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• Install and upgrade strategies for Oracle Enterprise Manager 12c - Upcoming Webcasts with live demos

  - by Anand Akela

  At Oracle Open World 2011, we launched the Oracle Enterprise Manager 12c , the only complete cloud management solution for your enterprise cloud. With the new release of Oracle Enterprise Manager Cloud Control 12c, the installation and upgrade process has been enhanced to provide a fast and smooth install experience. In the upcoming webcasts, Oracle Enterprise Manager experts will discuss the installation and upgrade strategies for Oracle Enterprise Manager Cloud Control 12c . These webcasts will include live demonstrations of the install and upgrade processes. In the Webcast on November 17th, we will cover the installation steps and provide recommendations to setup a new Oracle Enterprise Manager Cloud Control 12c environment. We'll also provide a live demonstration of the complete installation process.   Upgrading your Oracle Enterprise Manager environment can be a challenging and complex task especially with large environments consisting of hundreds or thousands of targets. In the webcast on November 18th, we'll describe key facts that administrators must know before upgrading their Enterprise Manager system as well as introduce the different approaches for an upgrade. We'll also walk you through the key steps for upgrading an existing Enterprise Manager 11g (or 10g) Grid Control to Oracle Enterprise Manager Cloud Control 12c. In addition to the live webcasts on Oracle Enterprise Manager Cloud Control 12c install and upgrade processes, please consider attending the replay of  Oracle Enterprise Manager Ops Center webcast with live Q&A . Schedule and registration links of upcoming webcasts  :- Topics Schedule Oracle Enterprise Manager Ops Center: Global Systems Management Made Easy (Replay) November 17 10 a.m PT December 1 10 a.m PT Oracle Enterprise Manager Cloud Control 12c Installation Overview November 17 8 a.m PT Upgrade Smoothly to Oracle Enterprise Manager Cloud Control 12c November 18 8 a.m PT For more information, please go to Oracle Enterprise Manager  web page or  follow us at :  Twitter   Facebook YouTube Linkedin

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• Oracle User Communities and Enterprise Manager

  - by Anand Akela

  Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Contributed by Joe Dimmer, Senior Business Development Manager, Oracle Enterprise Manager Heightened interest and adoption of Oracle Enterprise Manager has led to keen interest in “manageability” within the user group community.  In response, user groups are equipping their membership with the right tools for implementation and use manageability through education opportunities and Special Interest Groups.  Manageability is increasingly viewed not only as a means to enable the Oracle environment to become a competitive business advantage for organizations, but also as a means to advance the individual careers of those who embrace enterprise management.  Two Oracle user groups – the Independent Oracle User Group (IOUG) and the United Kingdom Oracle User Group (UKOUG) – each have Special Interest Groups where manageability is prominently featured.  There are also efforts underway to establish similarly charted SIGs that will be reported in future blogs.  The good news is, there’s a lot of news! First off, the IOUG will be hosting a Summer Series of live webcasts:  “Configuring and Managing a Private Cloud with Enterprise Manager 12c” by Kai Yu of Dell, Inc.              Wednesday, June 20th from Noon – 1 PM CDT , Click here for details & registration “What is User Experience Monitoring and What is Not? A case study of Oracle Global IT’s implementation of Enterprise Manager 12c and RUEI” by Eric Tran Le of Oracle            Wednesday, July 18th from Noon – 1 PM CDT , Click here for details & registration “Shed some light on the ‘bumps in the night’ with Enterprise Manager 12c” by David Start of Johnson Controls            Wednesday, August 22nd from Noon – 1 PM CDT, Click here for details & registration   In addition, the UKOUG Availability and Infrastructure Management (AIM) SIG is hosting its next meeting on Tuesday, July 3rd at the Met in Leeds where EM 12c Cloud Management will be presented.  Click here for details & registration.  In future posts from Joe, look for news related to the following: ·         IOUG Community Page and Newsletter devoted to manageability ·         Full day of manageability featured during Oracle OpenWorld 2012 “SIG Sunday” ·         Happenings from other regional User Groups that feature manageability Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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• Oracle Enterprise Manager 12c Integration With Oracle Enterprise Manager Ops Center 11g

  - by Scott Elvington

  In a blog entry earlier this year, we announced the availability of the Ops Center 11g plug-in for Enterprise Manager 12c. In this article I will walk you through the process of deploying the plug-in on your existing Enterprise Manager agents and show you some of the capabilities the plug-in provides. We'll also look at the integration from the Ops Center perspective. I will show you how to set up the connection to Enterprise Manager and give an overview of the information that is available. Installing and Configuring the Ops Center Plug-in The plug-in is available for download from the Self Update page (Setup ? Extensibility ? Self Update). The plug-in name is “Ops Center Infrastructure stack”. Once you have downloaded the plug-in you can navigate to the Plug-In management page (Setup ? Extensibility ? Plug-ins) to begin deployment. The plug-in must first be deployed on the Management Server. You will need to provide the repository password of the SYS user in order to deploy the plug-in to the Management Server. There are a few pre-requisites that need to be completed on the Ops Center side before the plug-in can be deployed and configured on the desired Enterprise Manager agents. Any servers, whether physical or virtual, for which you wish to see metrics and alerts need to be managed by Ops Center. This means that the Operating System needs to have an Ops Center management agent installed as a minimum. The plug-in can provide even more value when Ops Center is also managing the other “layers of the stack”, for example the service processor, the blade chassis or the XSCF of an M-Series server. The more information that Ops Center has about the stack, the more information that will be visible within Enterprise Manager via the plug-in. In order to access the information within Ops Center, the plug-in requires a user to connect as. This user does not require any particular Ops Center permissions or roles, it simply needs to exist. You can create a specific “EMPlugin” user within Ops Center or use an existing user. Oracle recommends creating a specific, non-privileged user account within Ops Center for this purpose. From the Ops Center Administration section, select Enterprise Controller, click the Users tab and finally click the Add User icon to create the desired user account. For the purpose of this article I have discovered and managed the OS and service processor of the server where my Enterprise Manager 12c installation is hosted. With the plug-in deployed to the Management Server and the setup done within Ops Center, we're now ready to deploy the plug-in to the agents and configure the targets to communicate with the Ops Center Enterprise Controller. From the Setup menu select Add Targets then Add Targets Manually. Select the bottom radio button “Add Targets Manually by Specifying Target Monitoring Properties”, select Infrastructure Stack from the Target Type dropdown and finally, select the Monitoring Agent where you wish to deploy the plug-in. Click the Add Manually.... button and fill in the details for the new target using the appropriate hostname for your Enterprise Controller and the user and password details for the plug-in access user. After the target has been added to the agent you will need to allow a few minutes for the initial data collection to complete. Once completed you can see the new target in the All Targets list. All metric collections are enabled by default except one. To enable Infrastructure Stack Alarms collection, navigate to the newly added target and then to Target ? Monitoring ? Metric and Collection Settings. There you can click the “Disabled” link under Collection Schedule to enable collection and set your desired collection frequency. By default, a Warning level alert in Ops Center will equate to a Warning level event in Enterprise Manager and a Critical alert will equate to a Critical event. This mapping can be altered in the Metric and Collection Settings also. The default incident rules in Enterprise Manager only create incidents from Critical events so keep this in mind in case you want to see incidents generated for Warning or Info level alerts from Ops Center. Also, because Enterprise Manager already monitors the OS through it's Host target type, the plug-in does not pull OS alerts from Ops Center so as to prevent duplication. In addition to alert propagation, the plug-in also provides data for several reports detailing the topology and configuration of the stack as well as any hardware sensor data that is available. These are available from the Information Publisher Reports. Navigate there from the Enterprise ? Reports menu or directly from the Infrastructure Stack target of interest. As an example, here is a sample of the Hardware Sensors report showing some of the available sensor data. The report can also be exported to a CSV file format if desired. Connecting Ops Center to Enterprise Manager Repository For an Enterprise Manager user, the plug-in provides a deeper visibility to the state of the infrastructure underlying the databases and middleware. On the Ops Center side, there is also a greater visibility to the targets running on the infrastructure. To set up the Ops Center data collection, just navigate to the Administration section and select the Grid Control link. Select the Configure/Connect action from the right-hand menu and complete the wizard forms to enable the connection to the Enterprise Manager repository and UI. Be sure to use the sysman account when configuring the database connection. Once the job completes and the initial data synchronization is done you will see new Target tabs on your OS assets. The new tab lists all the Enterprise Manager targets and any alerts, availability and performance data specific to the selected target. It is also possible to use the GoTo icon to launch the Enterprise Manager BUI in context of the specific target or alert to drill into more detail. Hopefully this brief overview of the integration between Enterprise Manager and Ops Center has provided a jumpstart to getting a more complete view of the full stack of your enterprise systems.

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• Japan Welcomes Oracle Enterprise Manager 12c

  - by Anand Akela

  Following Oracle’s grand unveiling of Oracle Enterprise Manager 12c at Oracle OpenWorld 2011 in San Francisco, Oracle Japan just completed their launch for the product. Leng Tan, Oracle VP of Products, delivered the keynote with collaboration from a number of key partners in the region. From left to right: Leng Tan, VP of Products, Oracle; Shinyashiki-san, Assistant General Manager, NEC; Fuketa-san, General Manager, HITACHI; Fujii-san, General Manager, Fujitsu; Misawa-san, VP of Alliances, Oracle Japan NEC, Hitachi and Fujitsu have been among Oracle’s most active partners in the Japan region. They have received key awards from Oracle Japan for their efforts. NEC received the partner of the year award for 2010 and 2011. Hitachi received the partner of the year award for Oracle Enterprise Manager in 2011. Fujitsu received awards in the areas of Database and Oracle Exadata in 2011. All three partners were active participants in Oracle Enterprise Manager 12c beta program. According to Hirai-san, the technical lead at the event, there were over 200 attendees. “The event was so well-attended; there was no room to stand.” Said Hirai-san. Hirai-san demonstrating Oracle Enterprise Manager 12c at the Oracle Japan launch Here’s the highlight of the presentations made by the Oracle partners during this launch. NEC has developed an Oracle Enterprise Manager Plug-in for iStorage (NEC SAN Storage product). Additionally, NEC’s WebSAM Invariant Analyzer management tool is now capable of integrating with Oracle Enterprise Manager HITACHI demonstrated monitoring capabilities for Oracle Exadata through Oracle Enterprise Manager in their JP1 system management tool Fujitsu’s Oracle Enterprise Manager 10g adapter for their SystemWalker tool has now been enhanced to work with Oracle Enterprise Manager 12c. Following a very successful launch in Japan, Oracle’s Total Cloud Control road show and additional Oracle Enterprise Manager 12c launches continue in the EMEA and Asia Pacific regions. This week Sushil Kumar, VP of Product Strategy and Business Development is scheduled to deliver the keynotes at several cities in India. Also this week, Richard Sarwal, SVP of Products, is scheduled to deliver a keynote at the DOAG conference in Nuremburg, Germany. Richard is also delivering the Oracle Enterprise Manger 12c launch event keynote in Paris on November 18th. Check out our event schedule for Oracle Enterprise Manager 12c events across the globe! For more information, please go to Oracle Enterprise Manager  web page or  follow us at :  Twitter   Facebook YouTube Linkedin

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• Fragmented Log files could be slowing down your database

  - by Fatherjack

  Something that is sometimes forgotten by a lot of DBAs is the fact that database log files get fragmented in the same way that you get fragmentation in a data file. The cause is very different but the effect is the same – too much effort reading and writing data. Data files get fragmented as data is changed through normal system activity, INSERTs, UPDATEs and DELETEs cause fragmentation and most experienced DBAs are monitoring their indexes for fragmentation and dealing with it accordingly. However, you don’t hear about so many working on their log files. How can a log file get fragmented? I’m glad you asked. When you create a database there are at least two files created on the disk storage; an mdf for the data and an ldf for the log file (you can also have ndf files for extra data storage but that’s off topic for now). It is wholly possible to have more than one log file but in most cases there is little point in creating more than one as the log file is written to in a ‘wrap-around’ method (more on that later). When a log file is created at the time that a database is created the file is actually sub divided into a number of virtual log files (VLFs). The number and size of these VLFs depends on the size chosen for the log file. VLFs are also created in the space added to a log file when a log file growth event takes place. Do you have your log files set to auto grow? Then you have potentially been introducing many VLFs into your log file. Let’s get to see how many VLFs we have in a brand new database. USE master GO CREATE DATABASE VLF_Test ON ( NAME = VLF_Test, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test.mdf', SIZE = 100, MAXSIZE = 500, FILEGROWTH = 50 ) LOG ON ( NAME = VLF_Test_Log, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test_log.ldf', SIZE = 5MB, MAXSIZE = 250MB, FILEGROWTH = 5MB ); go USE VLF_Test go DBCC LOGINFO; The results of this are firstly a new database is created with specified files sizes and the the DBCC LOGINFO results are returned to the script editor. The DBCC LOGINFO results have plenty of interesting information in them but lets first note there are 4 rows of information, this relates to the fact that 4 VLFs have been created in the log file. The values in the FileSize column are the sizes of each VLF in bytes, you will see that the last one to be created is slightly larger than the others. So, a 5MB log file has 4 VLFs of roughly 1.25 MB. Lets alter the CREATE DATABASE script to create a log file that’s a bit bigger and see what happens. Alter the code above so that the log file details are replaced by LOG ON ( NAME = VLF_Test_Log, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test_log.ldf', SIZE = 1GB, MAXSIZE = 25GB, FILEGROWTH = 1GB ); With a bigger log file specified we get more VLFs What if we make it bigger again? LOG ON ( NAME = VLF_Test_Log, FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL10.ROCK_2008\MSSQL\DATA\VLF_Test_log.ldf', SIZE = 5GB, MAXSIZE = 250GB, FILEGROWTH = 5GB ); This time we see more VLFs are created within our log file. We now have our 5GB log file comprised of 16 files of 320MB each. In fact these sizes fall into all the ranges that control the VLF creation criteria – what a coincidence! The rules that are followed when a log file is created or has it’s size increased are pretty basic. If the file growth is lower than 64MB then 4 VLFs are created If the growth is between 64MB and 1GB then 8 VLFs are created If the growth is greater than 1GB then 16 VLFs are created. Now the potential for chaos comes if the default values and settings for log file growth are used. By default a database log file gets a 1MB log file with unlimited growth in steps of 10%. The database we just created is 6 MB, let’s add some data and see what happens. USE vlf_test go -- we need somewhere to put the data so, a table is in order IF OBJECT_ID('A_Table') IS NOT NULL DROP TABLE A_Table go CREATE TABLE A_Table ( Col_A int IDENTITY, Col_B CHAR(8000) ) GO -- Let's check the state of the log file -- 4 VLFs found EXECUTE ('DBCC LOGINFO'); go -- We can go ahead and insert some data and then check the state of the log file again INSERT A_Table (col_b) SELECT TOP 500 REPLICATE('a',2000) FROM sys.columns AS sc, sys.columns AS sc2 GO -- insert 500 rows and we get 22 VLFs EXECUTE ('DBCC LOGINFO'); go -- Let's insert more rows INSERT A_Table (col_b) SELECT TOP 2000 REPLICATE('a',2000) FROM sys.columns AS sc, sys.columns AS sc2 GO 10 -- insert 2000 rows, in 10 batches and we suddenly have 107 VLFs EXECUTE ('DBCC LOGINFO'); Well, that escalated quickly! Our log file is split, internally, into 107 fragments after a few thousand inserts. The same happens with any logged transactions, I just chose to illustrate this with INSERTs. Having too many VLFs can cause performance degradation at times of database start up, log backup and log restore operations so it’s well worth keeping a check on this property. How do we prevent excessive VLF creation? Creating the database with larger files and also with larger growth steps and actively choosing to grow your databases rather than leaving it to the Auto Grow event can make sure that the growths are made with a size that is optimal. How do we resolve a situation of a database with too many VLFs? This process needs to be done when the database is under little or no stress so that you don’t affect system users. The steps are: BACKUP LOG YourDBName TO YourBackupDestinationOfChoice Shrink the log file to its smallest possible size DBCC SHRINKFILE(FileNameOfTLogHere, TRUNCATEONLY) * Re-size the log file to the size you want it to, taking in to account your expected needs for the coming months or year. ALTER DATABASE YourDBName MODIFY FILE ( NAME = FileNameOfTLogHere, SIZE = TheSizeYouWantItToBeIn_MB) * – If you don’t know the file name of your log file then run sp_helpfile while you are connected to the database that you want to work on and you will get the details you need. The resize step can take quite a while This is already detailed far better than I can explain it by Kimberley Tripp in her blog 8-Steps-to-better-Transaction-Log-throughput.aspx. The result of this will be a log file with a VLF count according to the bullet list above. Knowing when VLFs are being created By complete coincidence while I have been writing this blog (it’s been quite some time from it’s inception to going live) Jonathan Kehayias from SQLSkills.com has written a great article on how to track database file growth using Event Notifications and Service Broker. I strongly recommend taking a look at it as this is going to catch any sneaky auto grows that take place and let you know about them right away. Hassle free monitoring of VLFs If you are lucky or wise enough to be using SQL Monitor or another monitoring tool that let’s you write your own custom metrics then you can keep an eye on this very easily. There is a custom metric for VLFs (written by Stuart Ainsworth) already on the site and there are some others there are very useful so take a moment or two to look around while you are there. Resources MSDN – http://msdn.microsoft.com/en-us/library/ms179355(v=sql.105).aspx Kimberly Tripp from SQLSkills.com – http://www.sqlskills.com/BLOGS/KIMBERLY/post/8-Steps-to-better-Transaction-Log-throughput.aspx Thomas LaRock at Simple-Talk.com – http://www.simple-talk.com/sql/database-administration/monitoring-sql-server-virtual-log-file-fragmentation/ Disclosure I am a Friend of Red Gate. This means that I am more than likely to say good things about Red Gate DBA and Developer tools. No matter how awesome I make them sound, take the time to compare them with other products before you contact the Red Gate sales team to make your order.

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• Partition Wise Joins

  - by jean-pierre.dijcks

  Some say they are the holy grail of parallel computing and PWJ is the basis for a shared nothing system and the only join method that is available on a shared nothing system (yes this is oversimplified!). The magic in Oracle is of course that is one of many ways to join data. And yes, this is the old flexibility vs. simplicity discussion all over, so I won't go there... the point is that what you must do in a shared nothing system, you can do in Oracle with the same speed and methods. The Theory A partition wise join is a join between (for simplicity) two tables that are partitioned on the same column with the same partitioning scheme. In shared nothing this is effectively hard partitioning locating data on a specific node / storage combo. In Oracle is is logical partitioning. If you now join the two tables on that partitioned column you can break up the join in smaller joins exactly along the partitions in the data. Since they are partitioned (grouped) into the same buckets, all values required to do the join live in the equivalent bucket on either sides. No need to talk to anyone else, no need to redistribute data to anyone else... in short, the optimal join method for parallel processing of two large data sets. PWJ's in Oracle Since we do not hard partition the data across nodes in Oracle we use the Partitioning option to the database to create the buckets, then set the Degree of Parallelism (or run Auto DOP - see here) and get our PWJs. The main questions always asked are: How many partitions should I create? What should my DOP be? In a shared nothing system the answer is of course, as many partitions as there are nodes which will be your DOP. In Oracle we do want you to look at the workload and concurrency, and once you know that to understand the following rules of thumb. Within Oracle we have more ways of joining of data, so it is important to understand some of the PWJ ideas and what it means if you have an uneven distribution across processes. Assume we have a simple scenario where we partition the data on a hash key resulting in 4 hash partitions (H1 -H4). We have 2 parallel processes that have been tasked with reading these partitions (P1 - P2). The work is evenly divided assuming the partitions are the same size and we can scan this in time t1 as shown below. Now assume that we have changed the system and have a 5th partition but still have our 2 workers P1 and P2. The time it takes is actually 50% more assuming the 5th partition has the same size as the original H1 - H4 partitions. In other words to scan these 5 partitions, the time t2 it takes is not 1/5th more expensive, it is a lot more expensive and some other join plans may now start to look exciting to the optimizer. Just to post the disclaimer, it is not as simple as I state it here, but you get the idea on how much more expensive this plan may now look... Based on this little example there are a few rules of thumb to follow to get the partition wise joins. First, choose a DOP that is a factor of two (2). So always choose something like 2, 4, 8, 16, 32 and so on... Second, choose a number of partitions that is larger or equal to 2* DOP. Third, make sure the number of partitions is divisible through 2 without orphans. This is also known as an even number... Fourth, choose a stable partition count strategy, which is typically hash, which can be a sub partitioning strategy rather than the main strategy (range - hash is a popular one). Fifth, make sure you do this on the join key between the two large tables you want to join (and this should be the obvious one...). Translating this into an example: DOP = 8 (determined based on concurrency or by using Auto DOP with a cap due to concurrency) says that the number of partitions >= 16. Number of hash (sub) partitions = 32, which gives each process four partitions to work on. This number is somewhat arbitrary and depends on your data and system. In this case my main reasoning is that if you get more room on the box you can easily move the DOP for the query to 16 without repartitioning... and of course it makes for no leftovers on the table... And yes, we recommend up-to-date statistics. And before you start complaining, do read this post on a cool way to do stats in 11.

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• Best Practices, No Thank You!

  - by frank.buytendijk

  I started videoblogging. Please check my first videoblog on "Best Practices" here. frank

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• How do you KISS ?

  - by Conor

  The KISS principal is a highly quoted design mantra. The aim of this principle is to stamp out unnecessary complexity on a project. This is a good thing, saving time, energy and money. It can lead to a relatively stress free implementation and a simple, elegant, maintainable end product. A lot of discussion on KISS provides mechanisms to simplify requirements, design and implementation. Things that spring to mind include: avoid scope creep; simple obvious design and code; minimal run-time dependencies; refactoring to maintain simplicity; etc. However there are a lot of implicit things that we do to KISS. Examples: small team sizes; minimal management layers; tidy desk; mastery of a single IDE; clear concise error messages; scripts to automate/encapsulate tasks; etc The purpose of this question is to derive a checklist of KISS items. I'm especially interested in non-obvious items.

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• EM12c Release 4: Cloud Control to Major Tom...

  - by abulloch

  With the latest release of Enterprise Manager 12c, Release 4 (12.1.0.4) the EM development team has added new functionality to assist the EM Administrator to monitor the health of the EM infrastructure.   Taking feedback delivered from customers directly and through customer advisory boards some nice enhancements have been made to the “Manage Cloud Control” sections of the UI, commonly known in the EM community as “the MTM pages” (MTM stands for Monitor the Monitor).  This part of the EM Cloud Control UI is viewed by many as the mission control for EM Administrators. In this post we’ll highlight some of the new information that’s on display in these redesigned pages and explain how the information they present can help EM administrators identify potential bottlenecks or issues with the EM infrastructure. The first page we’ll take a look at is the newly designed Repository information page.  You can get to this from the main Setup menu, through Manage Cloud Control, then Repository.  Once this page loads you’ll see the new layout that includes 3 tabs containing more drill-down information. The Repository Tab The first tab, Repository, gives you a series of 6 panels or regions on screen that display key information that the EM Administrator needs to review from time to time to ensure that their infrastructure is in good health. Rather than go through every panel let’s call out a few and let you explore the others later yourself on your own EM site.  Firstly, we have the Repository Details panel. At a glance the EM Administrator can see the current version of the EM repository database and more critically, three important elements of information relating to availability and reliability :- Is the database in Archive Log mode ? Is the database using Flashback ? When was the last database backup taken ? In this test environment above the answers are not too worrying, however, Production environments should have at least Archivelog mode enabled, Flashback is a nice feature to enable prior to upgrades (for fast rollback) and all Production sites should have a backup.  In this case the backup information in the Control file indicates there’s been no recorded backups taken. The next region of interest to note on this page shows key information around the Repository configuration, specifically, the initialisation parameters (from the spfile). If you’re storing your EM Repository in a Cluster Database you can view the parameters on each individual instance using the Instance Name drop-down selector in the top right of the region. Additionally, you’ll note there is now a check performed on the active configuration to ensure that you’re using, at the very least, Oracle minimum recommended values.  Should the values in your EM Repository not meet these requirements it will be flagged in this table with a red X for non-compliance.  You can of-course change these values within EM by selecting the Database target and modifying the parameters in the spfile (and optionally, the run-time values if the parameter allows dynamic changes). The last region to call out on this page before moving on is the new look Repository Scheduler Job Status region. This region is an update of a similar region seen on previous releases of the MTM pages in Cloud Control but there’s some important new functionality that’s been added that customers have requested. First-up - Restarting Repository Jobs.  As you can see from the graphic, you can now optionally select a job (by selecting the row in the UI table element) and click on the Restart Job button to take care of any jobs which have stopped or stalled for any reason.  Previously this needed to be done at the command line using EMDIAG or through a PL/SQL package invocation.  You can now take care of this directly from within the UI. Next, you’ll see that a feature has been added to allow the EM administrator to customise the run-time for some of the background jobs that run in the Repository.  We heard from some customers that ensuring these jobs don’t clash with Production backups, etc is a key requirement.  This new functionality allows you to select the pencil icon to edit the schedule time for these more resource intensive background jobs and modify the schedule to avoid clashes like this. Moving onto the next tab, let’s select the Metrics tab. The Metrics Tab There’s some big changes here, this page contains new information regions that help the Administrator understand the direct impact the in-bound metric flows are having on the EM Repository.  Many customers have provided feedback that they are in the dark about the impact of adding new targets or large numbers of new hosts or new target types into EM and the impact this has on the Repository.  This page helps the EM Administrator get to grips with this.  Let’s take a quick look at two regions on this page. First-up there’s a bubble chart showing a comprehensive view of the top resource consumers of metric data, over the last 30 days, charted as the number of rows loaded against the number of collections for the metric.  The size of the bubble indicates a relative volume.  You can see from this example above that a quick glance shows that Host metrics are the largest inbound flow into the repository when measured by number of rows.  Closely following behind this though are a large number of collections for Oracle Weblogic Server and Application Deployment.  Taken together the Host Collections is around 0.7Mb of data.  The total information collection for Weblogic Server and Application Deployments is 0.38Mb and 0.37Mb respectively. If you want to get this information breakdown on the volume of data collected simply hover over the bubble in the chart and you’ll get a floating tooltip showing the information. Clicking on any bubble in the chart takes you one level deeper into a drill-down of the Metric collection. Doing this reveals the individual metric elements for these target types and again shows a representation of the relative cost - in terms of Number of Rows, Number of Collections and Storage cost of data for each Metric type. Looking at another panel on this page we can see a different view on this data. This view shows a view of the Top N metrics (the drop down allows you to select 10, 15 or 20) and sort them by volume of data.  In the case above we can see the largest metric collection (by volume) in this case (over the last 30 days) is the information about OS Registered Software on a Host target. Taken together, these two regions provide a powerful tool for the EM Administrator to understand the potential impact of any new targets that have been discovered and promoted into management by EM12c.  It’s a great tool for identifying the cause of a sudden increase in Repository storage consumption or Redo log and Archive log generation. Using the information on this page EM Administrators can take action to mitigate any load impact by deploying monitoring templates to the targets causing most load if appropriate.   The last tab we’ll look at on this page is the Schema tab. The Schema Tab Selecting this tab brings up a window onto the SYSMAN schema with a focus on Space usage in the EM Repository.  Understanding what tablespaces are growing, at what rate, is essential information for the EM Administrator to stay on top of managing space allocations for the EM Repository so that it works as efficiently as possible and performs well for the users.  Not least because ensuring storage is managed well ensures continued availability of EM for monitoring purposes. The first region to highlight here shows the trend of space usage for the tablespaces in the EM Repository over time.  You can see the upward trend here showing that storage in the EM Repository is being consumed on an upward trend over the last few days here. This is normal as this EM being used here is brand new with Agents being added daily to bring targets into monitoring.  If your Enterprise Manager configuration has reached a steady state over a period of time where the number of new inbound targets is relatively small, the metric collection settings are fairly uniform and standardised (using Templates and Template Collections) you’re likely to see a trend of space allocation that plateau’s. The table below the trend chart shows the Top 20 Tables/Indexes sorted descending by order of space consumed.  You can switch the trend view chart and corresponding detail table by choosing a different tablespace in the EM Repository using the drop-down picker on the top right of this region. The last region to highlight on this page is the region showing information about the Purge policies in effect in the EM Repository. This information is useful to illustrate to EM Administrators the default purge policies in effect for the different categories of information available in the EM Repository.  Of course, it’s also been a long requested feature to have the ability to modify these default retention periods.  You can also do this using this screen.  As there are interdependencies between some data elements you can’t modify retention policies on a feature by feature basis.  Instead, retention policies take categories of information and bundles them together in Groups.  Retention policies are modified at the Group Level.  Understanding the impact of this really deserves a blog post all on it’s own as modifying these can have a significant impact on both the EM Repository’s storage footprint and it’s performance.  For now, we’re just highlighting the features visibility on these new pages. As a user of EM12c we hope the new features you see here address some of the feedback that’s been given on these pages over the past few releases.  We’ll look out for any comments or feedback you have on these pages ! 

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• A client wants us to screen work machines for pornography. Is it possible?

  - by Scant Roger

  A long-time client has asked us to help screen their work machines for pornography. They're worried about liability if sensitive materials were found. Their main concerns (for obvious reasons) are video, audio, and image files. If possible, they'd also like to scan text-based documents for inappropriate content. They have a hierarchy of not-for-work content starting with blatantly illegal (I don't have to list details), moving down to obviously offensive, and also including things that may be offensive to some - think lingerie ads, joke cards featuring butt cracks, and anything related to Howie Mandel. My questions are: Is this ethical? I think it is since every employee legally agrees that their work machine belongs to the company and is subject to search. The screenings are not to occur on personal machines brought to work. Is it feasible? I've done a lot of image processing/indexing but this seems like a whole new world of complexity. Any references to successful techniques for discovering porn? Is it appropriate for me to archive the results when something is discovered?

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• Congratulations 2010 Microsoft MVP, woo hoo 5th time now

  - by ssqa.net

  Well, its April 01st again and a big day for me 2 important events to note (daughter's birthday and MVP renewal notification). After a long travel from London to Hyderabad after speaking at UK AIC 2010 conference, I was able to make it by half day here for my daughter's birthday, phew. Then next one awaiting official confirmation about MVP renewal (April - Mar cycle), woo hooo here is one.... Dear Satya Jayanty, Congratulations! We are pleased to present you with the 2010 Microsoft® MVP Award...(read more)

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• Visual Studio 2008 Solution Setup

  - by Ben Griswold

  In this screencast, Noah and I demonstrate preferred practices around .NET solution setup, naming conventions and version control.  I consider this an introductory video.  If you’ve been around the block, you might want to skip this episode but if you’re a .NET/Visual Studio newbie, it may be worth a look.    YouTube - Visual Studio 2008 Solution Setup   This is one of our first screencasts.  Actually it is the very first.  If you have feedback, I’d love to hear it.

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• Partition Wise Joins II

  - by jean-pierre.dijcks

  One of the things that I did not talk about in the initial partition wise join post was the effect it has on resource allocation on the database server. When Oracle applies a different join method - e.g. not PWJ - what you will see in SQL Monitor (in Enterprise Manager) or in an Explain Plan is a set of producers and a set of consumers. The producers scan the tables in the the join. If there are two tables the producers first scan one table, then the other. The producers thus provide data to the consumers, and when the consumers have the data from both scans they do the join and give the data to the query coordinator. Now that behavior means that if you choose a degree of parallelism of 4 to run such query with, Oracle will allocate 8 parallel processes. Of these 8 processes 4 are producers and 4 are consumers. The consumers only actually do work once the producers are fully done with scanning both sides of the join. In the plan above you can see that the producers access table SALES [line 11] and then do a PX SEND [line 9]. That is the producer set of processes working. The consumers receive that data [line 8] and twiddle their thumbs while the producers go on and scan CUSTOMERS. The producers send that data to the consumer indicated by PX SEND [line 5]. After receiving that data [line 4] the consumers do the actual join [line 3] and give the data to the QC [line 2]. BTW, the myth that you see twice the number of processes due to the setting PARALLEL_THREADS_PER_CPU=2 is obviously not true. The above is why you will see 2 times the processes of the DOP. In a PWJ plan the consumers are not present. Instead of producing rows and giving those to different processes, a PWJ only uses a single set of processes. Each process reads its piece of the join across the two tables and performs the join. The plan here is notably different from the initial plan. First of all the hash join is done right on top of both table scans [line 8]. This query is a little more complex than the previous so there is a bit of noise above that bit of info, but for this post, lets ignore that (sort stuff). The important piece here is that the PWJ plan typically will be faster and from a PX process number / resources typically cheaper. You may want to look out for those plans and try to get those to appear a lot... CREDITS: credits for the plans and some of the info on the plans go to Maria, as she actually produced these plans and is the expert on plans in general... You can see her talk about explaining the explain plan and other optimizer stuff over here: ODTUG in Washington DC, June 27 - July 1 On the Optimizer blog At OpenWorld in San Francisco, September 19 - 23 Happy joining and hope to see you all at ODTUG and OOW...

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• Multiple classes in a single .cs file - good or bad?

  - by Sergio

  Is it advisable to create multiple classes within a .cs file or should each .cs file have an individual class? For example: public class Items { public class Animal { } public class Person { } public class Object { } } Dodging the fact for a minute that this is a poor example of good architecture, is having more than a single class in a .cs file a code smell?

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• OS Analytics - Deep Dive Into Your OS

  - by Eran_Steiner

  Enterprise Manager Ops Center provides a feature called "OS Analytics". This feature allows you to get a better understanding of how the Operating System is being utilized. You can research the historical usage as well as real time data. This post will show how you can benefit from OS Analytics and how it works behind the scenes. We will have a call to discuss this blog - please join us!Date: Thursday, November 1, 2012Time: 11:00 am, Eastern Daylight Time (New York, GMT-04:00)1. Go to https://oracleconferencing.webex.com/oracleconferencing/j.php?ED=209833067&UID=1512092402&PW=NY2JhMmFjMmFh&RT=MiMxMQ%3D%3D2. If requested, enter your name and email address.3. If a password is required, enter the meeting password: oracle1234. Click "Join". To join the teleconference:Call-in toll-free number:       1-866-682-4770  (US/Canada)      Other countries:                https://oracle.intercallonline.com/portlets/scheduling/viewNumbers/viewNumber.do?ownerNumber=5931260&audioType=RP&viewGa=true&ga=ONConference Code:       7629343#Security code:            7777# Here is quick summary of what you can do with OS Analytics in Ops Center: View historical charts and real time value of CPU, memory, network and disk utilization Find the top CPU and Memory processes in real time or at a certain historical day Determine proper monitoring thresholds based on historical data View Solaris services status details Drill down into a process details View the busiest zones if applicable Where to start To start with OS Analytics, choose the OS asset in the tree and click the Analytics tab. You can see the CPU utilization, Memory utilization and Network utilization, along with the current real time top 5 processes in each category (click the image to see a larger version):  In the above screen, you can click each of the top 5 processes to see a more detailed view of that process. Here is an example of one of the processes: One of the cool things is that you can see the process tree for this process along with some port binding and open file descriptors. On Solaris machines with zones, you get an extra level of tabs, allowing you to get more information on the different zones: This is a good way to see the busiest zones. For example, one zone may not take a lot of CPU but it can consume a lot of memory, or perhaps network bandwidth. To see the detailed Analytics for each of the zones, simply click each of the zones in the tree and go to its Analytics tab. Next, click the "Processes" tab to see real time information of all the processes on the machine: An interesting column is the "Target" column. If you configured Ops Center to work with Enterprise Manager Cloud Control, then the two products will talk to each other and Ops Center will display the correlated target from Cloud Control in this table. If you are only using Ops Center - this column will remain empty. Next, if you view a Solaris machine, you will have a "Services" tab: By default, all services will be displayed, but you can choose to display only certain states, for example, those in maintenance or the degraded ones. You can highlight a service and choose to view the details, where you can see the Dependencies, Dependents and also the location of the service log file (not shown in the picture as you need to scroll down to see the log file). The "Threshold" tab is particularly helpful - you can view historical trends of different monitored values and based on the graph - determine what the monitoring values should be: You can ask Ops Center to suggest monitoring levels based on the historical values or you can set your own. The different colors in the graph represent the current set levels: Red for critical, Yellow for warning and Blue for Information, allowing you to quickly see how they're positioned against real data. It's important to note that when looking at longer periods, Ops Center smooths out the data and uses averages. So when looking at values such as CPU Usage, try shorter time frames which are more detailed, such as one hour or one day. Applying new monitoring values When first applying new values to monitored attributes - a popup will come up asking if it's OK to get you out of the current Monitoring Policy. This is OK if you want to either have custom monitoring for a specific machine, or if you want to use this current machine as a "Gold image" and extract a Monitoring Policy from it. You can later apply the new Monitoring Policy to other machines and also set it as a default Monitoring Profile. Once you're done with applying the different monitoring values, you can review and change them in the "Monitoring" tab. You can also click the "Extract a Monitoring Policy" in the actions pane on the right to save all the new values to a new Monitoring Policy, which can then be found under "Plan Management" -> "Monitoring Policies". Visiting the past Under the "History" tab you can "go back in time". This is very helpful when you know that a machine was busy a few hours ago (perhaps in the middle of the night?), but you were not around to take a look at it in real time. Here's a view into yesterday's data on one of the machines: You can see an interesting CPU spike happening at around 3:30 am along with some memory use. In the bottom table you can see the top 5 CPU and Memory consumers at the requested time. Very quickly you can see that this spike is related to the Solaris 11 IPS repository synchronization process using the "pkgrecv" command. The "time machine" doesn't stop here - you can also view historical data to determine which of the zones was the busiest at a given time: Under the hood The data collected is stored on each of the agents under /var/opt/sun/xvm/analytics/historical/ An "os.zip" file exists for the main OS. Inside you will find many small text files, named after the Epoch time stamp in which they were taken If you have any zones, there will be a file called "guests.zip" containing the same small files for all the zones, as well as a folder with the name of the zone along with "os.zip" in it If this is the Enterprise Controller or the Proxy Controller, you will have folders called "proxy" and "sat" in which you will find the "os.zip" for that controller The actual script collecting the data can be viewed for debugging purposes as well: On Linux, the location is: /opt/sun/xvmoc/private/os_analytics/collect On Solaris, the location is /opt/SUNWxvmoc/private/os_analytics/collect If you would like to redirect all the standard error into a file for debugging, touch the following file and the output will go into it: # touch /tmp/.collect.stderr   The temporary data is collected under /var/opt/sun/xvm/analytics/.collectdb until it is zipped. If you would like to review the properties for the Analytics, you can view those per each agent in /opt/sun/n1gc/lib/XVM.properties. Find the section "Analytics configurable properties for OS and VSC" to view the Analytics specific values. I hope you find this helpful! Please post questions in the comments below. Eran Steiner

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• A Primer on Migrating Oracle Applications to a New Platform

  - by Nick Quarmby

  In Support we field a lot of questions about the migration of Oracle Applications to different platforms.  This article describes the techniques available for migrating an Oracle Applications environment to a new platform and discusses some of the common questions that arise during migration.  This subject has been frequently discussed in previous blog articles but there still seems to be a gap regarding the type of questions we are frequently asked in Service Requests. Some of the questions we see are quite abstract. Customers simply want to get a grip on understanding how they approach a migration. Others want to know if a particular architecture is viable. Other customers ask about mixing different platforms within a single Oracle Applications environment.    Just to clarify, throughout this article, the term 'platform' refers specifically to operating systems and not to the underlying hardware. For a clear definition of 'platform' in the context of Oracle Applications Support then Terri's very timely article:Oracle E-Business Suite Platform SmörgåsbordThe migration process is very similar for both 11i and R12 so this article only mentions specific differences where relevant.

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• Tips/Process for web-development using Django in a small team

  - by Mridang Agarwalla

  We're developing a web app uing Django and we're a small team of 3-4 programmers — some doing the UI stuff and some doing the Backend stuff. I'd love some tips and suggestions from the people here. This is out current setup: We're using Git as as our SCM tool and following this branching model. We're following the PEP8 for your style guide. Agile is our software development methodology and we're using Jira for that. We're using the Confluence plugin for Jira for documentation and I'm going to be writing a script that also dumps the PyDocs into Confluence. We're using virtualenv for sandboxing We're using zc.buildout for building This is whatever I can think of off the top of my head. Any other suggestions/tips would be welcome. I feel that we have a pretty good set up but I'm also confident that we could do more. Thanks.

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• Bare minimum on the Joel Test

  - by Fung

  From the Joel Test, of the 12, which do you think are the absolute must-haves to at least have a decently running software department/company? I realise there is no absolutely right answer. I'm just trying to get opinions of others out there. My own organization only manages a measly 5 of 12. If you check listings on Careers 2.0, most companies don't score a full 12 either but I'm sure they're doing fine. Does SO publish the stats for those anywhere? Or has anyone tried scrapping the results? Would be interesting to know which are practised the most. And whether because they are easier to implement or whether they actually have the most impact. Thanks.

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• A new version of Oracle Enterprise Manager Ops Center Doctor (OCDoctor ) Utility released

  - by Anand Akela

  In February,  we posted a blog of Oracle Enterprise Manager Ops Center Doctor aka OCDoctor Utility. This utility assists in various stages of the Ops Center deployment and can be a real life saver. It is updated on a regular basis with additional knowledge (similar to an antivirus subscription) to help you identify and resolve known issues or suggest ways to improve performance.A new version ( Version 4.00 ) of the OCDoctor is now available . This new version adds full support for recently announced Oracle Enterprise Manager Ops Center 12c including prerequisites checks, troubleshoot tests, log collection, tuning and product metadata updates. In addition, it adds several bug fixes and enhancements to OCDoctor Utility.To download OCDoctor for new installations:https://updates.oracle.com/OCDoctor/OCDoctor-latest.zipFor existing installations, simply run:# /var/opt/sun/xvm/OCDoctor/OCDoctor.sh --updateTip : If you have Oracle Enterprise Manager Ops Center12c EC installed, your OCDoctor will automatically update overnight. Join Oracle Launch Webcast : Total Cloud Control for Systems on April 12th at 9 AM PST to learn more about  Oracle Enterprise Manager Ops Center 12c from Oracle Senior Vice President John Fowler, Oracle Vice President of Systems Management Steve Wilson and a panel of Oracle executive. Stay connected with  Oracle Enterprise Manager   :  Twitter | Facebook | YouTube | Linkedin | Newsletter

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• Feature pack for SQL Server 2005 SP4 - collection of standalone packages

  - by ssqa.net

  With the release of SQL2005Sp4 an additional task is essential for DBAs & Developers to avoid any compatibility issues with existing code agains SP4 instance. Feature pack for SQL Server 2005 SP4 is available to download which contains the standalone packages such as SQLNative Client, ADOMD, OLAPDM etc.... as it states the feature pack are built on latest versions of add-on and backward compatibility contents for SQL Server 2005. The above link provides individual file to download for each environment...(read more)

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• The Best of CES (Consumer Electronics Show) in 2011

  - by Justin Garrison

  This year, How-To Geek’s own Justin was on-site at the Consumer Electronics Show in Las Vegas, where every gadget manufacturer shows off their latest creations, and he was able to sit down and get hands-on with most of them. Here’s the best of the bunch. Make sure to also check out our list of the Worst of CES 2011, where we covered the gadgets that just didn’t make the cut Latest Features How-To Geek ETC HTG Projects: How to Create Your Own Custom Papercraft Toy How to Combine Rescue Disks to Create the Ultimate Windows Repair Disk What is Camera Raw, and Why Would a Professional Prefer it to JPG? The How-To Geek Guide to Audio Editing: The Basics How To Boot 10 Different Live CDs From 1 USB Flash Drive The 20 Best How-To Geek Linux Articles of 2010 Arctic Theme for Windows 7 Gives Your Desktop an Icy Touch Install LibreOffice via PPA and Receive Auto-Updates in Ubuntu Creative Portraits Peek Inside the Guts of Modern Electronics Scenic Winter Lane Wallpaper to Create a Relaxing Mood Access Your Web Apps Directly Using the Context Menu in Chrome The Deep – Awesome Use of Metal Objects as Deep Sea Creatures [Video]

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• Why do we keep using CSV?

  - by Stephen

  Why do we keep using CSV? I recently made a shift to working the health domain and despite the wonderful work in data transfer standards, all data transfer is in CSV, both for reporting to external organisations, and for data migrations when implementing new systems. Unfortunately the use of CSV is the cause of the endless repetition of the same stupid errors, with the same waste of developer time. (bad escaping, failing to handle null fields etc.) I know we can do better, and anything between JSON and XML (depending on the instance) would be fine. (Most of the time this is data going from one MS SQLserver 2005 to another!) I feel as if each time I see this happening I am literally watching one developer waste anothers time. So why do we keep shafting each other? When will we stop?

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• CSS practices: negative positioning

  - by Corey

  I'm somewhat of a novice to CSS. Anyway, I noticed that an extremely common method used in CSS is to have negative or off-screen positioning, whether it be to hide text or preload images or what have you. Even on SE sites, like StackOverflow and this website, have #hlogo a { text-indent: -999999em } set in their CSS. So I guess I have a few questions. is this valid CSS? or is it just a "hack"? are there downsides to doing things this way? why is this so common? aren't there better ways to hide content?

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• Database design and performance impact

  - by Craige

  I have a database design issue that I'm not quite sure how to approach, nor if the benefits out weigh the costs. I'm hoping some P.SE members can give some feedback on my suggested design, as well as any similar experiences they may have came across. As it goes, I am building an application that has large reporting demands. Speed is an important issue, as there will be peak usages throughout the year. This application/database has a multiple-level, many-to-many relationship. eg object a object b object c object d object b has relationship to object a object c has relationship to object b, a object d has relationship to object c, b, a Theoretically, this could go on for unlimited levels, though logic dictates it could only go so far. My idea here, to speed up reporting, would be to create a syndicate table that acts as a global many-to-many join table. In this table (with the given example), one might see: +----------+-----------+---------+ | child_id | parent_id | type_id | +----------+-----------+---------+ | b | a | 1 | | c | b | 2 | | c | a | 3 | | d | c | 4 | | d | b | 5 | | d | a | 6 | +----------+-----------+---------+ Where a, b, c and d would translate to their respective ID's in their respective tables. So, for ease of reporting all of a which exist on object d, one could query SELECT * FROM `syndicates` ... JOINS TO child and parent tables ... WHERE parent_id=a and type_id=6; rather than having a query with a join to each level up the chain. The Problem This table grows exponentially, and in a given year, could easily grow past 20,000 records for one client. Given multiple clients over multiple years, this table will VERY quickly explode to millions of records and beyond. Now, the database will, in time, be partitioned across multiple servers, but I would like (as most would) to keep the number of servers as low as possible while still offering flexibility. Also writes and updates would be exponentially longer (though possibly not noticeable to the end user) as there would be multiple inserts/updates/scans on this table to keep it in sync. Am I going in the right direction here, or am I way off track. What would you do in a similar situation? This solution seems overly complex, but allows the greatest flexibility and fastest read-operations. Sidenote 1 - This structure allows me to add new levels to the tree easily. Sidenote 2 - The database querying for this database is done through an ORM framework.

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• Keep Your Eye on the Ball

  - by [email protected]

  With the FIFA World Cup 2010 in South Africa almost a week underway, the soccer fans all around the World are talking about at least 2 things. That typical vuvuzela sound and the new Jabulani ball, saying it moves unpredictably, is difficult to handle and somehow the altitude of the World Cup stadiums also seem to be a contributing factor.(Picture taken from http://www.flickr.com/photos/warrenski/4143923059/ under a Creative Commons license)Although the FIFA states that it hasn't received any official complaints, the end users don't seem to be very happy with this new ball. This brings me to a comparison with IT management and testing. When you're in a situation where you're introducing a new product, in IT terms, introducing a new application, you would like to test all possible scenarios that your end users could be using and experiencing. However, that's a very time and resource intensive process to do for every application change or update.  It's like getting ready for the big game but you have no game plan.That's why a new approach has been developed. One that's based on the 80/20 rule. Testing 80% of the application will cost about 20% of the efforts. The remaining 20% of your application will not be tested before deployment, but monitored with a real user monitoring solution immediately after deployment. These tools track all user experiences, including error messages and the performance and availability metrics from an end user perspective. Should any anomaly occur, you would be able to repair it quickly so you and your end users can get back into the game.These real user sessions can be easily converted into testing scripts, so the 80% of the application testing can be complimented with the remaining 20%.Oracle Enterprise Manager 11g group of products offers both the real user monitoring solution with Oracle Real User Experience Insight, as well as the required testing solution with Oracle Application Testing Suite. Visit our Oracle Enterprise Manager 11g resource center and find out how it's Business-Driven IT Management approach will help you keep your eye on your business ball.Happy World Cup.

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