - null Password Given Error

    - by raghu.yadav
    if you notice "null password given Error" while accessing the security enabled app deployed in wls, follow below instructions.set the property -Djps.app.credential.overwrite.allowed=true to JAVA_PROPERTIES env within setDomainEnv.sh also ensure you run server in development mode.edit setDomainEnv.sh and set -Dweblogic.ProductionModeEnabled=false and startup the servers, now you access the app and then shutdown server and revert the -Dweblogic.ProductionModeEnabled=false to -Dweblogic.ProductionModeEnabled=true that's it.

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  • Take Steps to Mitigate the Threat of Insiders

    - by Troy Kitch
    Register now for our upcoming Feb 23 Webcast The Insider Threat, Understand and Mitigate Your Risks. Insiders, by virtue of legitimate access to their organizations' information and IT infrastructure, pose a significant risk to employers. Employees, motivated by financial problems, greed, revenge, the desire to obtain a business advantage, or the wish to impress a new employer, have stolen confidential data, proprietary information, or intellectual property from their employers. Since this data typically resides in databases, organizations need to consider a database security defense in depth approach that takes into account preventive and detective controls to protect their data against abuse by insiders. Register now and learn about: Actual cases of insider cyber crimes Three primary types of insider cyber crimes: IT sabotage, theft of intellectual property (e.g. trade secrets), and employee fraud Lack of controls around data that allow these crimes to be successful Solutions to help secure data and database infrastructure

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  • JRockit Virtual Edition Debug Key

    - by changjae.lee
    There are a few keys that can help the debugging of the JRVE env in console. you can type in each keys in JRVE console to see what's happening under the hood. key '0' : System information key '5' : Enable shutdown key '7' : Start JRockit Management Server (port 7091) key '8' : Statistics Counters key '9' : Full Thread Dump key '0' : Status of Debug-key Below is the sample out from each keys. Debug-key '1' pressed ============ JRockitVE System Information ============ JRockitVE version : 11.1.1.3.0-67-131044 Kernel version : 6.1.0.0-97-131024 JVM version : R27.6.6-28_o-125824-1.6.0_17-20091214-2104-linux-ia32 Hypervisor version : Xen 3.4.0 Boot state : 0x007effff Uptime : 0 days 02:04:31 CPU : uniprocessor @2327 Mhz CPU usage : 0% ctx/s: 285 preempt/s: 0 migrations/s: 0 Physical pages : 82379/261121 (321/1020 MB) Network info : 10.179.97.64 (10.179.97.64/255.255.254.0) GateWay : 10.179.96.1 MAC address : 00:16:3e:7e:dc:78 Boot options : vfsCwd : /application/user_projects/domains/wlsve_domain mainArgs : java -javaagent:/jrockitve/services/sshd/sshd.jar -cp /jrockitve/jrockit/lib/tools.jar:/jrockitve/lib/common.jar:/application/patch_wls1032/profiles/default/sys_manifest_classpath/weblogic_patch.jar:/application/wlserver_10.3/server/lib/weblogic.jar -Dweblogic.Name=WlsveAdmin -Dweblogic.Domain=wlsve_domain -Dweblogic.management.username=weblogic -Dweblogic.management.password=welcome1 -Dweblogic.management.GenerateDefaultConfig=true weblogic.Server consLog : /jrockitve/log/jrockitve.log mounts : ext2 / dev0; posixLocale : en_US posixTimezone : Asia/Seoul posixEncoding : ISO-8859-1 Local disk : Size: 1024M, Used: 728M, Free: 295M ======================================================== Debug-key '5' pressed Shutdown enabled. Debug-key '7' pressed [JRockit] Management server already started. Ignoring request. Debug-key '8' pressed Starting stat recording Debug-key '8' pressed ========= Statistics Counters for the last second ========= dev.eth0_rx.cnt : 22 packets dev.eth0_rx_bytes.cnt : 2704 bytes dev.net_interrupts.cnt : 22 interrupts evt.timer_ticks.cnt : 123 ticks hyper.priv_entries.cnt : 144 entries schedule.context_switches.cnt : 271 switches schedule.idle_cpu_time.cnt : 997318849 nanoseconds schedule.idle_cpu_time_0.cnt : 997318849 nanoseconds schedule.total_cpu_time.cnt : 1000031757 nanoseconds time.system_time.cnt : 1000 ns time.timer_updates.cnt : 123 updates time.wallclock_time.cnt : 1000 ns ======================================= Debug-key '9' pressed ===== FULL THREAD DUMP =============== Fri Jun 4 08:22:12 2010 BEA JRockit(R) R27.6.6-28_o-125824-1.6.0_17-20091214-2104-linux-ia32 "Main Thread" id=1 idx=0x4 tid=1 prio=5 alive, in native, waiting -- Waiting for notification on: weblogic/t3/srvr/T3Srvr@0x646ede8[fat lock] at jrockit/vm/Threads.waitForNotifySignal(JLjava/lang/Object;)Z(Native Method) at java/lang/Object.wait(J)V(Native Method) at java/lang/Object.wait(Object.java:485) at weblogic/t3/srvr/T3Srvr.waitForDeath(T3Srvr.java:919) ^-- Lock released while waiting: weblogic/t3/srvr/T3Srvr@0x646ede8[fat lock] at weblogic/t3/srvr/T3Srvr.run(T3Srvr.java:479) at weblogic/Server.main(Server.java:67) at jrockit/vm/RNI.c2java(IIIII)V(Native Method) -- end of trace "(Signal Handler)" id=2 idx=0x8 tid=2 prio=5 alive, in native, daemon Open lock chains ================ Chain 1: "ExecuteThread: '0' for queue: 'weblogic.socket.Muxer'" id=23 idx=0x50 tid=20 waiting for java/lang/String@0x630c588 held by: "ExecuteThread: '1' for queue: 'weblogic.socket.Muxer'" id=24 idx=0x54 tid=21 (active) ===== END OF THREAD DUMP =============== Debug-key '0' pressed Debug-keys enabled Happy Cloud Walking :)

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  • The Latest JD Edwards World Technical Enhancements

    Tom Carrell, Principal Product Strategy Manager and Mike Jepkes, Senior Technical Development Manager for JD Edwards World products discuss with Cliff how customers can take full advantage of web enablement, service enablement along with many other new JD Edwards World technical enhancements.

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  • Task Flow Design Paper Revised

    - by Duncan Mills
    Thanks to some discussion over at the ADF Methodology Group and contributions from Simon Lessard and Jan Vervecken I have been able to make some refinements to the Task Flow Design Fundamentals paper on OTN.As a bonus, whilst I was making some edits anyway I've included some of Frank Nimphius's memory scope diagrams which are a really useful tool for understanding how request, view, backingBean and pageFlow scopes all fit together.

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  • Optimizing AES modes on Solaris for Intel Westmere

    - by danx
    Optimizing AES modes on Solaris for Intel Westmere Review AES is a strong method of symmetric (secret-key) encryption. It is a U.S. FIPS-approved cryptographic algorithm (FIPS 197) that operates on 16-byte blocks. AES has been available since 2001 and is widely used. However, AES by itself has a weakness. AES encryption isn't usually used by itself because identical blocks of plaintext are always encrypted into identical blocks of ciphertext. This encryption can be easily attacked with "dictionaries" of common blocks of text and allows one to more-easily discern the content of the unknown cryptotext. This mode of encryption is called "Electronic Code Book" (ECB), because one in theory can keep a "code book" of all known cryptotext and plaintext results to cipher and decipher AES. In practice, a complete "code book" is not practical, even in electronic form, but large dictionaries of common plaintext blocks is still possible. Here's a diagram of encrypting input data using AES ECB mode: Block 1 Block 2 PlainTextInput PlainTextInput | | | | \/ \/ AESKey-->(AES Encryption) AESKey-->(AES Encryption) | | | | \/ \/ CipherTextOutput CipherTextOutput Block 1 Block 2 What's the solution to the same cleartext input producing the same ciphertext output? The solution is to further process the encrypted or decrypted text in such a way that the same text produces different output. This usually involves an Initialization Vector (IV) and XORing the decrypted or encrypted text. As an example, I'll illustrate CBC mode encryption: Block 1 Block 2 PlainTextInput PlainTextInput | | | | \/ \/ IV >----->(XOR) +------------->(XOR) +---> . . . . | | | | | | | | \/ | \/ | AESKey-->(AES Encryption) | AESKey-->(AES Encryption) | | | | | | | | | \/ | \/ | CipherTextOutput ------+ CipherTextOutput -------+ Block 1 Block 2 The steps for CBC encryption are: Start with a 16-byte Initialization Vector (IV), choosen randomly. XOR the IV with the first block of input plaintext Encrypt the result with AES using a user-provided key. The result is the first 16-bytes of output cryptotext. Use the cryptotext (instead of the IV) of the previous block to XOR with the next input block of plaintext Another mode besides CBC is Counter Mode (CTR). As with CBC mode, it also starts with a 16-byte IV. However, for subsequent blocks, the IV is just incremented by one. Also, the IV ix XORed with the AES encryption result (not the plain text input). Here's an illustration: Block 1 Block 2 PlainTextInput PlainTextInput | | | | \/ \/ AESKey-->(AES Encryption) AESKey-->(AES Encryption) | | | | \/ \/ IV >----->(XOR) IV + 1 >---->(XOR) IV + 2 ---> . . . . | | | | \/ \/ CipherTextOutput CipherTextOutput Block 1 Block 2 Optimization Which of these modes can be parallelized? ECB encryption/decryption can be parallelized because it does more than plain AES encryption and decryption, as mentioned above. CBC encryption can't be parallelized because it depends on the output of the previous block. However, CBC decryption can be parallelized because all the encrypted blocks are known at the beginning. CTR encryption and decryption can be parallelized because the input to each block is known--it's just the IV incremented by one for each subsequent block. So, in summary, for ECB, CBC, and CTR modes, encryption and decryption can be parallelized with the exception of CBC encryption. How do we parallelize encryption? By interleaving. Usually when reading and writing data there are pipeline "stalls" (idle processor cycles) that result from waiting for memory to be loaded or stored to or from CPU registers. Since the software is written to encrypt/decrypt the next data block where pipeline stalls usually occurs, we can avoid stalls and crypt with fewer cycles. This software processes 4 blocks at a time, which ensures virtually no waiting ("stalling") for reading or writing data in memory. Other Optimizations Besides interleaving, other optimizations performed are Loading the entire key schedule into the 128-bit %xmm registers. This is done once for per 4-block of data (since 4 blocks of data is processed, when present). The following is loaded: the entire "key schedule" (user input key preprocessed for encryption and decryption). This takes 11, 13, or 15 registers, for AES-128, AES-192, and AES-256, respectively The input data is loaded into another %xmm register The same register contains the output result after encrypting/decrypting Using SSSE 4 instructions (AESNI). Besides the aesenc, aesenclast, aesdec, aesdeclast, aeskeygenassist, and aesimc AESNI instructions, Intel has several other instructions that operate on the 128-bit %xmm registers. Some common instructions for encryption are: pxor exclusive or (very useful), movdqu load/store a %xmm register from/to memory, pshufb shuffle bytes for byte swapping, pclmulqdq carry-less multiply for GCM mode Combining AES encryption/decryption with CBC or CTR modes processing. Instead of loading input data twice (once for AES encryption/decryption, and again for modes (CTR or CBC, for example) processing, the input data is loaded once as both AES and modes operations occur at in the same function Performance Everyone likes pretty color charts, so here they are. I ran these on Solaris 11 running on a Piketon Platform system with a 4-core Intel Clarkdale processor @3.20GHz. Clarkdale which is part of the Westmere processor architecture family. The "before" case is Solaris 11, unmodified. Keep in mind that the "before" case already has been optimized with hand-coded Intel AESNI assembly. The "after" case has combined AES-NI and mode instructions, interleaved 4 blocks at-a-time. « For the first table, lower is better (milliseconds). The first table shows the performance improvement using the Solaris encrypt(1) and decrypt(1) CLI commands. I encrypted and decrypted a 1/2 GByte file on /tmp (swap tmpfs). Encryption improved by about 40% and decryption improved by about 80%. AES-128 is slighty faster than AES-256, as expected. The second table shows more detail timings for CBC, CTR, and ECB modes for the 3 AES key sizes and different data lengths. » The results shown are the percentage improvement as shown by an internal PKCS#11 microbenchmark. And keep in mind the previous baseline code already had optimized AESNI assembly! The keysize (AES-128, 192, or 256) makes little difference in relative percentage improvement (although, of course, AES-128 is faster than AES-256). Larger data sizes show better improvement than 128-byte data. Availability This software is in Solaris 11 FCS. It is available in the 64-bit libcrypto library and the "aes" Solaris kernel module. You must be running hardware that supports AESNI (for example, Intel Westmere and Sandy Bridge, microprocessor architectures). The easiest way to determine if AES-NI is available is with the isainfo(1) command. For example, $ isainfo -v 64-bit amd64 applications pclmulqdq aes sse4.2 sse4.1 ssse3 popcnt tscp ahf cx16 sse3 sse2 sse fxsr mmx cmov amd_sysc cx8 tsc fpu 32-bit i386 applications pclmulqdq aes sse4.2 sse4.1 ssse3 popcnt tscp ahf cx16 sse3 sse2 sse fxsr mmx cmov sep cx8 tsc fpu No special configuration or setup is needed to take advantage of this software. Solaris libraries and kernel automatically determine if it's running on AESNI-capable machines and execute the correctly-tuned software for the current microprocessor. Summary Maximum throughput of AES cipher modes can be achieved by combining AES encryption with modes processing, interleaving encryption of 4 blocks at a time, and using Intel's wide 128-bit %xmm registers and instructions. References "Block cipher modes of operation", Wikipedia Good overview of AES modes (ECB, CBC, CTR, etc.) "Advanced Encryption Standard", Wikipedia "Current Modes" describes NIST-approved block cipher modes (ECB,CBC, CFB, OFB, CCM, GCM)

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  • How To: Use Monitoring Rules and Policies

    - by Owen Allen
    One of Ops Center's most useful features is its asset monitoring capability. When you discover an asset - an operating system, say, or a server - a default monitoring policy is applied to it, based on the asset type. This policy contains rules that specify what properties are monitored and what thresholds are considered significant. Ops Center will send a notification if a monitored asset passes one of the specified thresholds. But sometimes you want different assets to be monitored in different ways. For example, you might have a group of mission-critical systems, for which you want to be notified immediately if their file system usage rises above a specific threshold. You can do so by creating a new monitoring policy and applying it to the group. You can also apply monitoring policies to individual assets, and edit them to meet the requirements of your environment. The Tuning Monitoring Rules and Policies How-To walks you through all of these procedures.

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  • Deloitte IFRS Seminar for Oil and Gas Industries

    - by Theresa Hickman
    What: Deloitte will be giving an educational program that explores IFRS in the Oil & Gas industry. This two-day event will be more of a technical training on how to implement IFRS from an accounting perspective where participants will work through journal entries. This training will provide CPE credits and include breakout sessions. They will cover the following IFRS topics: Derivatives & Financial Instruments Income Taxes Regulatory Update State of the Industry Asset Retirement Obligations Joint Ventures Revenue Recognition When: June 16 and 17, 2010 Where: Omni Houston Hotel (Houston, TX) To learn more and register for this exciting event, visit this webpage.

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  • Inverted schedctl usage in the JVM

    - by Dave
    The schedctl facility in Solaris allows a thread to request that the kernel defer involuntary preemption for a brief period. The mechanism is strictly advisory - the kernel can opt to ignore the request. Schedctl is typically used to bracket lock critical sections. That, in turn, can avoid convoying -- threads piling up on a critical section behind a preempted lock-holder -- and other lock-related performance pathologies. If you're interested see the man pages for schedctl_start() and schedctl_stop() and the schedctl.h include file. The implementation is very efficient. schedctl_start(), which asks that preemption be deferred, simply stores into a thread-specific structure -- the schedctl block -- that the kernel maps into user-space. Similarly, schedctl_stop() clears the flag set by schedctl_stop() and then checks a "preemption pending" flag in the block. Normally, this will be false, but if set schedctl_stop() will yield to politely grant the CPU to other threads. Note that you can't abuse this facility for long-term preemption avoidance as the deferral is brief. If your thread exceeds the grace period the kernel will preempt it and transiently degrade its effective scheduling priority. Further reading : US05937187 and various papers by Andy Tucker. We'll now switch topics to the implementation of the "synchronized" locking construct in the HotSpot JVM. If a lock is contended then on multiprocessor systems we'll spin briefly to try to avoid context switching. Context switching is wasted work and inflicts various cache and TLB penalties on the threads involved. If context switching were "free" then we'd never spin to avoid switching, but that's not the case. We use an adaptive spin-then-park strategy. One potentially undesirable outcome is that we can be preempted while spinning. When our spinning thread is finally rescheduled the lock may or may not be available. If not, we'll spin and then potentially park (block) again, thus suffering a 2nd context switch. Recall that the reason we spin is to avoid context switching. To avoid this scenario I've found it useful to enable schedctl to request deferral while spinning. But while spinning I've arranged for the code to periodically check or poll the "preemption pending" flag. If that's found set we simply abandon our spinning attempt and park immediately. This avoids the double context-switch scenario above. One annoyance is that the schedctl blocks for the threads in a given process are tightly packed on special pages mapped from kernel space into user-land. As such, writes to the schedctl blocks can cause false sharing on other adjacent blocks. Hopefully the kernel folks will make changes to avoid this by padding and aligning the blocks to ensure that one cache line underlies at most one schedctl block at any one time.

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  • Long Running Service Request or COLD CASE?

    - by chris.warticki
    What's going on? Why is it taking so long? Is anyone out there? Resolving Service Requests can seem to take forever. If your Service Request is taking more than a few days, moving into weeks or months, here are few things to consider.  Details here.  Comments welcome. -Chris Warticki twittering @cwarticki Join one of the Twibes - http://twibes.com/OracleSupport or http://twibes.com/MyOracleSupport

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  • Don't Miss What Procurement Experts Are Talking About. Join the Webcasts starting next week!

    - by LuciaC
    The Procurement team have three Advisor Webcasts scheduled in December with information about new features, tips and tricks and troubleshooting guidance. New Features and enhancements Incorporated in the Procurement Rollup Patch 14254641:R12.PRC_PF.B December 4, 2012 at 14:00 London / 16:00 Egypt / 06:00 am Pacific / 7:00 am Mountain / 9:00 am EasternThis session is recommended for technical and functional users who need to know about the new features and enhancements incorporated in the Procurement Rollup Patch. Topics will include: GCPA Enable All Sites E-Mail PO - .LANGUAGE Read Only BWC Validate Document GBPA OSP Items GL Date Defaulting Cancel Refactoring Action History Cleanup Click here to register for this event. Approval Management Engine (AME) New Features, Setup and Use for Purchase Orders December 6, 2012 at 14:00 London / 16:00 Egypt / 06:00 am Pacific / 7:00 am Mountain / 9:00 am EasternThis is recommended for Functional Users and Application Technical Users who work in the Procurement Module including Purchasing and iProcurement and would like to know more about how to set up and use the Approval Management Engine (AME) for purchase orders.Topics will include: Scope and limitations of AME functionality for purchase orders Setup and use of AME for purchase orders PO Review and PO E-Sign new features Demonstration: Example of scenarios using the new features Click here to register for this event. How to Solve Approval Errors in Procurement December 18, 2012 at 4:00 pm Egypt / 2:00 pm London / 6:00 am Pacific / 7:00 am Mountain / 9:00 am EasternThis session is recommended for technical and functional users who need to know about how to diagnose and troubleshoot common Approval Errors.Topics will include: Basic mandatory setups for approvals of PO documents Differences between Purchase Order Approval and Requisition Approval Process. Troubleshooting of Approval Errors. Basic Setup of AME which can be used in Requisition Approval Process. Click here to register for this event. You can see a listing of all scheduled and archived webcasts from Doc ID 740966.1.  Select the product you are interested in (such as E-Business Suite Procurement) and this will take you to the webcast listing for the product.

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  • InfiniBand Enabled Diskless PXE Boot

    - by Neeraj Gupta
    If you ever need to bring up a computer with InfiniBand networking capabilities and diagnostic tools, without even going through any installation on its hard disk, then please read on. In this article, I am going to talk about how to boot a computer over the network using PXE and have IPoIB enabled. Of course, the computer must have a compatible InfiniBand Host Channel Adapter (HCA) installed and connected to your IB network already. [ Read More ]

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  • Nimbus Tweaking Help Needed

    - by Geertjan
    I was reading this new article on Synthetica and NetBeans RCP this morning, when I remembered this screenshot from Henry Arousell from Sweden: Here, Nimbus is heavily being used, highlighting 6 areas where Henry would really benefit from any help regarding how the foreground properties should be set: The color of the main menu (and its subsequent unfolded menu options) The TopComponent tab colors (as you can see from the screenshot, they've managed to change the foreground colors of the ones in the editor mode by setting the Nimbus property "TextText"). They cannot manipulate TopComponents in other modes, though. Table header foreground colors The foreground color of any provided composite component, like a JFileChooser or the ICEPdf viewer or any other panel with label components. The progress bar message color. The status bar message color, A Nimbus expert is needed to help here, though it seems to me that some of the solutions have already been identified, or are similar, in the article pointed out above.

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  • How Do You Make Your Animated GIFs?

    - by thatjeffsmith
    I get this question a lot. The question tells me a few things: you LIKE the animated GIFs here on thatjeffsmith – cool, I’ll keep doing more you want to make your own – awesome, I’m helping make the world a more animated place that’s pretty much it, I should have said a couple of things, oh well I use Camtasia Studio 7 from TechSmith A gif of me making a gif If you want a more official ‘answer’ to this question, the cool folks at Techsmith have their own blog post on the subject.

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  • GlassFish Clustering with DCOM on Windows

    - by ByronNevins
    DCOM - Distributed COM, a Microsoft protocol for communicating with Windows machines. Why use DCOM? In GlassFish 3.1 SSH is used as the standard way to run commands on remote nodes for clustering.  It is very difficult for users to get SSH configured properly on Windows.  SSH does not come with Windows so we have to depend on third party tools.  And then the user is forced to install and configure these tools -- which can be tricky. DCOM is available on all supported platforms.  It is built-in to Windows. The idea is to use DCOM to communicate with remote Windows nodes.  This has the huge advantage that the user has to do minimal, if any, configuration on the Windows nodes. Implementation HighlightsTwo open Source Libraries have been added to GlassFish: Jcifs – a SAMBA implementation in Java J-interop – A Java implementation for making DCOM calls to remote Windows computers.   Note that any supported platform can use DCOM to work with Windows nodes -- not just Windows.E.g. you can have a Linux DAS work with Windows remote instances.All existing SSH commands now have a corresponding DCOM command – except for setup-ssh which isn’t needed for DCOM.  validate-dcom is an all new command. New DCOM Commands create-node-dcom delete-node-dcom install-node-dcom list-nodes-dcom ping-node-dcom uninstall-node-dcom update-node-dcom validate-dcom setup-local-dcom (This is only available via Update Center for GlassFish 3.1.2) These commands are in-place in the trunk (4.0).  And in the branch (3.1.2) Windows Configuration Challenges There are an infinite number of possible configurations of Windows if you look at it as a combination of main release, service-pack, special drivers, software, configuration etc.  Later versions of Windows err on the side of tightening security be default.  This means that the Windows host may need to have configuration changes made.These configuration changes mostly need to be made by the user.  setup-local-dcom will assist you in making required changes to the Windows Registry.  See the reference blogs for details. The validate-dcom Command validate-dcom is a crucial command.  It should be run before any other commands.  If it does not run successfully then there is no point in running other commands.The validate-dcom command must be used from a DAS machine to test a different Windows machine.  If  validate-dcom runs successfully you can be confident that all the DCOM commands will work.  Conversely, the opposite is also true:  If validate-dcom fails, then no DCOM commands will work. What validate-dcom does Verify that the remote host is not the local machine. Resolves the remote host name Checks that the remote DCOM port is being listened on (135, 139) Checks that the remote host’s File Sharing is enabled (port 445) It copies a file (a script) to the remote host to verify that SAMBA is working and authorization is correct It runs a script that it copied on-the-fly to the remote host. Tips and Tricks The bread and butter commands that use DCOM are existing commands like create-instance, start-instance etc.   All of the commands that have dcom in their name are for dealing with the actual nodes. The way the software works is to call asadmin.bat on the remote machine and run a command.  This means that you can track these commands easily on the remote machine with the usual tools.  E.g. using AS_LOGFILE, looking at log files, etc.  It’s easy to attach a debugger to the remote asadmin process, “just in time”, if necessary. How to debug the remote commands:Edit the asadmin.bat file that is in the glassfish/bin folder.  Use glassfish/lib/nadmin.bat in GlassFish 4.0+Add these options to the java call:-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=1234  Now if you run, say start-instance on DAS, you can attach your debugger, at your leisure, to the remote machines port 1234.  It will be running start-local-instance and patiently waiting for you to attach.

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  • Protect Data and Save Money? Learn How Best-in-Class Organizations do Both

    - by roxana.bradescu
    Databases contain nearly two-thirds of the sensitive information that must be protected as part of any organization's overall approach to security, risk management, and compliance. Solutions for protecting data housed in databases vary from encrypting data at the application level to defense-in-depth protection of the database itself. So is there a difference? Absolutely! According to new research from the Aberdeen Group, Best-in-Class organizations experience fewer data breaches and audit deficiencies - at lower cost -- by deploying database security solutions. And the results are dramatic: Aberdeen found that organizations encrypting data within their databases achieved 30% fewer data breaches and 15% greater audit efficiency with 34% less total cost when compared to organizations encrypting data within applications. Join us for a live webcast with Derek Brink, Vice President and Research Fellow at the Aberdeen Group, next week to learn how your organization can become Best-in-Class.

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  • The Unspoken - The Why of GC Ergonomics

    - by jonthecollector
    Do you use GC ergonomics, -XX:+UseAdaptiveSizePolicy, with the UseParallelGC collector? The jist of GC ergonomics for that collector is that it tries to grow or shrink the heap to meet a specified goal. The goals that you can choose are maximum pause time and/or throughput. Don't get too excited there. I'm speaking about UseParallelGC (the throughput collector) so there are definite limits to what pause goals can be achieved. When you say out loud "I don't care about pause times, give me the best throughput I can get" and then say to yourself "Well, maybe 10 seconds really is too long", then think about a pause time goal. By default there is no pause time goal and the throughput goal is high (98% of the time doing application work and 2% of the time doing GC work). You can get more details on this in my very first blog. GC ergonomics The UseG1GC has its own version of GC ergonomics, but I'll be talking only about the UseParallelGC version. If you use this option and wanted to know what it (GC ergonomics) was thinking, try -XX:AdaptiveSizePolicyOutputInterval=1 This will print out information every i-th GC (above i is 1) about what the GC ergonomics to trying to do. For example, UseAdaptiveSizePolicy actions to meet *** throughput goal *** GC overhead (%) Young generation: 16.10 (attempted to grow) Tenured generation: 4.67 (attempted to grow) Tenuring threshold: (attempted to decrease to balance GC costs) = 1 GC ergonomics tries to meet (in order) Pause time goal Throughput goal Minimum footprint The first line says that it's trying to meet the throughput goal. UseAdaptiveSizePolicy actions to meet *** throughput goal *** This run has the default pause time goal (i.e., no pause time goal) so it is trying to reach a 98% throughput. The lines Young generation: 16.10 (attempted to grow) Tenured generation: 4.67 (attempted to grow) say that we're currently spending about 16% of the time doing young GC's and about 5% of the time doing full GC's. These percentages are a decaying, weighted average (earlier contributions to the average are given less weight). The source code is available as part of the OpenJDK so you can take a look at it if you want the exact definition. GC ergonomics is trying to increase the throughput by growing the heap (so says the "attempted to grow"). The last line Tenuring threshold: (attempted to decrease to balance GC costs) = 1 says that the ergonomics is trying to balance the GC times between young GC's and full GC's by decreasing the tenuring threshold. During a young collection the younger objects are copied to the survivor spaces while the older objects are copied to the tenured generation. Younger and older are defined by the tenuring threshold. If the tenuring threshold hold is 4, an object that has survived fewer than 4 young collections (and has remained in the young generation by being copied to the part of the young generation called a survivor space) it is younger and copied again to a survivor space. If it has survived 4 or more young collections, it is older and gets copied to the tenured generation. A lower tenuring threshold moves objects more eagerly to the tenured generation and, conversely a higher tenuring threshold keeps copying objects between survivor spaces longer. The tenuring threshold varies dynamically with the UseParallelGC collector. That is different than our other collectors which have a static tenuring threshold. GC ergonomics tries to balance the amount of work done by the young GC's and the full GC's by varying the tenuring threshold. Want more work done in the young GC's? Keep objects longer in the survivor spaces by increasing the tenuring threshold. This is an example of the output when GC ergonomics is trying to achieve a pause time goal UseAdaptiveSizePolicy actions to meet *** pause time goal *** GC overhead (%) Young generation: 20.74 (no change) Tenured generation: 31.70 (attempted to shrink) The pause goal was set at 50 millisecs and the last GC was 0.415: [Full GC (Ergonomics) [PSYoungGen: 2048K-0K(26624K)] [ParOldGen: 26095K-9711K(28992K)] 28143K-9711K(55616K), [Metaspace: 1719K-1719K(2473K/6528K)], 0.0758940 secs] [Times: user=0.28 sys=0.00, real=0.08 secs] The full collection took about 76 millisecs so GC ergonomics wants to shrink the tenured generation to reduce that pause time. The previous young GC was 0.346: [GC (Allocation Failure) [PSYoungGen: 26624K-2048K(26624K)] 40547K-22223K(56768K), 0.0136501 secs] [Times: user=0.06 sys=0.00, real=0.02 secs] so the pause time there was about 14 millisecs so no changes are needed. If trying to meet a pause time goal, the generations are typically shrunk. With a pause time goal in play, watch the GC overhead numbers and you will usually see the cost of setting a pause time goal (i.e., throughput goes down). If the pause goal is too low, you won't achieve your pause time goal and you will spend all your time doing GC. GC ergonomics is meant to be simple because it is meant to be used by anyone. It was not meant to be mysterious and so this output was added. If you don't like what GC ergonomics is doing, you can turn it off with -XX:-UseAdaptiveSizePolicy, but be pre-warned that you have to manage the size of the generations explicitly. If UseAdaptiveSizePolicy is turned off, the heap does not grow. The size of the heap (and the generations) at the start of execution is always the size of the heap. I don't like that and tried to fix it once (with some help from an OpenJDK contributor) but it unfortunately never made it out the door. I still have hope though. Just a side note. With the default throughput goal of 98% the heap often grows to it's maximum value and stays there. Definitely reduce the throughput goal if footprint is important. Start with -XX:GCTimeRatio=4 for a more modest throughput goal (%20 of the time spent in GC). A higher value means a smaller amount of time in GC (as the throughput goal).

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  • The Social Business Thought Leaders - Steve Denning

    - by kellsey.ruppel
    How is the average organization doing? Not very well according to a number of recent books and reports. A few indicators provide quite a gloomy picture: Return on assets and invested capitals dropped to 25% of its value in 1965 in the entire US market (see The Shift Index by John Hagel) Firms are dying faster and faster with the average lifespan of companies listed in the S&P 500 index gone from 67 years in the 1920s to 15 years today (see Creative Disruption by Richard Foster) Employee engagement ratio, a high level indicator of an organization’s health proved to affect performance outcomes, does not exceed on average 20%-30% (see Employee Engagement, Gallup or The Engagement Gap, Towers Perrin) In one of the most enjoyable keynotes of the Social Business Forum 2012, Steve Denning (Author of Radical Management and Independent Management Consultant) explained why this is happening and especially what leaders should do to reverse the worrying trends. In this Social Business Thought Leaders series, we asked Steve to collapse some key suggestions in a 2 minutes video that we strongly recommend. Steve discusses traditional management - that set of principles and practices born in the early 20th century and largely inspired by thinkers such as Frederick Taylor and Henry Ford - as the main responsible for the declining performance of modern organizations. While so many things have changed in the last 100 or so years, most companies are in fact still primarily focused on maximizing profits and efficiency, cutting costs, coordinating individuals top-down through command and control. The issue is, in a knowledge intensive, customer centred, turbulent market like the one we are experiencing, similar concepts are not just alienating employees' passion but also destroying the last source of competitive differentiation left: creativity and the innovative potential. According to Steve Denning, in a phase change from old industrial to a creative, collaborative, knowledge economy, the answer is hidden in a whole new business ecosystem that puts the individual (both the employee and the customer) at the center of the organization. He calls this new paradigm Radical Management and in the video interview he articulates the huge challenges and amazing rewards our enterprises are facing during this inevitable transition.

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  • B2B - OSB Action Series

    - by Ramesh Nittur
    What are we planning 1. Why there is a synergy between OSB B2B integration. 2. Integrating OSB - B2B for a healthcare scenario 3. Various Integration pattern for OSB - B2B integration 4. Correlation of messages from OSB perspective 5. Correlation of messges from B2B perspective. 6. User experience in B2B, user experience in OSB.

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  • JSR updates - November 2013

    - by Heather VanCura
     This week has been a busy week for JCP participants! Ten JSRs related to the upcoming Java Standard Edition (Java SE) 8 release posted public reviews--four Public Reviews and six Maintenance Reviews.  All JSRs are operating under the latest version of the JCP program and have public feedback mechanisms and issue trackers.  Please review and comment on these JSRs--your input and participation is wanted and needed!  JSR 308, Annotations on Java Types, published a Public Review. This review closes 4 December. JSR 310, Date and Time API, published a Public Review. This review closes 4 December. JSR 335, Lambda Expressions for the Java Programming Language, published a Public Review. This review closes 4 December. JSR 337, Java SE 8 Release contents, published a Public Review.  This review closes 4 December. JSR 221, JDBC 4.0 API, published a Maintenance Review.  This review closes 4 December. JSR 199, Java Compiler API, published a Maintenance Review.  This review closes 4 December. JSR 160, Java Management Extensions Remote API, published a Maintenance Review.  This review closes 4 December. JSR 114, JDBC Rowset Implementations, published a Maintenance Review.  This review closes 4 December. JSR 3, Java Management Extensions Specification, published a Maintenance Review.  This review closes 4 December. JSR 206, Java API for XML Processing,  published a Maintenance Review.  This review closes 22 November. Two other JSRs also published recent updates:  JSR 354, Money and Currency API, published a Public Review.  This review closes 23 November.  JSR 107, JCACHE - Java Temporary Caching API, published a Proposed Final Draft.

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