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  • 11/28 Thought Leaders Webinar: Marketing Strategies for Great Customer Experiences

    - by Charles Knapp
    With the growing use of mobile and social, it's tempting to bolt on these new channels to existing processes. However, that piecemeal approach may not lead to satisfying customer experiences or solid returns on investments. Furthermore, the volume of information businesses have access to is growing exponentially. Is this leading to better business insight and customer experiences? Join the Internet Marketing Association, The University of California at Irvine, and Oracle as we discuss marketing strategies that will help your customers have better experiences with your brand. You'll learn effective strategies for harnessing the power of "big data" to know more and understand your customers better, empowering customers and employees to make every interaction easy and rewarding, and adapting the customer experience to connect and engage effectively with each customer. Our speakers are Melissa Boxer, Vice President of Product Strategy, Oracle Cloud and CX Applications, who is a conference keynote speaker on integrated social marketing and loyalty analytics, and Dean Abbott, CEO of Abbott Analytics, who is a thought leader in commercial predictive analytics. This learning opportunity takes place on Wednesday, November 28, 11 am to 12 pm Pacific. Register today to learn from these thought leaders.

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  • Change the Way Google Search Results Display in Firefox

    - by Asian Angel
    Are you tired of the default look for search results at Google? If you want a different and customized pleasing look for them, then join us as we look at the GoogleMonkeyR User Script. Note: User Style Scripts & User Scripts can be added to most browsers but we are using Firefox & the Greasemonkey extension for our example here. Before Here is the standard look for search results at Google…not bad but it really does not stand out that well either. Installing the User Script You may be asking yourself what makes this particular user script different from others. Take a look at the list of goodies that you get access to and you will understand: Multiple columns of results Removes “Sponsored Links” Add numbers to the results Auto-load more results Removes web search dialogues Open links in a new tab Favicons GooglePreview Self updating Can be configured from a simple user dialogue To get started click on the Webpage Install Button. Once you click on the Webpage Install Button you will see the following window asking for confirmation to add the user script to Firefox. Click Install to complete the process. GoogleMonkeyR in Action Refreshing the same search page shown above shows a noticeable difference already. The light blue background makes the search results stand out a bit better. This is an improvement from before but you will definitely want to have a look to see just how far you can go… Right click on the Greasemonkey Status Bar Icon, go to User Script Commands, and select GoogleMonkeyR Preferences. Once you have clicked on GoogleMonkeyR Preferences the search page will be shaded out and you will have access to the user script’s preferences. This is where you can really make your search results unique looking! Here are the changes that we started out with… After refreshing our search results things looked even better. A look at the entire page of results with our browser maximized and set for two columns. If you have the Auto load more results Option enabled new results will be added very quickly as you scroll down. Our set of search results after adding Favicons & GooglePreview Images. Conclusion If you have been wanting a more dramatic and pleasing look for the search results at Google then you can not go wrong with the GoogleMonkeyR User Script. Change as little or as much as you want to get that perfect look in your browser. Link Install the GoogleMonkeyR User Script Download the Greasemonkey extension for Firefox (Mozilla Add-ons) Similar Articles Productive Geek Tips Make Firefox Quick Search Use Google’s Beta Search KeysMake Firefox Built-In Search Box Use Google’s Experimental Search KeysMake Firefox Show Google Results for Default Address Bar SearchesCombine Wolfram Alpha & Google Search Results in FirefoxHow To Run 4 Different Google Searches at Once In the Same Tab TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips VMware Workstation 7 Acronis Online Backup DVDFab 6 Revo Uninstaller Pro Explorer++ is a Worthy Windows Explorer Alternative Error Goblin Explains Windows Error Codes Twelve must-have Google Chrome plugins Cool Looking Skins for Windows Media Player 12 Move the Mouse Pointer With Your Face Movement Using eViacam Boot Windows Faster With Boot Performance Diagnostics

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  • How would you gather client's data on Google App Engine without using Datastore/Backend Instances too much?

    - by ruslan
    I'm relatively new to StackExchange and not sure if it's appropriate place to ask design question. Site gives me a hint "The question you're asking appears subjective and is likely to be closed". Please let me know. Anyway.. One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting? Thank you very much in advance for your thoughts.

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  • How can I gather client's data on Google App Engine without using Datastore/Backend Instances too much?

    - by ruslan
    One of the projects I'm working on is online survey engine. It's my first big commercial project on Google App Engine. I need your advice on how to collect stats and efficiently record them in DataStore without bankrupting me. Initial requirements are: After user finishes survey client sends list of pairs [ID (int) + PercentHit (double)]. This list shows how close answers of this user match predefined answers of reference answerers (which identified by IDs). I call them "target IDs". Creator of the survey wants to see aggregated % for given IDs for last hour, particular timeframe or from the beginning of the survey. Some surveys may have thousands of target/reference answerers. So I created entity public class HitsStatsDO implements Serializable { @Id transient private Long id; transient private Long version = (long) 0; transient private Long startDate; @Parent transient private Key parent; // fake parent which contains target id @Transient int targetId; private double avgPercent; private long hitCount; } But writing HitsStatsDO for each target from each user would give a lot of data. For instance I had a survey with 3000 targets which was answered by ~4 million people within one week with 300K people taking survey in first day. Even if we assume they were answering it evenly for 24 hours it would give us ~1040 writes/second. Obviously it hits concurrent writes limit of Datastore. I decided I'll collect data for one hour and save that, that's why there are avgPercent and hitCount in HitsStatsDO. GAE instances are stateless so I had to use dynamic backend instance. There I have something like this: // Contains stats for one hour private class Shard { ReadWriteLock lock = new ReentrantReadWriteLock(); Map<Integer, HitsStatsDO> map = new HashMap<Integer, HitsStatsDO>(); // Key is target ID public void saveToDatastore(); public void updateStats(Long startDate, Map<Integer, Double> hits); } and map with shard for current hour and previous hour (which doesn't stay here for long) private HashMap<Long, Shard> shards = new HashMap<Long, Shard>(); // Key is HitsStatsDO.startDate So once per hour I dump Shard for previous hour to Datastore. Plus I have class LifetimeStats which keeps Map<Integer, HitsStatsDO> in memcached where map-key is target ID. Also in my backend shutdown hook method I dump stats for unfinished hour to Datastore. There is only one major issue here - I have only ONE backend instance :) It raises following questions on which I'd like to hear your opinion: Can I do this without using backend instance ? What if one instance is not enough ? How can I split data between multiple dynamic backend instances? It hard because I don't know how many I have because Google creates new one as load increases. I know I can launch exact number of resident backend instances. But how many ? 2, 5, 10 ? What if I have no load at all for a week. Constantly running 10 backend instances is too expensive. What do I do with data from clients while backend instance is dead/restarting?

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  • Entity Framework, full-text search and temporary tables

    - by markus
    I have a LINQ-2-Entity query builder, nesting different kinds of Where clauses depending on a fairly complex search form. Works great so far. Now I need to use a SQL Server fulltext search index in some of my queries. Is there any chance to add the search term directly to the LINQ query, and have the score available as a selectable property? If not, I could write a stored procedure to load a list of all row IDs matching the full-text search criteria, and then use a LINQ-2-Entity query to load the detail data and evaluate other optional filter criteria in a loop per row. That would be of course a very bad idea performance-wise. Another option would be to use a stored procedure to insert all row IDs matching the full-text search into a temporary table, and then let the LINQ query join the temporary table. Question is: how to join a temporary table in a LINQ query, as it cannot be part of the entity model?

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  • Hibernate Search Paging + FullTextSearch + Criteria

    - by Roy Chan
    I am trying to do a search with some criteria FullTextQuery fullTextQuery = fullTextSession.createFullTextQuery(finalQuery, KnowledgeBaseSolution.class).setCriteriaQuery(criteria); and then page it //Gives me around 700 results result.setResultCount(fullTextQuery.getResultSize()); //Some pages are empty fullTextQuery.setFirstResult(( (pageNumber - 1) * pageSize )); fullTextQuery.setMaxResults( pageSize ); result.setResults(fullTextQuery.list()); I suspect Lucene return full result of the full text search without taking the criteria into account and then hibernate search applies the criteria after, therefore some page are empty (after filtering by criteria) What is proper way to do fullTextSearch with some criteria, is it possible to apply the criteria before the lucene search? Or do I have to use pure Lucene (if so what's the point of Hibernate Search?) Thanks in advance

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  • MS Sql Full-text search vs. LIKE expression

    - by Marks
    Hi. I'm currently looking for a way to search a big database (500MB - 10GB or more on 10 tables) with a lot of different fields(nvarchars and bigints). Many of the fields, that should be searched are not in the same table. An example: A search for '5124 Peter' should return all items, that ... have an ID with 5124 in it, have 'Peter' in the title or description have item type id with 5124 in it created by a user named 'peter' or a user whose id has 5124 in it created by a user with '5124' or 'peter' in his street address. How should i do the search? I read that the full-text search of MS-Sql is a lot more performant than a query with the LIKE keyword and i think the syntax is more clear, but i think it cant search on bigint(id) values and i read it has performance problems with indexing and therefore slows down inserts to the DB. In my project there will be more inserting than reading, so this could be a matter. Thanks in advance, Marks

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  • Spotlight search with PHP

    - by htf
    Hi. I want to add a spotlight search functionality - search results being displayed with rich contents like thumbnail etc in a drop down menu changing on each keyup event - just like the apple.com search - to a site, having data in MySQL InnoDB tables. The data is spread into separate tables for categories, help pages, blog pages and so on. The search script must take into account just a subset of columns. Since it seems to be a popular demand, I guess there are some PHP search engine projects (preferably open-source and with memcached support), which could be integrated into the existing system on the basis of regular exports of relevant data from the working db/tables. Are there any solutions out there? Which one would you recommend? Or maybe it would be better to implement it the other way around? Thanks

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  • Usage examples of binary search

    - by python dude
    I just realized that in my 4+ years of Java programming (mostly desktop apps) I never used the binary search methods in the Arrays class for anything practical. Not even once. Some reasons I can think of: 100% of the time you can get away with linear search, maps or something else that isn't binary search. The incoming data is almost never sorted, and making it sorted requires an extra sorting step. So I wonder if it's just me, or do a lot of people never use binary search? And what are some good, practical usage examples of binary search?

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  • Defining Social Media Terms

    - by David Dorf
    As I talk about social in the context of retail, I sometimes get tripped up on different terms. I know what I mean, but the audience may have something else in mind. So I decided to see if I could find some well accepted definitions for common terms. While there are definitions on the Internet, I'm not sure they are well accepted. After reviewing several, here's what I came up with: Social Network: a structure of individuals and groups connected together by commonality. That seems pretty straightforward. A group of friends, co-workers, music fans, etc. The key here is that they have something in common that connects them. Social Media: Internet channels that support the collaborative publishing of information by and for social networks. The key here is to differentiate between traditional one-way media, and conversational social media. When its social its two-way, allowing both the publishing and consuming of information. Examples are blogs, wikis, Twitter, Facebook, etc. Social Marketing: the use of social media for marketing, public relations, and customer service. Wikipedia actually includes "selling" here but I think that's separate from marketing, as you'll see further down below. Most people look at social media as entertainment, but the marketing angle adds business value. This is where retailers discover and engage customers to build a relationship. Social Merchandising: the integration of social media and product discovery. Whereas marketing is focused more on brand image, customer engagement, and promotions, merchandising is more directly trying to convert browsers into purchases. This includes deciding what customers want, often by asking the social network, and deciding how to position products to the social network. Social Selling: the incorporation of e-commerce into social media. While on a social media site, social selling enables the purchasing of goods/services in the user's context, without leaving the social media channel. If a user clicks on an advertisement and is taken to an e-commerce site, then that's really just web advertising and not social selling. Well, do these terms and definitions make sense? Let me know what you think.

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  • How to tell if SPARC T4 crypto is being used?

    - by danx
    A question that often comes up when running applications on SPARC T4 systems is "How can I tell if hardware crypto accleration is being used?" To review, the SPARC T4 processor includes a crypto unit that supports several crypto instructions. For hardware crypto these include 11 AES instructions, 4 xmul* instructions (for AES GCM carryless multiply), mont for Montgomery multiply (optimizes RSA and DSA), and 5 des_* instructions (for DES3). For hardware hash algorithm optimization, the T4 has the md5, sha1, sha256, and sha512 instructions (the last two are used for SHA-224 an SHA-384). First off, it's easy to tell if the processor T4 crypto instructions—use the isainfo -v command and look for "sparcv9" and "aes" (and other hash and crypto algorithms) in the output: $ isainfo -v 64-bit sparcv9 applications crc32c cbcond pause mont mpmul sha512 sha256 sha1 md5 camellia kasumi des aes ima hpc vis3 fmaf asi_blk_init vis2 vis popc These instructions are not-privileged, so are available for direct use in user-level applications and libraries (such as OpenSSL). Here is the "openssl speed -evp" command shown with the built-in t4 engine and with the pkcs11 engine. Both run the T4 AES instructions, but the t4 engine is faster than the pkcs11 engine because it has less overhead (especially for smaller packet sizes): t-4 $ /usr/bin/openssl version OpenSSL 1.0.0j 10 May 2012 t-4 $ /usr/bin/openssl engine (t4) SPARC T4 engine support (dynamic) Dynamic engine loading support (pkcs11) PKCS #11 engine support t-4 $ /usr/bin/openssl speed -evp aes-128-cbc # t4 engine used by default . . . The 'numbers' are in 1000s of bytes per second processed. type 16 bytes 64 bytes 256 bytes 1024 bytes 8192 bytes aes-128-cbc 487777.10k 816822.21k 986012.59k 1017029.97k 1053543.08k t-4 $ /usr/bin/openssl speed -engine pkcs11 -evp aes-128-cbc engine "pkcs11" set. . . . The 'numbers' are in 1000s of bytes per second processed. type 16 bytes 64 bytes 256 bytes 1024 bytes 8192 bytes aes-128-cbc 31703.58k 116636.39k 350672.81k 696170.50k 993599.49k Note: The "-evp" flag indicates use the OpenSSL "EnVeloPe" API, which gives more accurate results. That's because it tells OpenSSL to use the same API that external programs use when calling OpenSSL libcrypto functions, evp(3openssl). DTrace Shows if T4 Crypto Functions Are Used OK, good enough, the isainfo(1) command shows the instructions are present, but how does one know if they are being used? Chi-Chang Lin, who works on Oracle Solaris performance, wrote a Dtrace script to show if T4 instructions are being executed. To show the T4 instructions are being used, run the following Dtrace script. Look for functions named "t4" and "yf" in the output. The OpenSSL T4 engine uses functions named "t4" and the PKCS#11 engine uses functions named "yf". To demonstrate, I'll first run "openssl speed" with the built-in t4 engine then with the pkcs11 engine. The performance numbers are not valid due to dtrace probes slowing things down. t-4 # dtrace -Z -n ' pid$target::*yf*:entry,pid$target::*t4_*:entry{ @[probemod, probefunc] = count();}' \ -c "/usr/bin/openssl speed -evp aes-128-cbc" dtrace: description 'pid$target::*yf*:entry' matched 101 probes . . . dtrace: pid 2029 has exited libcrypto.so.1.0.0 ENGINE_load_t4 1 libcrypto.so.1.0.0 t4_DH 1 libcrypto.so.1.0.0 t4_DSA 1 libcrypto.so.1.0.0 t4_RSA 1 libcrypto.so.1.0.0 t4_destroy 1 libcrypto.so.1.0.0 t4_free_aes_ctr_NIDs 1 libcrypto.so.1.0.0 t4_init 1 libcrypto.so.1.0.0 t4_add_NID 3 libcrypto.so.1.0.0 t4_aes_expand128 5 libcrypto.so.1.0.0 t4_cipher_init_aes 5 libcrypto.so.1.0.0 t4_get_all_ciphers 6 libcrypto.so.1.0.0 t4_get_all_digests 59 libcrypto.so.1.0.0 t4_digest_final_sha1 65 libcrypto.so.1.0.0 t4_digest_init_sha1 65 libcrypto.so.1.0.0 t4_sha1_multiblock 126 libcrypto.so.1.0.0 t4_digest_update_sha1 261 libcrypto.so.1.0.0 t4_aes128_cbc_encrypt 1432979 libcrypto.so.1.0.0 t4_aes128_load_keys_for_encrypt 1432979 libcrypto.so.1.0.0 t4_cipher_do_aes_128_cbc 1432979 t-4 # dtrace -Z -n 'pid$target::*yf*:entry{ @[probemod, probefunc] = count();}   pid$target::*yf*:entry,pid$target::*t4_*:entry{ @[probemod, probefunc] = count();}' \ -c "/usr/bin/openssl speed -engine pkcs11 -evp aes-128-cbc" dtrace: description 'pid$target::*yf*:entry' matched 101 probes engine "pkcs11" set. . . . dtrace: pid 2033 has exited libcrypto.so.1.0.0 ENGINE_load_t4 1 libcrypto.so.1.0.0 t4_DH 1 libcrypto.so.1.0.0 t4_DSA 1 libcrypto.so.1.0.0 t4_RSA 1 libcrypto.so.1.0.0 t4_destroy 1 libcrypto.so.1.0.0 t4_free_aes_ctr_NIDs 1 libcrypto.so.1.0.0 t4_get_all_ciphers 1 libcrypto.so.1.0.0 t4_get_all_digests 1 libsoftcrypto.so.1 rijndael_key_setup_enc_yf 1 libsoftcrypto.so.1 yf_aes_expand128 1 libcrypto.so.1.0.0 t4_add_NID 3 libsoftcrypto.so.1 yf_aes128_cbc_encrypt 1542330 libsoftcrypto.so.1 yf_aes128_load_keys_for_encrypt 1542330 So, as shown above the OpenSSL built-in t4 engine executes t4_* functions (which are hand-coded assembly executing the T4 AES instructions) and the OpenSSL pkcs11 engine executes *yf* functions. Programmatic Use of OpenSSL T4 engine The OpenSSL t4 engine is used automatically with the /usr/bin/openssl command line. Chi-Chang Lin also points out that if you're calling the OpenSSL API (libcrypto.so) from a program, you must call ENGINE_load_built_engines(), otherwise the built-in t4 engine will not be loaded. You do not call ENGINE_set_default(). That's because "openssl speed -evp" test calls ENGINE_load_built_engines() even though the "-engine" option wasn't specified. OpenSSL T4 engine Availability The OpenSSL t4 engine is available with Solaris 11 and 11.1. For Solaris 10 08/11 (U10), you need to use the OpenSSL pkcs311 engine. The OpenSSL t4 engine is distributed only with the version of OpenSSL distributed with Solaris (and not third-party or self-compiled versions of OpenSSL). The OpenSSL engine implements the AES cipher for Solaris 11, released 11/2011. For Solaris 11.1, released 11/2012, the OpenSSL engine adds optimization for the MD5, SHA-1, and SHA-2 hash algorithms, and DES-3. Although the T4 processor has Camillia and Kasumi block cipher instructions, these are not implemented in the OpenSSL T4 engine. The following charts may help view availability of optimizations. The first chart shows what's available with Solaris CLIs and APIs, the second chart shows what's available in Solaris OpenSSL. Native Solaris Optimization for SPARC T4 This table is shows Solaris native CLI and API support. As such, they are all available with the OpenSSL pkcs11 engine. CLIs: "openssl -engine pkcs11", encrypt(1), decrypt(1), mac(1), digest(1), MD5sum(1), SHA1sum(1), SHA224sum(1), SHA256sum(1), SHA384sum(1), SHA512sum(1) APIs: PKCS#11 library libpkcs11(3LIB) (incluDES Openssl pkcs11 engine), libMD(3LIB), and Solaris kernel modules AlgorithmSolaris 1008/11 (U10)Solaris 11Solaris 11.1 AES-ECB, AES-CBC, AES-CTR, AES-CBC AES-CFB128 XXX DES3-ECB, DES3-CBC, DES2-ECB, DES2-CBC, DES-ECB, DES-CBC XXX bignum Montgomery multiply (RSA, DSA) XXX MD5, SHA-1, SHA-256, SHA-384, SHA-512 XXX SHA-224 X ARCFOUR (RC4) X Solaris OpenSSL T4 Engine Optimization This table is for the Solaris OpenSSL built-in t4 engine. Algorithms listed above are also available through the OpenSSL pkcs11 engine. CLI: openssl(1openssl) APIs: openssl(5), engine(3openssl), evp(3openssl), libcrypto crypto(3openssl) AlgorithmSolaris 11Solaris 11SRU2Solaris 11.1 AES-ECB, AES-CBC, AES-CTR, AES-CBC AES-CFB128 XXX DES3-ECB, DES3-CBC, DES-ECB, DES-CBC X bignum Montgomery multiply (RSA, DSA) X MD5, SHA-1, SHA-256, SHA-384, SHA-512 XX SHA-224 X Source Code Availability Solaris Most of the T4 assembly code that called the new T4 crypto instructions was written by Ferenc Rákóczi of the Solaris Security group, with assistance from others. You can download the Solaris source for this and other parts of Solaris as a few zip files at the Oracle Download website. The relevant source files are generally under directories usr/src/common/crypto/{aes,arcfour,des,md5,modes,sha1,sha2}}/sun4v/. and usr/src/common/bignum/sun4v/. Solaris 11 binary is available from the Oracle Solaris 11 download website. OpenSSL t4 engine The source for the OpenSSL t4 engine, which is based on the Solaris source above, is viewable through the OpenGrok source code browser in directory src/components/openssl/openssl-1.0.0/engines/t4 . You can download the source from the same website or through Mercurial source code management, hg(1). Conclusion Oracle Solaris with SPARC T4 provides a rich set of accelerated cryptographic and hash algorithms. Using the latest update, Solaris 11.1, provides the best set of optimized algorithms, but alternatives are often available, sometimes slightly slower, for releases back to Solaris 10 08/11 (U10). Reference See also these earlier blogs. SPARC T4 OpenSSL Engine by myself, Dan Anderson (2011), discusses the Openssl T4 engine and reviews the SPARC T4 processor for the Solaris 11 release. Exciting Crypto Advances with the T4 processor and Oracle Solaris 11 by Valerie Fenwick (2011) discusses crypto algorithms that were optimized for the T4 processor with the Solaris 11 FCS (11/11) and Solaris 10 08/11 (U10) release. T4 Crypto Cheat Sheet by Stefan Hinker (2012) discusses how to make T4 crypto optimization available to various consumers (such as SSH, Java, OpenSSL, Apache, etc.) High Performance Security For Oracle Database and Fusion Middleware Applications using SPARC T4 (PDF, 2012) discusses SPARC T4 and its usage to optimize application security. Configuring Oracle iPlanet WebServer / Oracle Traffic Director to use crypto accelerators on T4-1 servers by Meena Vyas (2012)

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  • Using Unreal 3 Engine within a .NET application

    - by bitbonk
    Now that the Unreal Development Kit for Unreal 3 engine is free I am thinking about utilizing it for an appication. Do you think it is possible to emebedd a Unreal 3 powered 3D window into a .NET (WPF or Windows Forms) and control parts of the gameobjects therein using c#? Is the engine plain c++? Or COM or is there a .NET wrapper or something?

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  • home page of my site is not appear in google search, when I type site:mario--games.com

    - by Bimal Das
    I am totally confused, when I place site:mario--games.com in google I see every page of my website in serp(search engine result page) except the home page. I don’t know why it’s happening but I check everything according to google SEO rule. But not getting success.I try to check my site through google webmaster tool everything is perfect there, Please help me to solve this. htaccess rule of my site RewriteEngine on #RewriteBase / #RewriteCond %{HTTP_REFERER} !^$ #RewriteCond %{HTTP_REFERER} !^http://(www\.)?jocuri-barbie.ro/.*$ [NC] #RewriteCond %{HTTP_REFERER} !^http://(www\.)?joc-jocuri-barbie.ro/.*$ [NC] #RewriteRule \.(gif|jpg|swf|flv|png)$ / [F] RewriteCond %{HTTP_HOST} ^sitename\.com$ RewriteRule ^(.*)$ http://www.sitename.com/$1 [R=301,L] RewriteRule ^privacy_policy.html$ privacy.php RewriteRule ^contact_us.html$ contact.php #RewriteCond %{HTTP_HOST} !^sitename.com$ #RewriteRule ^(.*)$ http://sitename.com/$1 [L,QSA,R=301] RewriteRule ^index\.php$ / [QSA,R=301] RewriteRule ^([A-Za-z0-9_]+)_([0-9]+).html$ articol.php?id=$2 RewriteRule ^([a-z_]+).html$ categorii.php?abbr=$1 RewriteRule ^([A-Za-z0-9+]+)$ search.php?cuvinte=$1 RewriteRule ^images/$ images [F] RewriteRule ^o_articole/$ o_articole [F]

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  • home page of my site is not appear in google search, when I type site:example.com

    - by Bimal Das
    I am totally confused, when I place site:example.com in google I see every page of my website in serp(search engine result page) except the home page. I don’t know why it’s happening but I check everything according to google SEO rule. But not getting success.I try to check my site through google webmaster tool everything is perfect there, Please help me to solve this. htaccess rule of my site RewriteEngine on #RewriteBase / #RewriteCond %{HTTP_REFERER} !^$ #RewriteCond %{HTTP_REFERER} !^http://(www\.)?example.ro/.*$ [NC] #RewriteCond %{HTTP_REFERER} !^http://(www\.)?exa-example.ro/.*$ [NC] #RewriteRule \.(gif|jpg|swf|flv|png)$ / [F] RewriteCond %{HTTP_HOST} ^sitename\.com$ RewriteRule ^(.*)$ http://www.sitename.com/$1 [R=301,L] RewriteRule ^privacy_policy.html$ privacy.php RewriteRule ^contact_us.html$ contact.php #RewriteCond %{HTTP_HOST} !^sitename.com$ #RewriteRule ^(.*)$ http://sitename.com/$1 [L,QSA,R=301] RewriteRule ^index\.php$ / [QSA,R=301] RewriteRule ^([A-Za-z0-9_]+)_([0-9]+).html$ articol.php?id=$2 RewriteRule ^([a-z_]+).html$ categorii.php?abbr=$1 RewriteRule ^([A-Za-z0-9+]+)$ search.php?cuvinte=$1 RewriteRule ^images/$ images [F] RewriteRule ^o_articole/$ o_articole [F]

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  • Change find method in database search so that it isn't case sensitive in Rails app

    - by Ryan
    Hello, I am learning Rails and have created a work-in-progress app that does one-word searches on a database of shortcut keys for various programs (http://keyboardcuts.heroku.com/shortcuts/home). The search method in the Shortcut model is the following: def self.search(search) search_condition = "%" + search + "%" find(:all, :conditions => ['action LIKE ? OR application LIKE ?', search_condition, search_condition]) end ...where 'action' and 'application' are columns in a SQLite table. (source: https://we.riseup.net/rails/simple-search-tutorial) For some reason, the search seems to be case sensitive (you can see this by searching 'Paste' vs. 'paste'). Can anyone help me figure out why and what I can do to make it not case sensitive? If not, can you at least point me in the right direction? Database creation: I first copied shortcuts from various website into Excel and saved it as a CSV. Then I migrated the database and filled it with the data using db:seed and a small script I wrote (I viewed the database and it looked fine). To get the SQLite database to the server, I used Taps as outline by the Heroku website (http://blog.heroku.com/archives/2009/3/18/push_and_pull_databases_to_and_from_heroku/). I am using Ubuntu. Please let me know if you need more information. Thanks in advance for you help, very much appreciated! Ryan

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  • HttpOnly cookies on google app engine java

    - by Spines
    Anyone know how I can use httponly cookies for sessions and cookies on the app engine? In the javadoc for the Cookie class, http://java.sun.com/javaee/6/docs/api/javax/servlet/http/Cookie.html#setHttpOnly(boolean) , there is a setHttpOnly method. I get a compiler error when trying to use it when developing for app engine though. The method was introduced in the Servlet 3.0 spec, so its pretty new.

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  • What does this term "w/ App Engine" mean?

    - by brilliant
    Hello, I received an answer to one of my questions here. The answerer said: "However if you intend to use it w/ App Engine keep in my mind that using Google IP will almost surely result w/ Captcha challenge. Also Yahoo might block your User-Agent that is being set permanently by Google." I don't understand what "w/" means in "w/ App Engine" and in "w/ Captcha challenge"

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  • Best deployment strategy for Python google app engine

    - by sushant
    I wonder if there are any best practices/patterns for deploying python apps on Google app engine specifically Django. The best practice should be combination of existing best practices viz. Fabric, Paver, Buildout etc. Also please share best practice patterns for developing (I could not get virtualenv running with Django and Django App engine helper)

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  • How to list my blog to google search

    - by messy123
    Hi, i had created a blog in blogspot.com, after few days later i updated. but my blog is not appearing in google search. even if i give the full link of blog its not coming.. i have some other blogs, it works well.. i dont no whats wrong with new one.. can any one know what to do

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  • Is it true that the Google Spider gives the most relevance of a search result to the first 68 characters of the <title>?

    - by leeand00
    I am reading documentation about my CMS and it states that an HTML page <title> tag is really important in SEO. It states that the Google Spider gives the most relevance to the first 68 characters of a site title. (68 characters being the number of characters that Google will display in it's search engine result pages,) Can anyone verify this is still true? I read in The Information Diet that content farms were getting too good at gaming Google's algorithm for collecting and posting SERPs and so google had to change the search algorithm.

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  • OSGI on google app engine?

    - by Patrick Cornelissen
    I am evaluating several technologies for an open source app for the google app engine. I'm searching for information regarding OSGI on googles app engine. I have found Lemmon but it seems to be a dead project. The last checkin was in mid 2009... :-/ There is also a eclipse blog entry from april 2009, but it's not a real success story. Has anyone successfully used OSGI in a GAE app?

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  • Netbeans Profiler failing for Google App Engine App

    - by Spines
    When I try to run the netbeans profiler on my app engine project it says: runserver-profile: [java] Error occurred during initialization of VM [java] Could not find agent library in absolute path: C:\Program BUILD FAILED Target "Files\NetBeans" does not exist in the project I'm not sure if this is because its an app engine project or if its something else. Anyone have any idea how to fix this?

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