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Dec 31st, 2012 — Jan 6th, 2013 Generate the Custom HTML Email for this Issue
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Training
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Free Oracle VM Training for Sys Admins: January 15, 2013 and January 29, 2013
Proctored Lab Setting for Hands-on Experience with Oracle Solaris, Oracle Linux and Oracle VM
Oracle is offering free online training for sys admins in Oracle VM, Monica Kumar announces. The date for the Americas audience is Tuesday January 15, 2013, with various start times. For the EMEA audience, the date is Tuesday January 29, 2013, again with various start times. Kumar writes that this training will give registrants the opportunity to dirty their hands with the file systems, install images and management tools for Oracle Solaris, Oracle Linux and Oracle VM in the setting of a proctored lab. Detailed agendas for the training and a Twitter hashtag for the event are available.
Free Oracle VM Training for Sys Admins: January 15, 2013 and January 29, 2013
Proctored Lab Setting for Hands-on Experience with Oracle Solaris, Oracle Linux and Oracle VM
Oracle is offering free online training for sys admins in Oracle VM, Monica Kumar announces. The date for the Americas audience is Tuesday January 15, 2013, with various start times. For the EMEA audience, the date is Tuesday January 29, 2013, again with various start times. Kumar writes that this training will give registrants the opportunity to dirty their hands with the file systems, install images and management tools for Oracle Solaris, Oracle Linux and Oracle VM in the setting of a proctored lab. Detailed agendas for the training and a Twitter hashtag for the event are available.
Free Oracle VM Training for Sys Admins: January 15, 2013 and January 29, 2013
Proctored Lab Setting for Hands-on Experience with Oracle Solaris, Oracle Linux and Oracle VM
Oracle is offering free online training for sys admins in Oracle VM, Monica Kumar announces. The date for the Americas audience is Tuesday January 15, 2013, with various start times. For the EMEA audience, the date is Tuesday January 29, 2013, again with various start times. Kumar writes that this training will give registrants the opportunity to dirty their hands with the file systems, install images and management tools for Oracle Solaris, Oracle Linux and Oracle VM in the setting of a proctored lab. Detailed agendas for the training and a Twitter hashtag for the event are available.
Solaris
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Accelerate Oracle DB Startup and Shutdown with Solaris 11 vmtasks
Solaris 11.1 Feature Benefits all Applications Requiring Fast Access to Shared Memory

Solaris 11.1 includes a number of new features, one of which, vmtasks, evoked the most interest from the Solaris user group to which Orgad Kimchi presented a review of the new release and provides a link to the slide deck. vmtasks, Kimchi reported, accelerates such shared memory operations as creation locking and destruction, thereby optimizing system uptime because Oracle DB startup and shutdown are much faster. According to Kimchi every application requiring fast access to shared memory can benefit from this feature.

Accelerate Oracle DB Startup and Shutdown with Solaris 11 vmtasks
Solaris 11.1 Feature Benefits all Applications Requiring Fast Access to Shared Memory

Solaris 11.1 includes a number of new features, one of which, vmtasks, evoked the most interest from the Solaris user group to which Orgad Kimchi presented a review of the new release and provides a link to the slide deck. vmtasks, Kimchi reported, accelerates such shared memory operations as creation locking and destruction, thereby optimizing system uptime because Oracle DB startup and shutdown are much faster. According to Kimchi every application requiring fast access to shared memory can benefit from this feature.

Accelerate Oracle DB Startup and Shutdown with Solaris 11 vmtasks
Solaris 11.1 Feature Benefits all Applications Requiring Fast Access to Shared Memory

Solaris 11.1 includes a number of new features, one of which, vmtasks, evoked the most interest from the Solaris user group to which Orgad Kimchi presented a review of the new release and provides a link to the slide deck. vmtasks, Kimchi reported, accelerates such shared memory operations as creation locking and destruction, thereby optimizing system uptime because Oracle DB startup and shutdown are much faster. According to Kimchi every application requiring fast access to shared memory can benefit from this feature.

ZFS
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From zfsday 2012: Brendan Gregg on ZFS Performance Analysis and Tools
Presentation Available on YouTube
At zfsday 2012, Brendan Gregg presented on the topic of ZFS performance analysis and tools. (The talk itself is available on YouTube.) Gregg describes the presentation as focusing on observability tools both old and new -- many based on DTrace -- and spanning performance analysis from the application level down through the kernel and the storage device level. Gregg referred to several DTrace scripts for ZFS analysis during the talk, drawing them either from the File System chapter of the DTrace book (also online at dtracebook.com), or from the fs directory of the dtrace-cloud-tools project, online at github/brendangregg.
From zfsday 2012: Brendan Gregg on ZFS Performance Analysis and Tools
Presentation Available on YouTube
At zfsday 2012, Brendan Gregg presented on the topic of ZFS performance analysis and tools. (The talk itself is available on YouTube.) Gregg describes the presentation as focusing on observability tools both old and new -- many based on DTrace -- and spanning performance analysis from the application level down through the kernel and the storage device level. Gregg referred to several DTrace scripts for ZFS analysis during the talk, drawing them either from the File System chapter of the DTrace book (also online at dtracebook.com), or from the fs directory of the dtrace-cloud-tools project, online at github/brendangregg.
From zfsday 2012: Brendan Gregg on ZFS Performance Analysis and Tools
Presentation Available on YouTube
At zfsday 2012, Brendan Gregg presented on the topic of ZFS performance analysis and tools. (The talk itself is available on YouTube.) Gregg describes the presentation as focusing on observability tools both old and new -- many based on DTrace -- and spanning performance analysis from the application level down through the kernel and the storage device level. Gregg referred to several DTrace scripts for ZFS analysis during the talk, drawing them either from the File System chapter of the DTrace book (also online at dtracebook.com), or from the fs directory of the dtrace-cloud-tools project, online at github/brendangregg.
MySQL
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MySQL Workbench 5.2.45 GA Released to GA
Several New Features, Bug Fixes
Version 5.2.45 of the MySQL Workbench GUI tool has been released to GA. This version contains the following significant updates: support for several new MySQL 5.6 features; import recordsets from CSV file for the Inserts editor in Modeling and in the SQL Editor; and improved trigger editor, along with 72 resolved bugs. MySQL Utilities 1.1.1 has been included on the distribution as well. A post by rennox includes links to downloads, binary and source packages, and documentation.
MySQL Workbench 5.2.45 GA Released to GA
Several New Features, Bug Fixes
Version 5.2.45 of the MySQL Workbench GUI tool has been released to GA. This version contains the following significant updates: support for several new MySQL 5.6 features; import recordsets from CSV file for the Inserts editor in Modeling and in the SQL Editor; and improved trigger editor, along with 72 resolved bugs. MySQL Utilities 1.1.1 has been included on the distribution as well. A post by rennox includes links to downloads, binary and source packages, and documentation.
MySQL Workbench 5.2.45 GA Released to GA
Several New Features, Bug Fixes
Version 5.2.45 of the MySQL Workbench GUI tool has been released to GA. This version contains the following significant updates: support for several new MySQL 5.6 features; import recordsets from CSV file for the Inserts editor in Modeling and in the SQL Editor; and improved trigger editor, along with 72 resolved bugs. MySQL Utilities 1.1.1 has been included on the distribution as well. A post by rennox includes links to downloads, binary and source packages, and documentation.
Cloud Computing
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Developing a Cloud Chargeback System
Reckoning Costs in Terms of Control, Visibility and Fairness

No one wants to be charged at an unfair rate for IT resource usage. Developing a cloud chargeback system, argues Eric Tran-Le, VP Product Management, Oracle Enterprise Manager, that reveals costs in terms of control, visibility and fairness is the solution to assessing charges fairly and accurately. Creating a cost hierarchy that can report both in aggregate and by business unit is the key, Tran-Le maintains. Such a system must distinguish among the layers of computing services employed (server, middleware, database), and include baseline figures derived from the current workloads utilization that characterize the patterns by groups of users and types of workload.

Developing a Cloud Chargeback System
Reckoning Costs in Terms of Control, Visibility and Fairness

No one wants to be charged at an unfair rate for IT resource usage. Developing a cloud chargeback system, argues Eric Tran-Le, VP Product Management, Oracle Enterprise Manager, that reveals costs in terms of control, visibility and fairness is the solution to assessing charges fairly and accurately. Creating a cost hierarchy that can report both in aggregate and by business unit is the key, Tran-Le maintains. Such a system must distinguish among the layers of computing services employed (server, middleware, database), and include baseline figures derived from the current workloads utilization that characterize the patterns by groups of users and types of workload.

Developing a Cloud Chargeback System
Reckoning Costs in Terms of Control, Visibility and Fairness

No one wants to be charged at an unfair rate for IT resource usage. Developing a cloud chargeback system, argues Eric Tran-Le, VP Product Management, Oracle Enterprise Manager, that reveals costs in terms of control, visibility and fairness is the solution to assessing charges fairly and accurately. Creating a cost hierarchy that can report both in aggregate and by business unit is the key, Tran-Le maintains. Such a system must distinguish among the layers of computing services employed (server, middleware, database), and include baseline figures derived from the current workloads utilization that characterize the patterns by groups of users and types of workload.

'Resilience and Reliability on AWS'
O'Reilly Title Instructs on Defending Against Network Outages in the Cloud
"Resilience and Reliability on AWS" by Jurg van Vliet, Flavia Pagamelli,and Jasper Geutsen, a new title from O'Reilly, instructs readers in how to build applications in the public cloud that are as network-outage proof as possible. The writers draw on their experiences at 9apps to show how to combine AWS with open source tools such as PostgreSQL, MongoDB, and Redis bolstered by advice on the top 10 tips for surviving outages in the cloud and the use of elasticsearch to build a dependable NoSQL data store. The authors also show how to combine AWS and PostgreSQL to build an RDBMS that scales well.
'Resilience and Reliability on AWS'
O'Reilly Title Instructs on Defending Against Network Outages in the Cloud
"Resilience and Reliability on AWS" by Jurg van Vliet, Flavia Pagamelli,and Jasper Geutsen, a new title from O'Reilly, instructs readers in how to build applications in the public cloud that are as network-outage proof as possible. The writers draw on their experiences at 9apps to show how to combine AWS with open source tools such as PostgreSQL, MongoDB, and Redis bolstered by advice on the top 10 tips for surviving outages in the cloud and the use of elasticsearch to build a dependable NoSQL data store. The authors also show how to combine AWS and PostgreSQL to build an RDBMS that scales well.
'Resilience and Reliability on AWS'
O'Reilly Title Instructs on Defending Against Network Outages in the Cloud
"Resilience and Reliability on AWS" by Jurg van Vliet, Flavia Pagamelli,and Jasper Geutsen, a new title from O'Reilly, instructs readers in how to build applications in the public cloud that are as network-outage proof as possible. The writers draw on their experiences at 9apps to show how to combine AWS with open source tools such as PostgreSQL, MongoDB, and Redis bolstered by advice on the top 10 tips for surviving outages in the cloud and the use of elasticsearch to build a dependable NoSQL data store. The authors also show how to combine AWS and PostgreSQL to build an RDBMS that scales well.
Linux
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Exploring the Safeguards in Loadable Kernel Modules
Avoiding the Introduction of Changes in Recompiling the Kernel that Result in an Unbootable System

In a post that explains how to use Oracle's Unbreakable Enterprise Kernel to protect a running Linux kernel, Robert Chase cautions against the introduction of changes in recompiling the kernel that might render the system unbootable. The key, he posts, is in using the Loadable Kernel Modules (LKM), which allows the customization of an environment without compromising the base kernel environment or the stability of your system. Chase presents several examples that demonstrate how signed modules enhance system security by checking modules upon load against the ring of keys compiled into the kernel, preventing invalidly signed modules from being loaded.

Exploring the Safeguards in Loadable Kernel Modules
Avoiding the Introduction of Changes in Recompiling the Kernel that Result in an Unbootable System

In a post that explains how to use Oracle's Unbreakable Enterprise Kernel to protect a running Linux kernel, Robert Chase cautions against the introduction of changes in recompiling the kernel that might render the system unbootable. The key, he posts, is in using the Loadable Kernel Modules (LKM), which allows the customization of an environment without compromising the base kernel environment or the stability of your system. Chase presents several examples that demonstrate how signed modules enhance system security by checking modules upon load against the ring of keys compiled into the kernel, preventing invalidly signed modules from being loaded.

Exploring the Safeguards in Loadable Kernel Modules
Avoiding the Introduction of Changes in Recompiling the Kernel that Result in an Unbootable System

In a post that explains how to use Oracle's Unbreakable Enterprise Kernel to protect a running Linux kernel, Robert Chase cautions against the introduction of changes in recompiling the kernel that might render the system unbootable. The key, he posts, is in using the Loadable Kernel Modules (LKM), which allows the customization of an environment without compromising the base kernel environment or the stability of your system. Chase presents several examples that demonstrate how signed modules enhance system security by checking modules upon load against the ring of keys compiled into the kernel, preventing invalidly signed modules from being loaded.

Exadata
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Oracle Advanced Analytics Helps Turkcell Combat Fraudulent Cell Phone Use
Exadata Analyzes 100 Terabytes (TB) of Data Faster than any Other Application
Communications fraud had become a major issue for Turkcell Hizmetleri, a leading provider of mobile communications in Turkey. The company implemented Oracle Exadata Database Machine X2-2 HC Full Rack, enabling its data analysts to build predictive antifraud models inside the Oracle Database and deploy them into Oracle Exadata for scoring, using Oracle Data Mining. According to Hasan Tonguç, Manager, Turkcell, “With Oracle Data Mining, a component of the Oracle Advanced Analytics Option, we can analyze large volumes of customer data and call-data records easier and faster than with any other tool and rapidly detect and combat fraudulent phone use.”
Oracle Advanced Analytics Helps Turkcell Combat Fraudulent Cell Phone Use
Exadata Analyzes 100 Terabytes (TB) of Data Faster than any Other Application
Communications fraud had become a major issue for Turkcell Hizmetleri, a leading provider of mobile communications in Turkey. The company implemented Oracle Exadata Database Machine X2-2 HC Full Rack, enabling its data analysts to build predictive antifraud models inside the Oracle Database and deploy them into Oracle Exadata for scoring, using Oracle Data Mining. According to Hasan Tonguç, Manager, Turkcell, “With Oracle Data Mining, a component of the Oracle Advanced Analytics Option, we can analyze large volumes of customer data and call-data records easier and faster than with any other tool and rapidly detect and combat fraudulent phone use.”
Oracle Advanced Analytics Helps Turkcell Combat Fraudulent Cell Phone Use
Exadata Analyzes 100 Terabytes (TB) of Data Faster than any Other Application
Communications fraud had become a major issue for Turkcell Hizmetleri, a leading provider of mobile communications in Turkey. The company implemented Oracle Exadata Database Machine X2-2 HC Full Rack, enabling its data analysts to build predictive antifraud models inside the Oracle Database and deploy them into Oracle Exadata for scoring, using Oracle Data Mining. According to Hasan Tonguç, Manager, Turkcell, “With Oracle Data Mining, a component of the Oracle Advanced Analytics Option, we can analyze large volumes of customer data and call-data records easier and faster than with any other tool and rapidly detect and combat fraudulent phone use.”
Cardinal Health Consolides 20 Legacy Databases onto Two Oracle Exadata Systems
IDC Case Study Identifies Numerous Gains Resulting from the Consolidation
IDC has published a case study entitled "Making Oracle Database Easier and Faster to Manage and Run: Cardinal Health's Consolidation on Oracle Exadata" that examines Cardinal Health's procedures in consolidating 20 legacy Unix-based RISC databases onto two Oracle Exadata X2-2 half-rack systems. Cardinal Health now runs product searches 43 times faster, and order query times have been cut from an average of 2.7 seconds to 0.17 seconds. Daily aggregate wait times now take 31 hours rather than 347. The CPUs in the legacy system typically ran at 77% of capacity. The CPUs of the two Oracle Exadata systems run at below 10%.
Cardinal Health Consolides 20 Legacy Databases onto Two Oracle Exadata Systems
IDC Case Study Identifies Numerous Gains Resulting from the Consolidation
IDC has published a case study entitled "Making Oracle Database Easier and Faster to Manage and Run: Cardinal Health's Consolidation on Oracle Exadata" that examines Cardinal Health's procedures in consolidating 20 legacy Unix-based RISC databases onto two Oracle Exadata X2-2 half-rack systems. Cardinal Health now runs product searches 43 times faster, and order query times have been cut from an average of 2.7 seconds to 0.17 seconds. Daily aggregate wait times now take 31 hours rather than 347. The CPUs in the legacy system typically ran at 77% of capacity. The CPUs of the two Oracle Exadata systems run at below 10%.
Cardinal Health Consolides 20 Legacy Databases onto Two Oracle Exadata Systems
IDC Case Study Identifies Numerous Gains Resulting from the Consolidation
IDC has published a case study entitled "Making Oracle Database Easier and Faster to Manage and Run: Cardinal Health's Consolidation on Oracle Exadata" that examines Cardinal Health's procedures in consolidating 20 legacy Unix-based RISC databases onto two Oracle Exadata X2-2 half-rack systems. Cardinal Health now runs product searches 43 times faster, and order query times have been cut from an average of 2.7 seconds to 0.17 seconds. Daily aggregate wait times now take 31 hours rather than 347. The CPUs in the legacy system typically ran at 77% of capacity. The CPUs of the two Oracle Exadata systems run at below 10%.
SPARC
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SPARC T5 Chip Performance and Bandwidth
Deep Dive with Rick Hetherington
The SPARC T5 Chip -- eight sockets, 16 cores, (total of 128) that can support eight individual threads for a a total of 1024 functional CPUs -- is the subject of a post by Rick Ramsey, who calls attention to a Q&A with Rick Hetherington that is a deep dive into the chip. Hetherington describes the technical details of the new SPARC T5 processor and expands on the process that is used to design these innovative chips.
SPARC T5 Chip Performance and Bandwidth
Deep Dive with Rick Hetherington
The SPARC T5 Chip -- eight sockets, 16 cores, (total of 128) that can support eight individual threads for a a total of 1024 functional CPUs -- is the subject of a post by Rick Ramsey, who calls attention to a Q&A with Rick Hetherington that is a deep dive into the chip. Hetherington describes the technical details of the new SPARC T5 processor and expands on the process that is used to design these innovative chips.
SPARC T5 Chip Performance and Bandwidth
Deep Dive with Rick Hetherington
The SPARC T5 Chip -- eight sockets, 16 cores, (total of 128) that can support eight individual threads for a a total of 1024 functional CPUs -- is the subject of a post by Rick Ramsey, who calls attention to a Q&A with Rick Hetherington that is a deep dive into the chip. Hetherington describes the technical details of the new SPARC T5 processor and expands on the process that is used to design these innovative chips.
Top10
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Top Ten Articles for last few Issues
Vol 178 Issue 1, 2,3 and 4 ; Vol 177 Issues 1, 2, 3 and 4
We track how frequently each article is viewed on the web site to determine which the readers consider the most important. For last week, the top 10 articles were:

  • Oracle Exalogic vs. IBM PureApplication System: A Dramatic Comparison
  • What's up with LDoms: Part 6 - Sizing the IO Domain
  • Top 10 OTN Tech Articles for 2012
  • Cloud Reference Architecture: White Paper
  • Oracle Enterprise Manager Cloud Control 12c: Managing Data Center Chaos'
  • Libre Office: Linux Journal Best Office Suite 2012
  • Oracle Secure Global Desktop Ensures Employee Productivity During Environmental Challenge
  • Access and Analyze Big Data at Lower Cost with Oracle Big Data Appliance X3-2
  • Securing the Cloud for Public Sector: Webcast
  • Java Spotlight Episode 114: Holiday Greetings 2012

The longer version of this article has list of top ten articles for the last 8 weeks.

    Top Ten Articles for last few Issues
    Vol 178 Issue 1, 2,3 and 4 ; Vol 177 Issues 1, 2, 3 and 4
    We track how frequently each article is viewed on the web site to determine which the readers consider the most important. For last week, the top 10 articles were:

    • Oracle Exalogic vs. IBM PureApplication System: A Dramatic Comparison
    • What's up with LDoms: Part 6 - Sizing the IO Domain
    • Top 10 OTN Tech Articles for 2012
    • Cloud Reference Architecture: White Paper
    • Oracle Enterprise Manager Cloud Control 12c: Managing Data Center Chaos'
    • Libre Office: Linux Journal Best Office Suite 2012
    • Oracle Secure Global Desktop Ensures Employee Productivity During Environmental Challenge
    • Access and Analyze Big Data at Lower Cost with Oracle Big Data Appliance X3-2
    • Securing the Cloud for Public Sector: Webcast
    • Java Spotlight Episode 114: Holiday Greetings 2012

    The longer version of this article has list of top ten articles for the last 8 weeks.

      Top Ten Articles for last few Issues
      Vol 178 Issue 1, 2,3 and 4 ; Vol 177 Issues 1, 2, 3 and 4
      We track how frequently each article is viewed on the web site to determine which the readers consider the most important. For last week, the top 10 articles were:

      • Oracle Exalogic vs. IBM PureApplication System: A Dramatic Comparison
      • What's up with LDoms: Part 6 - Sizing the IO Domain
      • Top 10 OTN Tech Articles for 2012
      • Cloud Reference Architecture: White Paper
      • Oracle Enterprise Manager Cloud Control 12c: Managing Data Center Chaos'
      • Libre Office: Linux Journal Best Office Suite 2012
      • Oracle Secure Global Desktop Ensures Employee Productivity During Environmental Challenge
      • Access and Analyze Big Data at Lower Cost with Oracle Big Data Appliance X3-2
      • Securing the Cloud for Public Sector: Webcast
      • Java Spotlight Episode 114: Holiday Greetings 2012

      The longer version of this article has list of top ten articles for the last 8 weeks.

        Virtualization
        x
        Resource Management with Parittioning, Constraints and Scheduling
        Enabling Technologies for Virtualization

        In the fourth article of his series on virtualization Detlef Drewanz discusses IT resource management as a technology that enables virtualization. Drewanz mentions constraints, scheduling, and partitioning as the three basic mechanisms of resource management typically used to guarantee various virtualization technologies access to limited and shared resources, explaining that these mechanisms are used for different resources based on the requirements of various workloads and virtualization technologies. The most prevalent means of controlling resources in hypervisor-based virtualization environments is partitioning. This is largely because partitioning, unlike constraints and scheduling, avoids overcommitment of CPU resources, he explains.

        Resource Management with Parittioning, Constraints and Scheduling
        Enabling Technologies for Virtualization

        In the fourth article of his series on virtualization Detlef Drewanz discusses IT resource management as a technology that enables virtualization. Drewanz mentions constraints, scheduling, and partitioning as the three basic mechanisms of resource management typically used to guarantee various virtualization technologies access to limited and shared resources, explaining that these mechanisms are used for different resources based on the requirements of various workloads and virtualization technologies. The most prevalent means of controlling resources in hypervisor-based virtualization environments is partitioning. This is largely because partitioning, unlike constraints and scheduling, avoids overcommitment of CPU resources, he explains.

        Resource Management with Parittioning, Constraints and Scheduling
        Enabling Technologies for Virtualization

        In the fourth article of his series on virtualization Detlef Drewanz discusses IT resource management as a technology that enables virtualization. Drewanz mentions constraints, scheduling, and partitioning as the three basic mechanisms of resource management typically used to guarantee various virtualization technologies access to limited and shared resources, explaining that these mechanisms are used for different resources based on the requirements of various workloads and virtualization technologies. The most prevalent means of controlling resources in hypervisor-based virtualization environments is partitioning. This is largely because partitioning, unlike constraints and scheduling, avoids overcommitment of CPU resources, he explains.

        Java Technology
        x
        Top 10 Java Stories of 2012
        A Good Year for Java Technology
        The top 10 Java Stories of 2012 as reported by Tori Wieldt reflect the abundant number of developments in Java technology throughout the year. The stories cover everything from JavaFX to Java SE 8 to activities in the Java Community Process to the naming of six new Java Champions. Wieldt provides links to each of these most read stories, remarking that "2012 was the right mix of code, corporation, and community for Java."
        Top 10 Java Stories of 2012
        A Good Year for Java Technology
        The top 10 Java Stories of 2012 as reported by Tori Wieldt reflect the abundant number of developments in Java technology throughout the year. The stories cover everything from JavaFX to Java SE 8 to activities in the Java Community Process to the naming of six new Java Champions. Wieldt provides links to each of these most read stories, remarking that "2012 was the right mix of code, corporation, and community for Java."
        Top 10 Java Stories of 2012
        A Good Year for Java Technology
        The top 10 Java Stories of 2012 as reported by Tori Wieldt reflect the abundant number of developments in Java technology throughout the year. The stories cover everything from JavaFX to Java SE 8 to activities in the Java Community Process to the naming of six new Java Champions. Wieldt provides links to each of these most read stories, remarking that "2012 was the right mix of code, corporation, and community for Java."
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