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  • Benchmarking Linux flash player and google chrome built in flash player

    - by Fischer
    I use xubuntu 14.04 64 bit, I installed flash player from software center and xubuntu-restricted-extras too Are there any benchmarks on Linux flash player and google chrome built in flash player? I just want to see their performance because in theory google's flash player should be more updated and have better performance than the one we use in Firefox. (that's what I read everywhere) I have chrome latest version installed and Firefox next, and I found that flash videos in Chrome are laggy and they take long time to load. While the same flash videos load much faster in Firefox and I tend to prefer watching flash videos in firefox, especially the long ones because it loads them so much faster. I can't believe these results on my PC, so is there any way to benchmark flash players performance on both browsers? I want to know if it's because of the flash player or the browsers or something else

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  • Mark Hurd and Balaji Yelamanchili present Oracle’s Business Analytics Strategy

    - by Mike.Hallett(at)Oracle-BI&EPM
    Join Mark Hurd and Balaji Yelamanchili as they unveil the latest advances in Oracle’s strategy for placing analytics into the hands of every decision-makers—so that they can see more, think smarter, and act faster. Wednesday, April 4, 2012   at 1.0 pm UK BST / 2.0 pm CET Register HERE today for this online event Agenda Keynote: Oracle’s Business Analytics StrategyMark Hurd, President, Oracle, and Balaji Yelamanchili, Senior Vice President, Analytics and Performance Management, Oracle Plus Breakout Sessions: Achieving Predictable Performance with Oracle Hyperion Enterprise Performance Managemen Explore All Relevant Data—Introducing Oracle Endeca Information Discovery Run Your Business Faster and Smarter with Oracle Business Intelligence Applications on Oracle Exalytics In-Memory Machine Analyzing and Deciding with Big Data

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  • BizTalk Server 2009 - Architecture Options

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

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  • How can Swift be so much faster than Objective-C in these comparisons?

    - by Yellow
    Apple launched its new programming language Swift at WWDC14. In the presentation, they made some performance comparisons between Objective-C and Python. The following is a picture of one of their slides, of a comparison of those three languages performing some complex object sort: There was an even more incredible graph about a performance comparison using the RC4 encryption algorithm. Obviously this is a marketing talk, and they didn't go into detail on how this was implemented in each. I leaves me wondering though: How can a new programming language be so much faster? Are the Objective-C results caused by a bad compiler or is there something less efficient in Objective-C than Swift? How would you explain a 40% performance increase? I understand that garbage collection/automated reference control might produce some additional overhead, but this much?

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  • Building a SOA/BPM/BAM Cluster Part I &ndash; Preparing the Environment

    - by antony.reynolds
    An increasing number of customers are using SOA Suite in a cluster configuration, I might hazard to say that the majority of production deployments are now using SOA clusters.  So I thought it may be useful to detail the steps in building an 11g cluster and explain a little about why things are done the way they are. In this series of posts I will explain how to build a SOA/BPM cluster using the Enterprise Deployment Guide. This post will explain the setting required to prepare the cluster for installation and configuration. Software Required The following software is required for an 11.1.1.3 SOA/BPM install. Software Version Notes Oracle Database Certified databases are listed here SOA & BPM Suites require a working database installation. Repository Creation Utility (RCU) 11.1.1.3 If upgrading an 11.1.1.2 repository then a separate script is available. Web Tier Utilities 11.1.1.3 Provides Web Server, 11.1.1.3 is an upgrade to 11.1.1.2, so 11.1.1.2 must be installed first. Web Tier Utilities 11.1.1.3 Web Server, 11.1.1.3 Patch.  You can use the 11.1.1.2 version without problems. Oracle WebLogic Server 11gR1 10.3.3 This is the host platform for 11.1.1.3 SOA/BPM Suites. SOA Suite 11.1.1.2 SOA Suite 11.1.1.3 is an upgrade to 11.1.1.2, so 11.1.1.2 must be installed first. SOA Suite 11.1.1.3 SOA Suite 11.1.1.3 patch, requires 11.1.12 to have been installed. My installation was performed on Oracle Enterprise Linux 5.4 64-bit. Database I will not cover setting up the database in this series other than to identify the database requirements.  If setting up a SOA cluster then ideally we would also be using a RAC database.  I assume that this is running on separate machines to the SOA cluster.  Section 2.1, “Database”, of the EDG covers the database configuration in detail. Settings The database should have processes set to at least 400 if running SOA/BPM and BAM. alter system set processes=400 scope=spfile Run RCU The Repository Creation Utility creates the necessary database tables for the SOA Suite.  The RCU can be run from any machine that can access the target database.  In 11g the RCU creates a number of pre-defined users and schema with a user defiend prefix.  This allows you to have multiple 11g installations in the same database. After running the RCU you need to grant some additional privileges to the soainfra user.  The soainfra user should have privileges on the transaction tables. grant select on sys.dba_pending_transactions to prefix_soainfra Grant force any transaction to prefix_soainfra Machines The cluster will be built on the following machines. EDG Name is the name used for this machine in the EDG. Notes are a description of the purpose of the machine. EDG Name Notes LB External load balancer to distribute load across and failover between web servers. WEBHOST1 Hosts a web server. WEBHOST2 Hosts a web server. SOAHOST1 Hosts SOA components. SOAHOST2 Hosts SOA components. BAMHOST1 Hosts BAM components. BAMHOST2 Hosts BAM components. Note that it is possible to collapse the BAM servers so that they run on the same machines as the SOA servers. In this case BAMHOST1 and SOAHOST1 would be the same, as would BAMHOST2 and SOAHOST2. The cluster may include more than 2 servers and in this case we add SOAHOST3, SOAHOST4 etc as needed. My cluster has WEBHOST1, SOAHOST1 and BAMHOST1 all running on a single machine. Software Components The cluster will use the following software components. EDG Name is the name used for this machine in the EDG. Type is the type of component, generally a WebLogic component. Notes are a description of the purpose of the component. EDG Name Type Notes AdminServer Admin Server Domain Admin Server WLS_WSM1 Managed Server Web Services Manager Policy Manager Server WLS_WSM2 Managed Server Web Services Manager Policy Manager Server WLS_SOA1 Managed Server SOA/BPM Managed Server WLS_SOA2 Managed Server SOA/BPM Managed Server WLS_BAM1 Managed Server BAM Managed Server running Active Data Cache WLS_BAM2 Managed Server BAM Manager Server without Active Data Cache   Node Manager Will run on all hosts with WLS servers OHS1 Web Server Oracle HTTP Server OHS2 Web Server Oracle HTTP Server LB Load Balancer Load Balancer, not part of SOA Suite The above assumes a 2 node cluster. Network Configuration The SOA cluster requires an extensive amount of network configuration.  I would recommend assigning a private sub-net (internal IP addresses such as 10.x.x.x, 192.168.x.x or 172.168.x.x) to the cluster for use by addresses that only need to be accessible to the Load Balancer or other cluster members.  Section 2.2, "Network", of the EDG covers the network configuration in detail. EDG Name is the hostname used in the EDG. IP Name is the IP address name used in the EDG. Type is the type of IP address: Fixed is fixed to a single machine. Floating is assigned to one of several machines to allow for server migration. Virtual is assigned to a load balancer and used to distribute load across several machines. Host is the host where this IP address is active.  Note for floating IP addresses a range of hosts is given. Bound By identifies which software component will use this IP address. Scope shows where this IP address needs to be resolved. Cluster scope addresses only have to be resolvable by machines in the cluster, i.e. the machines listed in the previous section.  These addresses are only used for inter-cluster communication or for access by the load balancer. Internal scope addresses Notes are comments on why that type of IP is used. EDG Name IP Name Type Host Bound By Scope Notes ADMINVHN VIP1 Floating SOAHOST1-SOAHOSTn AdminServer Cluster Admin server, must be able to migrate between SOA server machines. SOAHOST1 IP1 Fixed SOAHOST1 NodeManager, WLS_WSM1 Cluster WSM Server 1 does not require server migration. SOAHOST2 IP2 Fixed SOAHOST1 NodeManager, WLS_WSM2 Cluster WSM Server 2 does not require server migration SOAHOST1VHN VIP2 Floating SOAHOST1-SOAHOSTn WLS_SOA1 Cluster SOA server 1, must be able to migrate between SOA server machines SOAHOST2VHN VIP3 Floating SOAHOST1-SOAHOSTn WLS_SOA2 Cluster SOA server 2, must be able to migrate between SOA server machines BAMHOST1 IP4 Fixed BAMHOST1 NodeManager Cluster   BAMHOST1VHN VIP4 Floating BAMHOST1-BAMHOSTn WLS_BAM1 Cluster BAM server 1, must be able to migrate between BAM server machines BAMHOST2 IP3 Fixed BAMHOST2 NodeManager, WLS_BAM2 Cluster BAM server 2 does not require server migration WEBHOST1 IP5 Fixed WEBHOST1 OHS1 Cluster   WEBHOST2 IP6 Fixed WEBHOST2 OHS2 Cluster   soa.mycompany.com VIP5 Virtual LB LB Public External access point to SOA cluster. admin.mycompany.com VIP6 Virtual LB LB Internal Internal access to WLS console and EM soainternal.mycompany.com VIP7 Virtual LB LB Internal Internal access point to SOA cluster Floating IP addresses are IP addresses that may be re-assigned between machines in the cluster.  For example in the event of failure of SOAHOST1 then WLS_SOA1 will need to be migrated to another server.  In this case VIP2 (SOAHOST1VHN) will need to be activated on the new target machine.  Once set up the node manager will manage registration and removal of the floating IP addresses with the exception of the AdminServer floating IP address. Note that if the BAMHOSTs and SOAHOSTs are the same machine then you can obviously share the hostname and fixed IP addresses, but you still need separate floating IP addresses for the different managed servers.  The hostnames don’t have to be the ones given in the EDG, but they must be distinct in the same way as the ETC names are distinct.  If the type is a fixed IP then if the addresses are the same you can use the same hostname, for example if you collapse the soahost1, bamhost1 and webhost1 onto a single machine then you could refer to them all as HOST1 and give them the same IP address, however SOAHOST1VHN can never be the same as BAMHOST1VHN because these are floating IP addresses. Notes on DNS IP addresses that are of scope “Cluster” just need to be in the hosts file (/etc/hosts on Linux, C:\Windows\System32\drivers\etc\hosts on Windows) of all the machines in the cluster and the load balancer.  IP addresses that are of scope “Internal” need to be available on the internal DNS servers, whilst IP addresses of scope “Public” need to be available on external and internal DNS servers. Shared File System At a minimum the cluster needs shared storage for the domain configuration, XA transaction logs and JMS file stores.  It is also possible to place the software itself on a shared server.  I strongly recommend that all machines have the same file structure for their SOA installation otherwise you will experience pain!  Section 2.3, "Shared Storage and Recommended Directory Structure", of the EDG covers the shared storage recommendations in detail. The following shorthand is used for locations: ORACLE_BASE is the root of the file system used for software and configuration files. MW_HOME is the location used by the installed SOA/BPM Suite installation.  This is also used by the web server installation.  In my installation it is set to <ORACLE_BASE>/SOA11gPS2. ORACLE_HOME is the location of the Oracle SOA components or the Oracle Web components.  This directory is installed under the the MW_HOME but the name is decided by the user at installation, default values are Oracle_SOA1 and Oracle_Web1.  In my installation they are set to <MW_HOME>/Oracle_SOA and <MW_HOME>/Oracle _WEB. ORACLE_COMMON_HOME is the location of the common components and is located under the MW_HOME directory.  This is always <MW_HOME>/oracle_common. ORACLE_INSTANCE is used by the Oracle HTTP Server and/or Oracle Web Cache.  It is recommended to create it under <ORACLE_BASE>/admin.  In my installation they are set to <ORACLE_BASE>/admin/Web1, <ORACLE_BASE>/admin/Web2 and <ORACLE_BASE>/admin/WC1. WL_HOME is the WebLogic server home and is always found at <MW_HOME>/wlserver_10.3. Key file locations are shown below. Directory Notes <ORACLE_BASE>/admin/domain_name/aserver/domain_name Shared location for domain.  Used to allow admin server to manually fail over between machines.  When creating domain_name provide the aserver directory as the location for the domain. In my install this is <ORACLE_BASE>/admin/aserver/soa_domain as I only have one domain on the box. <ORACLE_BASE>/admin/domain_name/aserver/applications Shared location for deployed applications.  Needs to be provided when creating the domain. In my install this is <ORACLE_BASE>/admin/aserver/applications as I only have one domain on the box. <ORACLE_BASE>/admin/domain_name/mserver/domain_name Either unique location for each machine or can be shared between machines to simplify task of packing and unpacking domain.  This acts as the managed server configuration location.  Keeping it separate from Admin server helps to avoid problems with the managed servers messing up the Admin Server. In my install this is <ORACLE_BASE>/admin/mserver/soa_domain as I only have one domain on the box. <ORACLE_BASE>/admin/domain_name/mserver/applications Either unique location for each machine or can be shared between machines.  Holds deployed applications. In my install this is <ORACLE_BASE>/admin/mserver/applications as I only have one domain on the box. <ORACLE_BASE>/admin/domain_name/soa_cluster_name Shared directory to hold the following   dd – deployment descriptors   jms – shared JMS file stores   fadapter – shared file adapter co-ordination files   tlogs – shared transaction log files In my install this is <ORACLE_BASE>/admin/soa_cluster. <ORACLE_BASE>/admin/instance_name Local folder for web server (OHS) instance. In my install this is <ORACLE_BASE>/admin/web1 and <ORACLE_BASE>/admin/web2. I also have <ORACLE_BASE>/admin/wc1 for the Web Cache I use as a load balancer. <ORACLE_BASE>/product/fmw This can be a shared or local folder for the SOA/BPM Suite software.  I used a shared location so I only ran the installer once. In my install this is <ORACLE_BASE>/SOA11gPS2 All the shared files need to be put onto a shared storage media.  I am using NFS, but recommendation for production would be a SAN, with mirrored disks for resilience. Collapsing Environments To reduce the hardware requirements it is possible to collapse the BAMHOST, SOAHOST and WEBHOST machines onto a single physical machine.  This will require more memory but memory is a lot cheaper than additional machines.  For environments that require higher security then stay with a separate WEBHOST tier as per the EDG.  Similarly for high volume environments then keep a separate set of machines for BAM and/or Web tier as per the EDG. Notes on Dev Environments In a dev environment it is acceptable to use a a single node (non-RAC) database, but be aware that the config of the data sources is different (no need to use multi-data source in WLS).  Typically in a dev environment we will collapse the BAMHOST, SOAHOST and WEBHOST onto a single machine and use a software load balancer.  To test a cluster properly we will need at least 2 machines. For my test environment I used Oracle Web Cache as a load balancer.  I ran it on one of the SOA Suite machines and it load balanced across the Web Servers on both machines.  This was easy for me to set up and I could administer it from a web based console.

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  • GDC 2012: From Console to Chrome

    GDC 2012: From Console to Chrome (Pre-recorded GDC content) Cutting-edge HTML5 brings high performance console-style 3d games to the browser, but developing a modern HTML5 game engine can be a challenge. Adapting to HTML5 and Javascript can be bewildering to game programmers coming from C / C++. This talk is an overview of the tools, techniques, and topics you need to be familiar with to adapt to programming high performance 3D games for the web. Topics will include cutting edge HTML5 APIs, writing high performance Javascript, and profiling / debugging tools. Speaker: Lilli Thompson From: GoogleDevelopers Views: 3845 80 ratings Time: 01:02:14 More in Science & Technology

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  • 10 Reasons Why Java is the Top Embedded Platform

    - by Roger Brinkley
    With the release of Oracle ME Embedded 3.2 and Oracle Java Embedded Suite, Java is now ready to fully move into the embedded developer space, what many have called the "Internet of Things". Here are 10 reasons why Java is the top embedded platform. 1. Decouples software development from hardware development cycle Development is typically split between both hardware and software in a traditional design flow . This leads to complicated co-design and requires prototype hardware to be built. This parallel and interdependent hardware / software design process typically leads to two or more re-development phases. With Embedded Java, all specific work is carried out in software, with the (processor) hardware implementation fully decoupled. This with eliminate or at least reduces the need for re-spins of software or hardware and the original development efforts can be carried forward directly into product development and validation. 2. Development and testing can be done (mostly) using standard desktop systems through emulation Because the software and hardware are decoupled it now becomes easier to test the software long before it reaches the hardware through hardware emulation. Emulation is the ability of a program in an electronic device to imitate another program or device. In the past Java tools like the Java ME SDK and the SunSPOTs Solarium provided developers with emulation for a complete set of mobile telelphones and SunSpots. This often included network interaction or in the case of SunSPOTs radio communication. What emulation does is speed up the development cycle by refining the software development process without the need of hardware. The software is fixed, redefined, and refactored without the timely expense of hardware testing. With tools like the Java ME 3.2 SDK, Embedded Java applications can be be quickly developed on Windows based platforms. In the end of course developers should do a full set of testing on the hardware as incompatibilities between emulators and hardware will exist, but the amount of time to do this should be significantly reduced. 3. Highly productive language, APIs, runtime, and tools mean quick time to market Charles Nutter probably said it best in twitter blog when he tweeted, "Every time I see a piece of C code I need to port, my heart dies a little. Then I port it to 1/4 as much Java, and feel better." The Java environment is a very complex combination of a Java Virtual Machine, the Java Language, and it's robust APIs. Combine that with the Java ME SDK for small devices or just Netbeans for the larger devices and you have a development environment where development time is reduced significantly meaning the product can be shipped sooner. Of course this is assuming that the engineers don't get slap happy adding new features given the extra time they'll have.  4. Create high-performance, portable, secure, robust, cross-platform applications easily The latest JIT compilers for the Oracle JVM approach the speed of C/C++ code, and in some memory allocation intensive circumstances, exceed it. And specifically for the embedded devices both ME Embedded and SE Embedded have been optimized for the smaller footprints.  In portability Java uses Bytecode to make the language platform independent. This creates a write once run anywhere environment that allows you to develop on one platform and execute on others and avoids a platform vendor lock in. For security, Java achieves protection by confining a Java program to a Java execution environment and not allowing it to access other parts of computer.  In variety of systems the program must execute reliably to be robust. Finally, Oracle Java ME Embedded is a cross-industry and cross-platform product optimized in release version 3.2 for chipsets based on the ARM architectures. Similarly Oracle Java SE Embedded works on a variety of ARM V5, V6, and V7, X86 and Power Architecture Linux. 5. Java isolates your apps from language and platform variations (e.g. C/C++, kernel, libc differences) This has been a key factor in Java from day one. Developers write to Java and don't have to worry about underlying differences in the platform variations. Those platform variations are being managed by the JVM. Gone are the C/C++ problems like memory corruptions, stack overflows, and other such bugs which are extremely difficult to isolate. Of course this doesn't imply that you won't be able to get away from native code completely. There could be some situations where you have to write native code in either assembler or C/C++. But those instances should be limited. 6. Most popular embedded processors supported allowing design flexibility Java SE Embedded is now available on ARM V5, V6, and V7 along with Linux on X86 and Power Architecture platforms. Java ME Embedded is available on system based on ARM architecture SOCs with low memory footprints and a device emulation environment for x86/Windows desktop computers, integrated with the Java ME SDK 3.2. A standard binary of Oracle Java ME Embedded 3.2 for ARM KEIL development boards based on ARM Cortex M-3/4 (KEIL MCBSTM32F200 using ST Micro SOC STM32F207IG) will soon be available for download from the Oracle Technology Network (OTN). 7. Support for key embedded features (low footprint, power mgmt., low latency, etc) All embedded devices by there very nature are constrained in some way. Economics may dictate a device with a less RAM and ROM. The CPU needs can dictate a less powerful device. Power consumption is another major resource in some embedded devices as connecting to consistent power source not always desirable or possible. For others they have to constantly on. Often many of these systems are headless (in the embedded space it's almost always Halloween).  For memory resources ,Java ME Embedded can run in environment as low as 130KB RAM/350KB ROM for a minimal, customized configuration up to 700KB RAM/1500KB ROM for the full, standard configuration. Java SE Embedded is designed for environments starting at 32MB RAM/39MB  ROM. Key functionality of embedded devices such as auto-start and recovery, flexible networking are fully supported. And while Java SE Embedded has been optimized for mid-range to high-end embedded systems, Java ME Embedded is a Java runtime stack optimized for small embedded systems. It provides a robust and flexible application platform with dedicated embedded functionality for always-on, headless (no graphics/UI), and connected devices. 8. Leverage huge Java developer ecosystem (expertise, existing code) There are over 9 million developers in world that work on Java, and while not all of them work on embedded systems, their wealth of expertise in developing applications is immense. In short, getting a java developer to work on a embedded system is pretty easy, you probably have a java developer living in your subdivsion.  Then of course there is the wealth of existing code. The Java Embedded Community on Java.net is central gathering place for embedded Java developers. Conferences like Embedded Java @ JavaOne and the a variety of hardware vendor conferences like Freescale Technlogy Forums offer an excellent opportunity for those interested in embedded systems. 9. Easily create end-to-end solutions integrated with Java back-end services In the "Internet of Things" things aren't on an island doing an single task. For instance and embedded drink dispenser doesn't just dispense a beverage, but could collect money from a credit card and also send information about current sales. Similarly, an embedded house power monitoring system doesn't just manage the power usage in a house, but can also send that data back to the power company. In both cases it isn't about the individual thing, but monitoring a collection of  things. How much power did your block, subdivsion, area of town, town, county, state, nation, world use? How many Dr Peppers were purchased from thing1, thing2, thingN? The point is that all this information can be collected and transferred securely  (and believe me that is key issue that Java fully supports) to back end services for further analysis. And what better back in service exists than a Java back in service. It's interesting to note that on larger embedded platforms that support the Java Embedded Suite some of the analysis might be done on the embedded device itself as JES has a glassfish server and Java Database as part of the installation. The result is an end to end Java solution. 10. Solutions from constrained devices to server-class systems Just take a look at some of the embedded Java systems that have already been developed and you'll see a vast range of solutions. Livescribe pen, Kindle, each and every Blu-Ray player, Cisco's Advanced VOIP phone, KronosInTouch smart time clock, EnergyICT smart metering, EDF's automated meter management, Ricoh Printers, and Stanford's automated car  are just a few of the list of embedded Java implementation that continues to grow. Conclusion Now if your a Java Developer you probably look at some of the 10 reasons and say "duh", but for the embedded developers this is should be an eye opening list. And with the release of ME Embedded 3.2 and the Java Embedded Suite the embedded developers life is now a whole lot easier. For the Java developer your employment opportunities are about to increase. For both it's a great time to start developing Java for the "Internet of Things".

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  • SPARC T4-4 Delivers World Record First Result on PeopleSoft Combined Benchmark

    - by Brian
    Oracle's SPARC T4-4 servers running Oracle's PeopleSoft HCM 9.1 combined online and batch benchmark achieved World Record 18,000 concurrent users while executing a PeopleSoft Payroll batch job of 500,000 employees in 43.32 minutes and maintaining online users response time at < 2 seconds. This world record is the first to run online and batch workloads concurrently. This result was obtained with a SPARC T4-4 server running Oracle Database 11g Release 2, a SPARC T4-4 server running PeopleSoft HCM 9.1 application server and a SPARC T4-2 server running Oracle WebLogic Server in the web tier. The SPARC T4-4 server running the application tier used Oracle Solaris Zones which provide a flexible, scalable and manageable virtualization environment. The average CPU utilization on the SPARC T4-2 server in the web tier was 17%, on the SPARC T4-4 server in the application tier it was 59%, and on the SPARC T4-4 server in the database tier was 35% (online and batch) leaving significant headroom for additional processing across the three tiers. The SPARC T4-4 server used for the database tier hosted Oracle Database 11g Release 2 using Oracle Automatic Storage Management (ASM) for database files management with I/O performance equivalent to raw devices. This is the first three tier mixed workload (online and batch) PeopleSoft benchmark also processing PeopleSoft payroll batch workload. Performance Landscape PeopleSoft HR Self-Service and Payroll Benchmark Systems Users Ave Response Search (sec) Ave Response Save (sec) Batch Time (min) Streams SPARC T4-2 (web) SPARC T4-4 (app) SPARC T4-2 (db) 18,000 0.944 0.503 43.32 64 Configuration Summary Application Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 512 GB memory 5 x 300 GB SAS internal disks 1 x 100 GB and 2 x 300 GB internal SSDs 2 x 10 Gbe HBA Oracle Solaris 11 11/11 PeopleTools 8.52 PeopleSoft HCM 9.1 Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031 Java Platform, Standard Edition Development Kit 6 Update 32 Database Configuration: 1 x SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 256 GB memory 3 x 300 GB SAS internal disks Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Web Tier Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 2 x 300 GB SAS internal disks 1 x 100 GB internal SSD Oracle Solaris 11 11/11 PeopleTools 8.52 Oracle WebLogic Server 10.3.4 Java Platform, Standard Edition Development Kit 6 Update 32 Storage Configuration: 1 x Sun Server X2-4 as a COMSTAR head for data 4 x Intel Xeon X7550, 2.0 GHz 128 GB memory 1 x Sun Storage F5100 Flash Array (80 flash modules) 1 x Sun Storage F5100 Flash Array (40 flash modules) 1 x Sun Fire X4275 as a COMSTAR head for redo logs 12 x 2 TB SAS disks with Niwot Raid controller Benchmark Description This benchmark combines PeopleSoft HCM 9.1 HR Self Service online and PeopleSoft Payroll batch workloads to run on a unified database deployed on Oracle Database 11g Release 2. The PeopleSoft HRSS benchmark kit is a Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark where DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published. PeopleSoft HR SS defines a business transaction as a series of HTML pages that guide a user through a particular scenario. Users are defined as corporate Employees, Managers and HR administrators. The benchmark consist of 14 scenarios which emulate users performing typical HCM transactions such as viewing paycheck, promoting and hiring employees, updating employee profile and other typical HCM application transactions. All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. This benchmark metric is the weighted average response search/save time for all the transactions. The PeopleSoft 9.1 Payroll (North America) benchmark demonstrates system performance for a range of processing volumes in a specific configuration. This workload represents large batch runs typical of a ERP environment during a mass update. The benchmark measures five application business process run times for a database representing large organization. They are Paysheet Creation, Payroll Calculation, Payroll Confirmation, Print Advice forms, and Create Direct Deposit File. The benchmark metric is the cumulative elapsed time taken to complete the Paysheet Creation, Payroll Calculation and Payroll Confirmation business application processes. The benchmark metrics are taken for each respective benchmark while running simultaneously on the same database back-end. Specifically, the payroll batch processes are started when the online workload reaches steady state (the maximum number of online users) and overlap with online transactions for the duration of the steady state. Key Points and Best Practices Two Oracle PeopleSoft Domain sets with 200 application servers each on a SPARC T4-4 server were hosted in 2 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers, ease of administration and performance tuning. Each Oracle Solaris Zone was bound to a separate processor set, each containing 15 cores (total 120 threads). The default set (1 core from first and third processor socket, total 16 threads) was used for network and disk interrupt handling. This was done to improve performance by reducing memory access latency by using the physical memory closest to the processors and offload I/O interrupt handling to default set threads, freeing up cpu resources for Application Servers threads and balancing application workload across 240 threads. See Also Oracle PeopleSoft Benchmark White Papers oracle.com SPARC T4-2 Server oracle.com OTN SPARC T4-4 Server oracle.com OTN PeopleSoft Enterprise Human Capital Management oracle.com OTN PeopleSoft Enterprise Human Capital Management (Payroll) oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Oracle's PeopleSoft HR and Payroll combined benchmark, www.oracle.com/us/solutions/benchmark/apps-benchmark/peoplesoft-167486.html, results 09/30/2012.

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  • IBM "per core" comparisons for SPECjEnterprise2010

    - by jhenning
    I recently stumbled upon a blog entry from Roman Kharkovski (an IBM employee) comparing some SPECjEnterprise2010 results for IBM vs. Oracle. Mr. Kharkovski's blog claims that SPARC delivers half the transactions per core vs. POWER7. Prior to any argument, I should say that my predisposition is to like Mr. Kharkovski, because he says that his blog is intended to be factual; that the intent is to try to avoid marketing hype and FUD tactic; and mostly because he features a picture of himself wearing a bike helmet (me too). Therefore, in a spirit of technical argument, rather than FUD fight, there are a few areas in his comparison that should be discussed. Scaling is not free For any benchmark, if a small system scores 13k using quantity R1 of some resource, and a big system scores 57k using quantity R2 of that resource, then, sure, it's tempting to divide: is  13k/R1 > 57k/R2 ? It is tempting, but not necessarily educational. The problem is that scaling is not free. Building big systems is harder than building small systems. Scoring  13k/R1  on a little system provides no guarantee whatsoever that one can sustain that ratio when attempting to handle more than 4 times as many users. Choosing the denominator radically changes the picture When ratios are used, one can vastly manipulate appearances by the choice of denominator. In this case, lots of choices are available for the resource to be compared (R1 and R2 above). IBM chooses to put cores in the denominator. Mr. Kharkovski provides some reasons for that choice in his blog entry. And yet, it should be noted that the very concept of a core is: arbitrary: not necessarily comparable across vendors; fluid: modern chips shift chip resources in response to load; and invisible: unless you have a microscope, you can't see it. By contrast, one can actually see processor chips with the naked eye, and they are a bit easier to count. If we put chips in the denominator instead of cores, we get: 13161.07 EjOPS / 4 chips = 3290 EjOPS per chip for IBM vs 57422.17 EjOPS / 16 chips = 3588 EjOPS per chip for Oracle The choice of denominator makes all the difference in the appearance. Speaking for myself, dividing by chips just seems to make more sense, because: I can see chips and count them; and I can accurately compare the number of chips in my system to the count in some other vendor's system; and Tthe probability of being able to continue to accurately count them over the next 10 years of microprocessor development seems higher than the probability of being able to accurately and comparably count "cores". SPEC Fair use requirements Speaking as an individual, not speaking for SPEC and not speaking for my employer, I wonder whether Mr. Kharkovski's blog article, taken as a whole, meets the requirements of the SPEC Fair Use rule www.spec.org/fairuse.html section I.D.2. For example, Mr. Kharkovski's footnote (1) begins Results from http://www.spec.org as of 04/04/2013 Oracle SUN SPARC T5-8 449 EjOPS/core SPECjEnterprise2010 (Oracle's WLS best SPECjEnterprise2010 EjOPS/core result on SPARC). IBM Power730 823 EjOPS/core (World Record SPECjEnterprise2010 EJOPS/core result) The questionable tactic, from a Fair Use point of view, is that there is no such metric at the designated location. At www.spec.org, You can find the SPEC metric 57422.17 SPECjEnterprise2010 EjOPS for Oracle and You can also find the SPEC metric 13161.07 SPECjEnterprise2010 EjOPS for IBM. Despite the implication of the footnote, you will not find any mention of 449 nor anything that says 823. SPEC says that you can, under its fair use rule, derive your own values; but it emphasizes: "The context must not give the appearance that SPEC has created or endorsed the derived value." Substantiation and transparency Although SPEC disclaims responsibility for non-SPEC information (section I.E), it says that non-SPEC data and methods should be accurate, should be explained, should be substantiated. Unfortunately, it is difficult or impossible for the reader to independently verify the pricing: Were like units compared to like (e.g. list price to list price)? Were all components (hw, sw, support) included? Were all fees included? Note that when tpc.org shows IBM pricing, there are often items such as "PROCESSOR ACTIVATION" and "MEMORY ACTIVATION". Without the transparency of a detailed breakdown, the pricing claims are questionable. T5 claim for "Fastest Processor" Mr. Kharkovski several times questions Oracle's claim for fastest processor, writing You see, when you publish industry benchmarks, people may actually compare your results to other vendor's results. Well, as we performance people always say, "it depends". If you believe in performance-per-core as the primary way of looking at the world, then yes, the POWER7+ is impressive, spending its chip resources to support up to 32 threads (8 cores x 4 threads). Or, it just might be useful to consider performance-per-chip. Each SPARC T5 chip allows 128 hardware threads to be simultaneously executing (16 cores x 8 threads). The Industry Standard Benchmark that focuses specifically on processor chip performance is SPEC CPU2006. For this very well known and popular benchmark, SPARC T5: provides better performance than both POWER7 and POWER7+, for 1 chip vs. 1 chip, for 8 chip vs. 8 chip, for integer (SPECint_rate2006) and floating point (SPECfp_rate2006), for Peak tuning and for Base tuning. For example, at the 8-chip level, integer throughput (SPECint_rate2006) is: 3750 for SPARC 2170 for POWER7+. You can find the details at the March 2013 BestPerf CPU2006 page SPEC is a trademark of the Standard Performance Evaluation Corporation, www.spec.org. The two specific results quoted for SPECjEnterprise2010 are posted at the URLs linked from the discussion. Results for SPEC CPU2006 were verified at spec.org 1 July 2013, and can be rechecked here.

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  • NoSQL Java API for MySQL Cluster: Questions & Answers

    - by Mat Keep
    The MySQL Cluster engineering team recently ran a live webinar, available now on-demand demonstrating the ClusterJ and ClusterJPA NoSQL APIs for MySQL Cluster, and how these can be used in building real-time, high scale Java-based services that require continuous availability. Attendees asked a number of great questions during the webinar, and I thought it would be useful to share those here, so others are also able to learn more about the Java NoSQL APIs. First, a little bit about why we developed these APIs and why they are interesting to Java developers. ClusterJ and Cluster JPA ClusterJ is a Java interface to MySQL Cluster that provides either a static or dynamic domain object model, similar to the data model used by JDO, JPA, and Hibernate. A simple API gives users extremely high performance for common operations: insert, delete, update, and query. ClusterJPA works with ClusterJ to extend functionality, including - Persistent classes - Relationships - Joins in queries - Lazy loading - Table and index creation from object model By eliminating data transformations via SQL, users get lower data access latency and higher throughput. In addition, Java developers have a more natural programming method to directly manage their data, with a complete, feature-rich solution for Object/Relational Mapping. As a result, the development of Java applications is simplified with faster development cycles resulting in accelerated time to market for new services. MySQL Cluster offers multiple NoSQL APIs alongside Java: - Memcached for a persistent, high performance, write-scalable Key/Value store, - HTTP/REST via an Apache module - C++ via the NDB API for the lowest absolute latency. Developers can use SQL as well as NoSQL APIs for access to the same data set via multiple query patterns – from simple Primary Key lookups or inserts to complex cross-shard JOINs using Adaptive Query Localization Marrying NoSQL and SQL access to an ACID-compliant database offers developers a number of benefits. MySQL Cluster’s distributed, shared-nothing architecture with auto-sharding and real time performance makes it a great fit for workloads requiring high volume OLTP. Users also get the added flexibility of being able to run real-time analytics across the same OLTP data set for real-time business insight. OK – hopefully you now have a better idea of why ClusterJ and JPA are available. Now, for the Q&A. Q & A Q. Why would I use Connector/J vs. ClusterJ? A. Partly it's a question of whether you prefer to work with SQL (Connector/J) or objects (ClusterJ). Performance of ClusterJ will be better as there is no need to pass through the MySQL Server. A ClusterJ operation can only act on a single table (e.g. no joins) - ClusterJPA extends that capability Q. Can I mix different APIs (ie ClusterJ, Connector/J) in our application for different query types? A. Yes. You can mix and match all of the API types, SQL, JDBC, ODBC, ClusterJ, Memcached, REST, C++. They all access the exact same data in the data nodes. Update through one API and new data is instantly visible to all of the others. Q. How many TCP connections would a SessionFactory instance create for a cluster of 8 data nodes? A. SessionFactory has a connection to the mgmd (management node) but otherwise is just a vehicle to create Sessions. Without using connection pooling, a SessionFactory will have one connection open with each data node. Using optional connection pooling allows multiple connections from the SessionFactory to increase throughput. Q. Can you give details of how Cluster J optimizes sharding to enhance performance of distributed query processing? A. Each data node in a cluster runs a Transaction Coordinator (TC), which begins and ends the transaction, but also serves as a resource to operate on the result rows. While an API node (such as a ClusterJ process) can send queries to any TC/data node, there are performance gains if the TC is where most of the result data is stored. ClusterJ computes the shard (partition) key to choose the data node where the row resides as the TC. Q. What happens if we perform two primary key lookups within the same transaction? Are they sent to the data node in one transaction? A. ClusterJ will send identical PK lookups to the same data node. Q. How is distributed query processing handled by MySQL Cluster ? A. If the data is split between data nodes then all of the information will be transparently combined and passed back to the application. The session will connect to a data node - typically by hashing the primary key - which then interacts with its neighboring nodes to collect the data needed to fulfil the query. Q. Can I use Foreign Keys with MySQL Cluster A. Support for Foreign Keys is included in the MySQL Cluster 7.3 Early Access release Summary The NoSQL Java APIs are packaged with MySQL Cluster, available for download here so feel free to take them for a spin today! Key Resources MySQL Cluster on-line demo  MySQL ClusterJ and JPA On-demand webinar  MySQL ClusterJ and JPA documentation MySQL ClusterJ and JPA whitepaper and tutorial

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  • Implementing Oracle Exadata for Oracle Utilities Customer Care And Billing

    - by ACShorten
    In association with our performance team, a new whitepaper has been released for Oracle Utilities Customer Care And Billing that outlines the best practices for using Oracle Exadata with that product. The advice in the whitepaper is based upon certification and performance testing performed by our internal performance teams to assit in sites implementing the database component of Oracle Utilities Customer Care And Billing on an Oracle Exadata platform. It is recommended that the contents of this whitepaper be used alongside existing best practices for the Oracle Exadata platform. The whitepaper is available from My Oracle Support under Implementing Oracle Exadata with Oracle Utilities Customer Care and Billing (Dod Id: 1486886.1)

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  • Visual Studio Load Testing using Windows Azure

    - by Tarun Arora
    In my opinion the biggest adoption barrier in performance testing on smaller projects is not the tooling but the high infrastructure and administration cost that comes with this phase of testing. Only if a reusable solution was possible and infrastructure management wasn’t as expensive, adoption would certainly spike. It certainly is possible if you bring Visual Studio and Windows Azure into the equation. It is possible to run your test rig in the cloud without getting tangled in SCVMM or Lab Management. All you need is an active Azure subscription, Windows Azure endpoint enabled developer workstation running visual studio ultimate on premise, windows azure endpoint enabled worker roles on azure compute instances set up to run as test controllers and test agents. My test rig is running SQL server 2012 and Visual Studio 2012 RC agents. The beauty is that the solution is reusable, you can open the azure project, change the subscription and certificate, click publish and *BOOM* in less than 15 minutes you could have your own test rig running in the cloud. In this blog post I intend to show you how you can use the power of Windows Azure to effectively abstract the administration cost of infrastructure management and lower the total cost of Load & Performance Testing. As a bonus, I will share a reusable solution that you can use to automate test rig creation for both VS 2010 agents as well as VS 2012 agents. Introduction The slide show below should help you under the high level details of what we are trying to achive... Leveraging Azure for Performance Testing View more PowerPoint from Avanade Scenario 1 – Running a Test Rig in Windows Azure To start off with the basics, in the first scenario I plan to discuss how to, - Automate deployment & configuration of Windows Azure Worker Roles for Test Controller and Test Agent - Automate deployment & configuration of SQL database on Test Controller on the Test Controller Worker Role - Scaling Test Agents on demand - Creating a Web Performance Test and a simple Load Test - Managing Test Controllers right from Visual Studio on Premise Developer Workstation - Viewing results of the Load Test - Cleaning up - Have the above work in the shape of a reusable solution for both VS2010 and VS2012 Test Rig Scenario 2 – The scaled out Test Rig and sharing data using SQL Azure A scaled out version of this implementation would involve running multiple test rigs running in the cloud, in this scenario I will show you how to sync the load test database from these distributed test rigs into one SQL Azure database using Azure sync. The selling point for this scenario is being able to collate the load test efforts from across the organization into one data store. - Deploy multiple test rigs using the reusable solution from scenario 1 - Set up and configure Windows Azure Sync - Test SQL Azure Load Test result database created as a result of Windows Azure Sync - Cleaning up - Have the above work in the shape of a reusable solution for both VS2010 and VS2012 Test Rig The Ingredients Though with an active MSDN ultimate subscription you would already have access to everything and more, you will essentially need the below to try out the scenarios, 1. Windows Azure Subscription 2. Windows Azure Storage – Blob Storage 3. Windows Azure Compute – Worker Role 4. SQL Azure Database 5. SQL Data Sync 6. Windows Azure Connect – End points 7. SQL 2012 Express or SQL 2008 R2 Express 8. Visual Studio All Agents 2012 or Visual Studio All Agents 2010 9. A developer workstation set up with Visual Studio 2012 – Ultimate or Visual Studio 2010 – Ultimate 10. Visual Studio Load Test Unlimited Virtual User Pack. Walkthrough To set up the test rig in the cloud, the test controller, test agent and SQL express installers need to be available when the worker role set up starts, the easiest and most efficient way is to pre upload the required software into Windows Azure Blob storage. SQL express, test controller and test agent expose various switches which we can take advantage of including the quiet install switch. Once all the 3 have been installed the test controller needs to be registered with the test agents and the SQL database needs to be associated to the test controller. By enabling Windows Azure connect on the machines in the cloud and the developer workstation on premise we successfully create a virtual network amongst the machines enabling 2 way communication. All of the above can be done programmatically, let’s see step by step how… Scenario 1 Video Walkthrough–Leveraging Windows Azure for performance Testing Scenario 2 Work in progress, watch this space for more… Solution If you are still reading and are interested in the solution, drop me an email with your windows live id. I’ll add you to my TFS preview project which has a re-usable solution for both VS 2010 and VS 2012 test rigs as well as guidance and demo performance tests.   Conclusion Other posts and resources available here. Possibilities…. Endless!

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  • How can Swift be so much faster than Objective-C?

    - by Yellow
    Apple launched its new programming language Swift today. In the presentation, they made some performance comparisons between Objective-C and Python. The following is a picture of one of their slides, of a comparison of those three languages performing some complex object sort: There was an even more incredible graph about a performance comparison working on some encryption algorithm. Obviously this is a marketing talk, and they didn't go into detail on how this was implemented in each. I leaves me wondering though: how can a new programming language be so much faster? In this example, surely you just have a bad Objective-C compiler or you're doing something in a less efficient way? How else would you explain a 40% performance increase? I understand that garbage collection/automated reference control might produce some additional overhead, but this much?

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  • Oracle FLEXCUBE delivers 'Bank-in-a-Box' with Oracle Database Appliance

    - by margaret hamburger
    Another great example of how Oracle Database Appliance simplifies the deployment of high availability database solutions making it easy for Oracle Partners and ISVs to deliver value added solutions to customers on a simple, reliable and affordable database platform. Oracle FLEXCUBE Universal Banking recently announced that it runs on Oracle Database Appliance X3-2 to deliver mid-size banks a compelling banking-in-a-box solution. With this certification, banks can benefit from a low-IT-footprint, high-performance, full-scale banking technology that is engineered to support end-to-end business requirements. In a recent performance test of Oracle FLEXCUBE Universal Banking on Oracle Database Appliance X3-2, the system managed more than 2.6 million online transactions in 60 minutes. This equated to roughly 744 transactions per second with an average response time of 156 milliseconds for 98 percent of the transactions. Likewise, the solution completed end-of-month batch processing for 10 million customer accounts in 123 minutes during the performance test.  Learn more about Oracle Database Appliance Solution-in-a-Box.

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  • Down Tools Week Cometh: Kissing Goodbye to CVs/Resumes and Cover Letters

    - by Bart Read
    I haven't blogged about what I'm doing in my (not so new) temporary role as Red Gate's technical recruiter, mostly because it's been routine, business as usual stuff, and because I've been trying to understand the role by doing it. I think now though the time has come to get a little more radical, so I'm going to tell you why I want to largely eliminate CVs/resumes and cover letters from the application process for some of our technical roles, and why I think that might be a good thing for candidates (and for us). I have a terrible confession to make, or at least it's a terrible confession for a recruiter: I don't really like CV sifting, or reading cover letters, and, unless I've misread the mood around here, neither does anybody else. It's dull, it's time-consuming, and it's somewhat soul destroying because, when all is said and done, you're being paid to be incredibly judgemental about people based on relatively little information. I feel like I've dirtied myself by saying that - I mean, after all, it's a core part of my job - but it sucks, it really does. (And, of course, the truth is I'm still a software engineer at heart, and I'm always looking for ways to do things better.) On the flip side, I've never met anyone who likes writing their CV. It takes hours and hours of faffing around and massaging it into shape, and the whole process is beset by a gnawing anxiety, frustration, and insecurity. All you really want is a chance to demonstrate your skills - not just talk about them - and how do you do that in a CV or cover letter? Often the best candidates will include samples of their work (a portfolio, screenshots, links to websites, product downloads, etc.), but sometimes this isn't possible, or may not be appropriate, or you just don't think you're allowed because of what your school/university careers service has told you (more commonly an issue with grads, obviously). And what are we actually trying to find out about people with all of this? I think the common criteria are actually pretty basic: Smart Gets things done (thanks for these two Joel) Not an a55hole* (sorry, have to get around Simple Talk's swear filter - and thanks to Professor Robert I. Sutton for this one) *Of course, everyone has off days, and I don't honestly think we're too worried about somebody being a bit grumpy every now and again. We can do a bit better than this in the context of the roles I'm talking about: we can be more specific about what "gets things done" means, at least in part. For software engineers and interns, the non-exhaustive meaning of "gets things done" is: Excellent coder For test engineers, the non-exhaustive meaning of "gets things done" is: Good at finding problems in software Competent coder Team player, etc., to me, are covered by "not an a55hole". I don't expect people to be the life and soul of the party, or a wild extrovert - that's not what team player means, and it's not what "not an a55hole" means. Some of our best technical staff are quiet, introverted types, but they're still pleasant to work with. My problem is that I don't think the initial sift really helps us find out whether people are smart and get things done with any great efficacy. It's better than nothing, for sure, but it's not as good as it could be. It's also contentious, and potentially unfair/inequitable - if you want to get an idea of what I mean by this, check out the background information section at the bottom. Before I go any further, let's look at the Red Gate recruitment process for technical staff* as it stands now: (LOTS of) People apply for jobs. All these applications go through a brutal process of manual sifting, which eliminates between 75 and 90% of them, depending upon the role, and the time of year**. Depending upon the role, those who pass the sift will be sent an assessment or telescreened. For the purposes of this blog post I'm only interested in those that are sent some sort of programming assessment, or bug hunt. This means software engineers, test engineers, and software interns, which are the roles for which I receive the most applications. The telescreen tends to be reserved for project or product managers. Those that pass the assessment are invited in for first interview. This interview is mostly about assessing their technical skills***, although we're obviously on the look out for cultural fit red flags as well. If the first interview goes well we'll invite candidates back for a second interview. This is where team/cultural fit is really scoped out. We also use this interview to dive more deeply into certain areas of their skillset, and explore any concerns that may have come out of the first interview (these obviously won't have been serious or obvious enough to cause a rejection at that point, but are things we do need to look into before we'd consider making an offer). We might subsequently invite them in for lunch before we make them an offer. This tends to happen when we're recruiting somebody for a specific team and we'd like them to meet all the people they'll be working with directly. It's not an interview per se, but can prove pivotal if they don't gel with the team. Anyone who's made it this far will receive an offer from us. *We have a slightly quirky definition of "technical staff" as it relates to the technical recruiter role here. It includes software engineers, test engineers, software interns, user experience specialists, technical authors, project managers, product managers, and development managers, but does not include product support or information systems roles. **For example, the quality of graduate applicants overall noticeably drops as the academic year wears on, which is not to say that by now there aren't still stars in there, just that they're fewer and further between. ***Some organisations prefer to assess for team fit first, but I think assessing technical skills is a more effective initial filter - if they're the nicest person in the world, but can't cut a line of code they're not going to work out. Now, as I suggested in the title, Red Gate's Down Tools Week is upon us once again - next week in fact - and I had proposed as a project that we refactor and automate the first stage of marking our programming assessments. Marking assessments, and in fact organising the marking of them, is a somewhat time-consuming process, and we receive many assessment solutions that just don't make the cut, for whatever reason. Whilst I don't think it's possible to fully automate marking, I do think it ought to be possible to run a suite of automated tests over each candidate's solution to see whether or not it behaves correctly and, if it does, move on to a manual stage where we examine the code for structure, decomposition, style, readability, maintainability, etc. Obviously it's possible to use tools to generate potentially helpful metrics for some of these indices as well. This would obviously reduce the marking workload, and would provide candidates with quicker feedback about whether they've been successful - though I do wonder if waiting a tactful interval before sending a (nicely written) rejection might be wise. I duly scrawled out a picture of my ideal process, which looked like this: The problem is, as soon as I'd roughed it out, I realised that fundamentally it wasn't an ideal process at all, which explained the gnawing feeling of cognitive dissonance I'd been wrestling with all week, whilst I'd been trying to find time to do this. Here's what I mean. Automated assessment marking, and the associated infrastructure around that, makes it much easier for us to deal with large numbers of assessments. This means we can be much more permissive about who we send assessments out to or, in other words, we can give more candidates the opportunity to really demonstrate their skills to us. And this leads to a question: why not give everyone the opportunity to demonstrate their skills, to show that they're smart and can get things done? (Two or three of us even discussed this in the down tools week hustings earlier this week.) And isn't this a lot simpler than the alternative we'd been considering? (FYI, this was automated CV/cover letter sifting by some form of textual analysis to ideally eliminate the worst 50% or so of applications based on an analysis of the 20,000 or so historical applications we've received since 2007 - definitely not the basic keyword analysis beloved of recruitment agencies, since this would eliminate hardly anyone who was awful, but definitely would eliminate stellar Oxbridge candidates - #fail - or some nightmarishly complex Google-like system where we profile all our currently employees, only to realise that we're never going to get representative results because we don't have a statistically significant sample size in any given role - also #fail.) No, I think the new way is better. We let people self-select. We make them the masters (or mistresses) of their own destiny. We give applicants the power - we put their fate in their hands - by giving them the chance to demonstrate their skills, which is what they really want anyway, instead of requiring that they spend hours and hours creating a CV and cover letter that I'm going to evaluate for suitability, and make a value judgement about, in approximately 1 minute (give or take). It doesn't matter what university you attended, it doesn't matter if you had a bad year when you took your A-levels - here's your chance to shine, so take it and run with it. (As a side benefit, we cut the number of applications we have to sift by something like two thirds.) WIN! OK, yeah, sounds good, but will it actually work? That's an excellent question. My gut feeling is yes, and I'll justify why below (and hopefully have gone some way towards doing that above as well), but what I'm proposing here is really that we run an experiment for a period of time - probably a couple of months or so - and measure the outcomes we see: How many people apply? (Wouldn't be surprised or alarmed to see this cut by a factor of ten.) How many of them submit a good assessment? (More/less than at present?) How much overhead is there for us in dealing with these assessments compared to now? What are the success and failure rates at each interview stage compared to now? How many people are we hiring at the end of it compared to now? I think it'll work because I hypothesize that, amongst other things: It self-selects for people who really want to work at Red Gate which, at the moment, is something I have to try and assess based on their CV and cover letter - but if you're not that bothered about working here, why would you complete the assessment? Candidates who would submit a shoddy application probably won't feel motivated to do the assessment. Candidates who would demonstrate good attention to detail in their CV/cover letter will demonstrate good attention to detail in the assessment. In general, only the better candidates will complete and submit the assessment. Marking assessments is much less work so we'll be able to deal with any increase that we see (hopefully we will see). There are obviously other questions as well: Is plagiarism going to be a problem? Is there any way we can detect/discourage potential plagiarism? How do we assess candidates' education and experience? What about their ability to communicate in writing? Do we still want them to submit a CV afterwards if they pass assessment? Do we want to offer them the opportunity to tell us a bit about why they'd like the job when they submit their assessment? How does this affect our relationship with recruitment agencies we might use to hire for these roles? So, what's the objective for next week's Down Tools Week? Pretty simple really - we want to implement this process for the Graduate Software Engineer and Software Engineer positions that you can find on our website. I will be joined by a crack team of our best developers (Kevin Boyle, and new Red-Gater, Sam Blackburn), and recruiting hostess with the mostest Laura McQuillen, and hopefully a couple of others as well - if I can successfully twist more arms before Monday.* Hopefully by next Friday our experiment will be up and running, and we may have changed the way Red Gate recruits software engineers for good! Stay tuned and we'll let you know how it goes! *I'm going to play dirty by offering them beer and chocolate during meetings. Some background information: how agonising over the initial CV/cover letter sift helped lead us to bin it off entirely The other day I was agonising about the new university/good degree grade versus poor A-level results issue, and decided to canvas for other opinions to see if there was something I could do that was fairer than my current approach, which is almost always to reject. This generated quite an involved discussion on our Yammer site: I'm sure you can glean a pretty good impression of my own educational prejudices from that discussion as well, although I'm very open to changing my opinion - hopefully you've already figured that out from reading the rest of this post. Hopefully you can also trace a logical path from agonising about sifting to, "Uh, hang on, why on earth are we doing this anyway?!?" Technorati Tags: recruitment,hr,developers,testers,red gate,cv,resume,cover letter,assessment,sea change

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  • Verizon Business Delivers New Sales and Support Tools

    - by michael.seback
    Verizon Business Delivers New Sales and Support Tools and Improves System Performance by 35% Verizon Business, a unit of Verizon Communications, is a global leader in communications and IT solutions. With one of the world's most connected internet protocol networks, Verizon Business delivers communications, IT, security, and network solutions to many of the largest businesses and governments. ..."Our work with Accenture to upgrade our Oracle systems has improved system performance significantly. In a recent survey, 84% of users said performance was 'faster' or 'much faster.' Plus, our sales and support staff have new tools to improve productivity and customer service, which ultimately drives customer retention and revenue." - Rob Moore, Director Verizon Business ...Read more.

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  • SAP Applications Run Better on Oracle Exadata

    - by jgelhaus
    To yield the results necessary to stay competitive, your business-critical applications must be able to access the most reliable and up-to-date information. That’s why a growing number of SAP application customers are turning to Oracle Exadata Database Machine for better performance, better productivity—and big savings. Watch our latest Webcast to find out why Oracle Exadata is the ideal platform for running your SAP applications. You’ll learn how you can: Increase the performance of SAP applications Enhance reliability with a centralized, scalable platform Ensure quick, safe, and easy deployments Watch it now. Highlights include customer case studies and practical deployment strategies. Watch our latest on-demand Webcast to find out why Oracle Exadata is the ideal platform for running your SAP applications. Learn how to increase the performance of SAP applications, enhance reliability with a centralized, scalable platform and ensure quick, safe and easy deployments.

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  • Adding Column to a SQL Server Table

    - by Dinesh Asanka
    Adding a column to a table is  common task for  DBAs. You can add a column to a table which is a nullable column or which has default values. But are these two operations are similar internally and which method is optimal? Let us start this with an example. I created a database and a table using following script: USE master Go --Drop Database if exists IF EXISTS (SELECT 1 FROM SYS.databases WHERE name = 'AddColumn') DROP DATABASE AddColumn --Create the database CREATE DATABASE AddColumn GO USE AddColumn GO --Drop the table if exists IF EXISTS ( SELECT 1 FROM sys.tables WHERE Name = 'ExistingTable') DROP TABLE ExistingTable GO --Create the table CREATE TABLE ExistingTable (ID BIGINT IDENTITY(1,1) PRIMARY KEY CLUSTERED, DateTime1 DATETIME DEFAULT GETDATE(), DateTime2 DATETIME DEFAULT GETDATE(), DateTime3 DATETIME DEFAULT GETDATE(), DateTime4 DATETIME DEFAULT GETDATE(), Gendar CHAR(1) DEFAULT 'M', STATUS1 CHAR(1) DEFAULT 'Y' ) GO -- Insert 100,000 records with defaults records INSERT INTO ExistingTable DEFAULT VALUES GO 100000 Before adding a Column Before adding a column let us look at some of the details of the database. DBCC IND (AddColumn,ExistingTable,1) By running the above query, you will see 637 pages for the created table. Adding a Column You can add a column to the table with following statement. ALTER TABLE ExistingTable Add NewColumn INT NULL Above will add a column with a null value for the existing records. Alternatively you could add a column with default values. ALTER TABLE ExistingTable Add NewColumn INT NOT NULL DEFAULT 1 The above statement will add a column with a 1 value to the existing records. In the below table I measured the performance difference between above two statements. Parameter Nullable Column Default Value CPU 31 702 Duration 129 ms 6653 ms Reads 38 116,397 Writes 6 1329 Row Count 0 100000 If you look at the RowCount parameter, you can clearly see the difference. Though column is added in the first case, none of the rows are affected while in the second case all the rows are updated. That is the reason, why it has taken more duration and CPU to add column with Default value. We can verify this by several methods. Number of Pages The number of data pages can be obtained by using DBCC IND command. Though, this an undocumented dbcc command, many experts are ok to use this command in production. However, since there is no official word from Microsoft, use this “at your own risk”. DBCC IND (AddColumn,ExistingTable,1) Before Adding the Columns 637 Adding a Column with NULL 637 Adding a column with DEFAULT value 1270 This clearly shows that pages are physically modified. Please note, a high value indicated in the Adding a column with DEFAULT value  column is also a result of page splits. Continues…

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  • Speaking at AMD Fusion conference

    - by Daniel Moth
    Next Wednesday at 2pm I will be presenting a session at the AMD Fusion developer summit in Bellevue, Washington State. For more on this conference please visit the official website. If you filter the catalog by 'Speaker Last Name' to "Moth", you'll find my talk. For your convenience, below is the title and abstract Blazing-fast code using GPUs and more, with Microsoft Visual C++ To get full performance out of mainstream hardware, high-performance code needs to harness, not only multi-core CPUs, but also GPUs (whether discrete cards or integrated in the processor) and other compute accelerators to achieve orders-of-magnitude speed-up for data parallel algorithms. How can you as a C++ developer fully utilize all that heterogeneous hardware from your Visual Studio environment? How can your code benefit from this tremendous performance boost without sacrificing your developer productivity or the portability of your solution? The answers will be presented in this session that introduces a new technology from Microsoft. Hope to see many of you there! Comments about this post welcome at the original blog.

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  • Architecture for subscription based application

    - by John
    This is about the architecture of my application I think. I have a Rails application where companies can administrate all things related to clients. Companies can buy a subscription and their users can access the application online. Hopefully I will get multiple companies subscribing to my appplication/service. Thing is, what should I do with my code and database? Seperate app code base and database per company One app code base but seperate database per company One app code base and one database The decision I am to make involves security (e.g. user from company X should not see any data from company Y) performance (let's suppose it becomes successful, it should have a good performance) and scalability (again, if successful, it should have a good performance but also easy for me to handle all the companies, code changes, etc) For sake of maintainability, I tend to opt for the one code base. For the database I really don't know at this moment. So what do you think is the best option?

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  • Swichable Graphics

    - by user67291
    Im having a bit of a problem with my 2 graphic card in my laptop. laptop: Acer Aspire 5553g Graphic Cards: Performance: ATI Mobility Radeon HD 5650 Power saving: ATI Radeon HD 4200. On this laptop i have used ubuntu 11.04, then upgraded to 11.11, and now upgraded to 12.04 the other day. The problem is that sins i upgraded to 12.04 im unable to switch to my performance graphic card using the Catalyst Control Center. Under 11.04 and 11.11 it was no problem. I open the Catalyst Control Center and select the performance option then apply, it tels me that it will be applied after reboot, I reboot and nothing has changed. Im able to "force" it by changing in BIOS, so i know there is nothing wrong with the card. Thanks /Daan

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  • Cloud Computing Forces Better Design Practices

    - by Herve Roggero
    Is cloud computing simply different than on premise development, or is cloud computing actually forcing you to create better applications than you normally would? In other words, is cloud computing merely imposing different design principles, or forcing better design principles?  A little while back I got into a discussion with a developer in which I was arguing that cloud computing, and specifically Windows Azure in his case, was forcing developers to adopt better design principles. His opinion was that cloud computing was not yielding better systems; just different systems. In this blog, I will argue that cloud computing does force developers to use better design practices, and hence better applications. So the first thing to define, of course, is the word “better”, in the context of application development. Looking at a few definitions online, better means “superior quality”. As it relates to this discussion then, I stipulate that cloud computing can yield higher quality applications in terms of scalability, everything else being equal. Before going further I need to also outline the difference between performance and scalability. Performance and scalability are two related concepts, but they don’t mean the same thing. Scalability is the measure of system performance given various loads. So when developers design for performance, they usually give higher priority to a given load and tend to optimize for the given load. When developers design for scalability, the actual performance at a given load is not as important; the ability to ensure reasonable performance regardless of the load becomes the objective. This can lead to very different design choices. For example, if your objective is to obtains the fastest response time possible for a service you are building, you may choose the implement a TCP connection that never closes until the client chooses to close the connection (in other words, a tightly coupled service from a connectivity standpoint), and on which a connection session is established for faster processing on the next request (like SQL Server or other database systems for example). If you objective is to scale, you may implement a service that answers to requests without keeping session state, so that server resources are released as quickly as possible, like a REST service for example. This alternate design would likely have a slower response time than the TCP service for any given load, but would continue to function at very large loads because of its inherently loosely coupled design. An example of a REST service is the NO-SQL implementation in the Microsoft cloud called Azure Tables. Now, back to cloud computing… Cloud computing is designed to help you scale your applications, specifically when you use Platform as a Service (PaaS) offerings. However it’s not automatic. You can design a tightly-coupled TCP service as discussed above, and as you can imagine, it probably won’t scale even if you place the service in the cloud because it isn’t using a connection pattern that will allow it to scale [note: I am not implying that all TCP systems do not scale; I am just illustrating the scalability concepts with an imaginary TCP service that isn’t designed to scale for the purpose of this discussion]. The other service, using REST, will have a better chance to scale because, by design, it minimizes resource consumption for individual requests and doesn’t tie a client connection to a specific endpoint (which means you can easily deploy this service to hundreds of machines without much trouble, as long as your pockets are deep enough). The TCP and REST services discussed above are both valid designs; the TCP service is faster and the REST service scales better. So is it fair to say that one service is fundamentally better than the other? No; not unless you need to scale. And if you don’t need to scale, then you don’t need the cloud in the first place. However, it is interesting to note that if you do need to scale, then a loosely coupled system becomes a better design because it can almost always scale better than a tightly-coupled system. And because most applications grow overtime, with an increasing user base, new functional requirements, increased data and so forth, most applications eventually do need to scale. So in my humble opinion, I conclude that a loosely coupled system is not just different than a tightly coupled system; it is a better design, because it will stand the test of time. And in my book, if a system stands the test of time better than another, it is of superior quality. Because cloud computing demands loosely coupled systems so that its underlying service architecture can be leveraged, developers ultimately have no choice but to design loosely coupled systems for the cloud. And because loosely coupled systems are better… … the cloud forces better design practices. My 2 cents.

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  • Google I/O 2012 - Breaking the JavaScript Speed Limit with V8

    Google I/O 2012 - Breaking the JavaScript Speed Limit with V8 Daniel Clifford Are you are interested in making JavaScript run blazingly fast in Chrome? This talk takes a look under the hood in V8 to help you identify how to optimize your JavaScript code. We'll show you how to leverage V8's sampling profiler to eliminate performance bottlenecks and optimize JavaScript programs, and we'll expose how V8 uses hidden classes and runtime type feedback to generate efficient JIT code. Attendees will leave the session with solid optimization guidelines for their JavaScript app and a good understanding on how to best use performance tools and JavaScript idioms to maximize the performance of their application with V8. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 3049 113 ratings Time: 47:35 More in Science & Technology

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  • SPARC T5-4 Engineering Simulation Solution

    - by Mike Mulkey-Oracle
    A recent Oracle internal performance evaluation for computer-based product design demonstrated that Oracle's SPARC T5-4 server running MSC's SimManager simulation software with Oracle Database 12c consolidates the work of multiple x86 servers while delivering better overall performance.   Engineering simulation solutions have taken the center stage in helping companies design and develop innovative products while reducing physical prototyping costs, and exploring a larger design space, resulting in more design possibilities. For this solution, a single SPARC T5-4 server running Oracle Solaris 11 was deployed to consolidate the MSC SimManager server, the Oracle Database 12c server, and the web application server onto a single platform. An automotive design workload was deployed to demonstrate how the SPARC T5-4 server can be used to consolidate the work of multiple x86 servers and deliver better overall performance while reducing complexity and achieving optimal product designs.  A joint Oracle/MSC Software solution brief describes this in more detail:  A Simplified Solution for Product Lifecycle Management —MSC SimManager on a SPARC T5-4 Server

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