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  • Caching issue with Centos forwarding DNS server

    - by Paddington
    I installed a Forwarding DNS server on Centos 5.10 and it is resolving addresses e.g google.com. When I stopped named (service named stop) and tried to dig (dig @localhost A google.com) there was a failure to resolve the address. I checked and see the caching daemon nscd is running. Does this mean the server is not caching at all? How can I get it to cache? named.conf options { // Those options should be used carefully because they disable port // randomization // query-source port 53; // query-source-v6 port 53; // Put files that named is allowed to write in the data/ directory: listen-on port 53 {127.0.0.1; 10.0.0.4;}; directory "/var/named"; // the default dump-file "/var/named/chroot/var/named/data/cache_dump.db"; statistics-file "/var/named/chroot/var/named/data/named_stats.txt"; memstatistics-file "/var/named/chroot/var/named/data/named_mem_stats.txt"; // allow-query {localhost; 192.168.0.0/24; 10.0.0.0/8;}; recursion yes; //allow-query { localhost; 10.0.0.0/8;}; allow-query { localhost; any; }; allow-query-cache { localhost; any; }; forward only; forwarders {8.8.8.8; 8.8.4.4;}; dnssec-enable yes; // dnssec-lookaside auto; /* Path to ISC DLV key */ // bindkeys-file "/etc/named.iscdlv.key"; // managed-keys-directory "/var/named/dynamic"; }; logging { channel default_debug { file "data/named.run"; severity dynamic; }; }; **

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  • How to implement an offline reader writer lock

    - by Peter Morris
    Some context for the question All objects in this question are persistent. All requests will be from a Silverlight client talking to an app server via a binary protocol (Hessian) and not WCF. Each user will have a session key (not an ASP.NET session) which will be a string, integer, or GUID (undecided so far). Some objects might take a long time to edit (30 or more minutes) so we have decided to use pessimistic offline locking. Pessimistic because having to reconcile conflicts would be far too annoying for users, offline because the client is not permanently connected to the server. Rather than storing session/object locking information in the object itself I have decided that any aggregate root that may have its instances locked should implement an interface ILockable public interface ILockable { Guid LockID { get; } } This LockID will be the identity of a "Lock" object which holds the information of which session is locking it. Now, if this were simple pessimistic locking I'd be able to achieve this very simply (using an incrementing version number on Lock to identify update conflicts), but what I actually need is ReaderWriter pessimistic offline locking. The reason is that some parts of the application will perform actions that read these complex structures. These include things like Reading a single structure to clone it. Reading multiple structures in order to create a binary file to "publish" the data to an external source. Read locks will be held for a very short period of time, typically less than a second, although in some circumstances they could be held for about 5 seconds at a guess. Write locks will mostly be held for a long time as they are mostly held by humans. There is a high probability of two users trying to edit the same aggregate at the same time, and a high probability of many users needing to temporarily read-lock at the same time too. I'm looking for suggestions as to how I might implement this. One additional point to make is that if I want to place a write lock and there are some read locks, I would like to "queue" the write lock so that no new read locks are placed. If the read locks are removed withing X seconds then the write lock is obtained, if not then the write lock backs off; no new read-locks would be placed while a write lock is queued. So far I have this idea The Lock object will have a version number (int) so I can detect multi-update conflicts, reload, try again. It will have a string[] for read locks A string to hold the session ID that has a write lock A string to hold the queued write lock Possibly a recursion counter to allow the same session to lock multiple times (for both read and write locks), but not sure about this yet. Rules: Can't place a read lock if there is a write lock or queued write lock. Can't place a write lock if there is a write lock or queued write lock. If there are no locks at all then a write lock may be placed. If there are read locks then a write lock will be queued instead of a full write lock placed. (If after X time the read locks are not gone the lock backs off, otherwise it is upgraded). Can't queue a write lock for a session that has a read lock. Can anyone see any problems? Suggest alternatives? Anything? I'd appreciate feedback before deciding on what approach to take.

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  • Best in-memory cache of DB objects for Silverlight [closed]

    - by Jon
    Hi, I'd like to set up a cache of database objects (i.e. rows in a table) in memory in silverlight, which I'll do using WCF and linq-to-sql. Once I have the objects in memory, I'm planning on using MSMQ to receive new objects whenever they have been modified. It's a somewhat complex approach but the goal is to reduce trips to the database and allow instant data communication between Silverlight applications that are connected to the MSMQ. My Silverlight applications are meant to be long-running and the amount of data to be cached will not be large. I'm planning on saving the in-memory cache using local storage. Anyway, in order to process the updated objects that come in, I'd like to know if the user has changed the existing object. Could I use some event relating to data-binding to set a flag indicating that the object has changes? Maybe there's a better way to do the cache entirely? Thanks!

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  • Complex knowledge management system with CRM..written internally

    - by JonH
    We've all heard of salesforce and sugarcrm and the likes of systems like this. Unfortunately at my workplace we have been asked to write a similiar system (rather then license or purchase). Basically the database is fairly large. Think of modules such as: Corporate groups, customers, programs, projects, sub projects, and issue management. In simple terms a corporate group has one to many customers. A program has one or more projects. A project has one or more sub projects. And an issue can be created on many sub projects. Of course the system is a bit more complex but instead of listing every single module I think its best to keep it simple. In any event, the system in its current state has only two resources to be working on it (basically we have to do it all: CSS, database, jquery, asp.net and C#). We've started off well by defining the UI master and footer pages that way we can reuse those across all of our pages. Now comes the hard part. The system will have about 4k end users with say 5-10% being concurrent users. We are wondering if it makes sense to cache our database data (For say 5-10 minutes) rather then continously hit our database. The reason being is some of these pages may have 5-10 search filters associated with the page. Imagine every time a selection is made from a search box how many database hits. Also some of these search fields cascade so selecting for instance an initial drop down may cascade several drop down boxes under them. Is it wrong to cache because I am not finding too many articles on whether it is a good idea or not. Remember the system is similiar to say a CRM system where we manage our various customers, projects, sub projects, issues, etc.

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  • How to make easily PDF version of a web?

    - by MartyIX
    I'm trying to make an offline version of a web and I'm looking for a tool that would do the task automatically for the whole web (circa 1000 pages of HTML + images). Is there anything like that and free? I know it is quite challenge for a program but maybe I'll be lucky :). EDIT: It should be a program for Windows. Thanks!

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  • Changing frontend cache

    - by Utsav
    Our architecture consists of a front-end cache that most read only users obtain their data from directly. The front-end cache sits in front of a farm of webservers that serve pages written in PHP. We need to be able to detect certain conditions at the front-end cache level and pass those values through to the back-end via HTTP headers. For example we would like to manually tag the carrier network based on the IP address. So, for incoming traffic if the user is say coming from an IP address in the range of "41.202.192.0"/19 we would tag them as being a Orange Cameroon user by setting the appropriate HTTP request header, e.g., X-Carrier = "Orange Cameroon". Based on the setting of this header we would like to vary the cache and serve a different banner to the end user. How would you go about doing this? Keep in mind that we don't want to pollute the cache and we also don't want to create too many small cache segments. Assumptions: You can assume that the X-Carrier has already been detected in our cache. So, for the purposes of your test you can just set this value manually in your example script.

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  • Writing low latency Java

    - by user997112
    Are there any Java-specific techniques (things which wouldnt apply to C++) for writing low latency code, in Java? I often see Java low latency roles and they ask for experience writing low latency Java- which sometimes seems a little bit of an oxymoron. The only think I could think of is experience with JNI, outsourcing I/O calls to native code. Also possibly using the disruptor pattern, but thats not an actual technology. Are there any Java specific tips for writing low latency code? I am aware there is a Real Time Java Spec, but I have been warned real-time is not the same as low latency....

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  • .htaccess template, suggestions needed

    - by purpler
    # Defaults AddDefaultCharset UTF-8 DefaultLanguage en-US FileETag None Header unset ETag ServerSignature Off SetEnv TZ Europe/Belgrade # Rewrites Options +FollowSymLinks RewriteEngine On RewriteBase / # Redirect to WWW RewriteCond %{HTTP_HOST} ^serpentineseo.com RewriteRule (.*) http://www.serpentineseo.com/$1 [R=301,L] # Redirect index to root RewriteCond %{THE_REQUEST} ^[A-Z]{3,9}\ /.*index\.html\ HTTP/ RewriteRule ^(.*)index\.html$ /$1 [R=301,L] # Cache media files: ExpiresActive On ExpiresDefault A0 # Month <filesMatch "\.(gif|jpg|jpeg|png|ico|swf|js)$"> Header set Cache-Control "max-age=2592000, public" </filesMatch> # Week <FilesMatch "\.(css|pdf)$"> Header set Cache-Control "max-age=604800" </FilesMatch> # 10 Min <FilesMatch "\.(html|htm|txt)$"> Header set Cache-Control "max-age=600" </FilesMatch> # Do not cache <FilesMatch "\.(pl|php|cgi|spl|scgi|fcgi)$"> Header unset Cache-Control </FilesMatch> # Compress output <IfModule mod_deflate.c> <FilesMatch "\.(html|js|css)$"> SetOutputFilter DEFLATE </FilesMatch> </IfModule> # Error Documents ErrorDocument 206 /error/206.html ErrorDocument 401 /error/401.html ErrorDocument 403 /error/403.html ErrorDocument 404 /error/404.html ErrorDocument 500 /error/500.html # Prevent hotlinking RewriteCond %{HTTP_REFERER} !^$ RewriteCond %{HTTP_REFERER} !^http://(www\.)?serpentineseo.com/.*$ [NC] RewriteRule \.(gif|jpg|png)$ http://www.serpentineseo.com/images/angryman.png [R,L] # Prevent offline browsers RewriteCond %{HTTP_USER_AGENT} ^BlackWidow [OR] RewriteCond %{HTTP_USER_AGENT} ^Bot\ mailto:[email protected] [OR] RewriteCond %{HTTP_USER_AGENT} ^ChinaClaw [OR] RewriteCond %{HTTP_USER_AGENT} ^Custo [OR] RewriteCond %{HTTP_USER_AGENT} ^DISCo [OR] RewriteCond %{HTTP_USER_AGENT} ^Download\ Demon [OR] RewriteCond %{HTTP_USER_AGENT} ^eCatch [OR] RewriteCond %{HTTP_USER_AGENT} ^EirGrabber [OR] RewriteCond %{HTTP_USER_AGENT} ^EmailSiphon [OR] RewriteCond %{HTTP_USER_AGENT} ^EmailWolf [OR] RewriteCond %{HTTP_USER_AGENT} ^Express\ WebPictures [OR] RewriteCond %{HTTP_USER_AGENT} ^ExtractorPro [OR] RewriteCond %{HTTP_USER_AGENT} ^EyeNetIE [OR] RewriteCond %{HTTP_USER_AGENT} ^FlashGet [OR] RewriteCond %{HTTP_USER_AGENT} ^GetRight [OR] RewriteCond %{HTTP_USER_AGENT} ^GetWeb! [OR] RewriteCond %{HTTP_USER_AGENT} ^Go!Zilla [OR] RewriteCond %{HTTP_USER_AGENT} ^Go-Ahead-Got-It [OR] RewriteCond %{HTTP_USER_AGENT} ^GrabNet [OR] RewriteCond %{HTTP_USER_AGENT} ^Grafula [OR] RewriteCond %{HTTP_USER_AGENT} ^HMView [OR] RewriteCond %{HTTP_USER_AGENT} HTTrack [NC,OR] RewriteCond %{HTTP_USER_AGENT} ^Image\ Stripper [OR] RewriteCond %{HTTP_USER_AGENT} ^Image\ Sucker [OR] RewriteCond %{HTTP_USER_AGENT} Indy\ Library [NC,OR] RewriteCond %{HTTP_USER_AGENT} ^InterGET [OR] RewriteCond %{HTTP_USER_AGENT} ^Internet\ Ninja [OR] RewriteCond %{HTTP_USER_AGENT} ^JetCar [OR] RewriteCond %{HTTP_USER_AGENT} ^JOC\ Web\ Spider [OR] RewriteCond %{HTTP_USER_AGENT} ^larbin [OR] RewriteCond %{HTTP_USER_AGENT} ^LeechFTP [OR] RewriteCond %{HTTP_USER_AGENT} ^Mass\ Downloader [OR] RewriteCond %{HTTP_USER_AGENT} ^MIDown\ tool [OR] RewriteCond %{HTTP_USER_AGENT} ^Mister\ PiX [OR] RewriteCond %{HTTP_USER_AGENT} ^Navroad [OR] RewriteCond %{HTTP_USER_AGENT} ^NearSite [OR] RewriteCond %{HTTP_USER_AGENT} ^NetAnts [OR] RewriteCond %{HTTP_USER_AGENT} ^NetSpider [OR] RewriteCond %{HTTP_USER_AGENT} ^Net\ Vampire [OR] RewriteCond %{HTTP_USER_AGENT} ^NetZIP [OR] RewriteCond %{HTTP_USER_AGENT} ^Octopus [OR] RewriteCond %{HTTP_USER_AGENT} ^Offline\ Explorer [OR] RewriteCond %{HTTP_USER_AGENT} ^Offline\ Navigator [OR] RewriteCond %{HTTP_USER_AGENT} ^PageGrabber [OR] RewriteCond %{HTTP_USER_AGENT} ^Papa\ Foto [OR] RewriteCond %{HTTP_USER_AGENT} ^pavuk [OR] RewriteCond %{HTTP_USER_AGENT} ^pcBrowser [OR] RewriteCond %{HTTP_USER_AGENT} ^RealDownload [OR] RewriteCond %{HTTP_USER_AGENT} ^ReGet [OR] RewriteCond %{HTTP_USER_AGENT} ^SiteSnagger [OR] RewriteCond %{HTTP_USER_AGENT} ^SmartDownload [OR] RewriteCond %{HTTP_USER_AGENT} ^SuperBot [OR] RewriteCond %{HTTP_USER_AGENT} ^SuperHTTP [OR] RewriteCond %{HTTP_USER_AGENT} ^Surfbot [OR] RewriteCond %{HTTP_USER_AGENT} ^tAkeOut [OR] RewriteCond %{HTTP_USER_AGENT} ^Teleport\ Pro [OR] RewriteCond %{HTTP_USER_AGENT} ^VoidEYE [OR] RewriteCond %{HTTP_USER_AGENT} ^Web\ Image\ Collector [OR] RewriteCond %{HTTP_USER_AGENT} ^Web\ Sucker [OR] RewriteCond %{HTTP_USER_AGENT} ^WebAuto [OR] RewriteCond %{HTTP_USER_AGENT} ^WebCopier [OR] RewriteCond %{HTTP_USER_AGENT} ^WebFetch [OR] RewriteCond %{HTTP_USER_AGENT} ^WebGo\ IS [OR] RewriteCond %{HTTP_USER_AGENT} ^WebLeacher [OR] RewriteCond %{HTTP_USER_AGENT} ^WebReaper [OR] RewriteCond %{HTTP_USER_AGENT} ^WebSauger [OR] RewriteCond %{HTTP_USER_AGENT} ^Website\ eXtractor [OR] RewriteCond %{HTTP_USER_AGENT} ^Website\ Quester [OR] RewriteCond %{HTTP_USER_AGENT} ^WebStripper [OR] RewriteCond %{HTTP_USER_AGENT} ^WebWhacker [OR] RewriteCond %{HTTP_USER_AGENT} ^WebZIP [OR] RewriteCond %{HTTP_USER_AGENT} ^Wget [OR] RewriteCond %{HTTP_USER_AGENT} ^Widow [OR] RewriteCond %{HTTP_USER_AGENT} ^WWWOFFLE [OR] RewriteCond %{HTTP_USER_AGENT} ^Xaldon\ WebSpider [OR] RewriteCond %{HTTP_USER_AGENT} ^Zeus RewriteRule ^.*$ http://www.google.com [R,L] # Protect against DOS attacks by limiting file upload size LimitRequestBody 10240000 # Deny access to sensitive files <FilesMatch "\.(htaccess|psd|log)$"> Order Allow,Deny Deny from all </FilesMatch>

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  • .htaccess template, suggestions needed

    - by purpler
    DefaultLanguage en-US FileETag None Header unset ETag ServerSignature Off SetEnv TZ Europe/Belgrade # Rewrites Options +FollowSymLinks RewriteEngine On RewriteBase / # Redirect to WWW RewriteCond %{HTTP_HOST} ^serpentineseo.com RewriteRule (.*) http://www.serpentineseo.com/$1 [R=301,L] # Redirect index to root RewriteCond %{THE_REQUEST} ^[A-Z]{3,9}\ /.*index\.html\ HTTP/ RewriteRule ^(.*)index\.html$ /$1 [R=301,L] # Cache media files: ExpiresActive On ExpiresDefault A0 # Month <filesMatch "\.(gif|jpg|jpeg|png|ico|swf|js)$"> Header set Cache-Control "max-age=2592000, public" </filesMatch> # Week <FilesMatch "\.(css|pdf)$"> Header set Cache-Control "max-age=604800" </FilesMatch> # 10 Min <FilesMatch "\.(html|htm|txt)$"> Header set Cache-Control "max-age=600" </FilesMatch> # Do not cache <FilesMatch "\.(pl|php|cgi|spl|scgi|fcgi)$"> Header unset Cache-Control </FilesMatch> # Compress output <IfModule mod_deflate.c> <FilesMatch "\.(html|js|css)$"> SetOutputFilter DEFLATE </FilesMatch> </IfModule> # Error Documents ErrorDocument 206 /error/206.html ErrorDocument 401 /error/401.html ErrorDocument 403 /error/403.html ErrorDocument 404 /error/404.html ErrorDocument 500 /error/500.html # Prevent hotlinking RewriteCond %{HTTP_REFERER} !^$ RewriteCond %{HTTP_REFERER} !^http://(www\.)?serpentineseo.com/.*$ [NC] RewriteRule \.(gif|jpg|png)$ http://www.serpentineseo.com/images/angryman.png [R,L] # Prevent offline browsers RewriteCond %{HTTP_USER_AGENT} ^BlackWidow [OR] RewriteCond %{HTTP_USER_AGENT} ^Bot\ mailto:[email protected] [OR] RewriteCond %{HTTP_USER_AGENT} ^ChinaClaw [OR] RewriteCond %{HTTP_USER_AGENT} ^Custo [OR] RewriteCond %{HTTP_USER_AGENT} ^DISCo [OR] RewriteCond %{HTTP_USER_AGENT} ^Download\ Demon [OR] RewriteCond %{HTTP_USER_AGENT} ^eCatch [OR] RewriteCond %{HTTP_USER_AGENT} ^EirGrabber [OR] RewriteCond %{HTTP_USER_AGENT} ^EmailSiphon [OR] RewriteCond %{HTTP_USER_AGENT} ^EmailWolf [OR] RewriteCond %{HTTP_USER_AGENT} ^Express\ WebPictures [OR] RewriteCond %{HTTP_USER_AGENT} ^ExtractorPro [OR] RewriteCond %{HTTP_USER_AGENT} ^EyeNetIE [OR] RewriteCond %{HTTP_USER_AGENT} ^FlashGet [OR] RewriteCond %{HTTP_USER_AGENT} ^GetRight [OR] RewriteCond %{HTTP_USER_AGENT} ^GetWeb! [OR] RewriteCond %{HTTP_USER_AGENT} ^Go!Zilla [OR] RewriteCond %{HTTP_USER_AGENT} ^Go-Ahead-Got-It [OR] RewriteCond %{HTTP_USER_AGENT} ^GrabNet [OR] RewriteCond %{HTTP_USER_AGENT} ^Grafula [OR] RewriteCond %{HTTP_USER_AGENT} ^HMView [OR] RewriteCond %{HTTP_USER_AGENT} HTTrack [NC,OR] RewriteCond %{HTTP_USER_AGENT} ^Image\ Stripper [OR] RewriteCond %{HTTP_USER_AGENT} ^Image\ Sucker [OR] RewriteCond %{HTTP_USER_AGENT} Indy\ Library [NC,OR] RewriteCond %{HTTP_USER_AGENT} ^InterGET [OR] RewriteCond %{HTTP_USER_AGENT} ^Internet\ Ninja [OR] RewriteCond %{HTTP_USER_AGENT} ^JetCar [OR] RewriteCond %{HTTP_USER_AGENT} ^JOC\ Web\ Spider [OR] RewriteCond %{HTTP_USER_AGENT} ^larbin [OR] RewriteCond %{HTTP_USER_AGENT} ^LeechFTP [OR] RewriteCond %{HTTP_USER_AGENT} ^Mass\ Downloader [OR] RewriteCond %{HTTP_USER_AGENT} ^MIDown\ tool [OR] RewriteCond %{HTTP_USER_AGENT} ^Mister\ PiX [OR] RewriteCond %{HTTP_USER_AGENT} ^Navroad [OR] RewriteCond %{HTTP_USER_AGENT} ^NearSite [OR] RewriteCond %{HTTP_USER_AGENT} ^NetAnts [OR] RewriteCond %{HTTP_USER_AGENT} ^NetSpider [OR] RewriteCond %{HTTP_USER_AGENT} ^Net\ Vampire [OR] RewriteCond %{HTTP_USER_AGENT} ^NetZIP [OR] RewriteCond %{HTTP_USER_AGENT} ^Octopus [OR] RewriteCond %{HTTP_USER_AGENT} ^Offline\ Explorer [OR] RewriteCond %{HTTP_USER_AGENT} ^Offline\ Navigator [OR] RewriteCond %{HTTP_USER_AGENT} ^PageGrabber [OR] RewriteCond %{HTTP_USER_AGENT} ^Papa\ Foto [OR] RewriteCond %{HTTP_USER_AGENT} ^pavuk [OR] RewriteCond %{HTTP_USER_AGENT} ^pcBrowser [OR] RewriteCond %{HTTP_USER_AGENT} ^RealDownload [OR] RewriteCond %{HTTP_USER_AGENT} ^ReGet [OR] RewriteCond %{HTTP_USER_AGENT} ^SiteSnagger [OR] RewriteCond %{HTTP_USER_AGENT} ^SmartDownload [OR] RewriteCond %{HTTP_USER_AGENT} ^SuperBot [OR] RewriteCond %{HTTP_USER_AGENT} ^SuperHTTP [OR] RewriteCond %{HTTP_USER_AGENT} ^Surfbot [OR] RewriteCond %{HTTP_USER_AGENT} ^tAkeOut [OR] RewriteCond %{HTTP_USER_AGENT} ^Teleport\ Pro [OR] RewriteCond %{HTTP_USER_AGENT} ^VoidEYE [OR] RewriteCond %{HTTP_USER_AGENT} ^Web\ Image\ Collector [OR] RewriteCond %{HTTP_USER_AGENT} ^Web\ Sucker [OR] RewriteCond %{HTTP_USER_AGENT} ^WebAuto [OR] RewriteCond %{HTTP_USER_AGENT} ^WebCopier [OR] RewriteCond %{HTTP_USER_AGENT} ^WebFetch [OR] RewriteCond %{HTTP_USER_AGENT} ^WebGo\ IS [OR] RewriteCond %{HTTP_USER_AGENT} ^WebLeacher [OR] RewriteCond %{HTTP_USER_AGENT} ^WebReaper [OR] RewriteCond %{HTTP_USER_AGENT} ^WebSauger [OR] RewriteCond %{HTTP_USER_AGENT} ^Website\ eXtractor [OR] RewriteCond %{HTTP_USER_AGENT} ^Website\ Quester [OR] RewriteCond %{HTTP_USER_AGENT} ^WebStripper [OR] RewriteCond %{HTTP_USER_AGENT} ^WebWhacker [OR] RewriteCond %{HTTP_USER_AGENT} ^WebZIP [OR] RewriteCond %{HTTP_USER_AGENT} ^Wget [OR] RewriteCond %{HTTP_USER_AGENT} ^Widow [OR] RewriteCond %{HTTP_USER_AGENT} ^WWWOFFLE [OR] RewriteCond %{HTTP_USER_AGENT} ^Xaldon\ WebSpider [OR] RewriteCond %{HTTP_USER_AGENT} ^Zeus RewriteRule ^.*$ http://www.google.com [R,L] # Protect against DOS attacks by limiting file upload size LimitRequestBody 10240000 # Deny access to sensitive files <FilesMatch "\.(htaccess|psd|log)$"> Order Allow,Deny Deny from all </FilesMatch>

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  • Interesting links week #9

    - by erwin21
    Below a list of interesting links that I found this week: Frontend: Subway Map Visualization jQuery Plugin Internet Explorer 9 Guide for Developers Development: Html Agility Pack Cache Integration - Building and Using Custom OutputCache Providers in ASP.NET Marketing: A/B testing applications Other: Top 10 Reasons Web Developers Should Avoid Flash Interested in more interesting links follow me at twitter http://twitter.com/erwingriekspoor

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  • Intel programming "performance" books? [closed]

    - by user997112
    I vaguely remember seeing that Intel have produced a few good books, especially with regards to low latency programming, but I cannot remember the titles. Could people suggest the titles of Intel books (or ones relating to Intel products)? Examples include books on: -Intel Compiler -Intel Assembler -Any low level programming on Intel assembler -The Intel CPU architecture -Intel threading blocks library

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  • What reasons are there to reduce the max-age of a logo to just 8 days? [closed]

    - by callum
    Most websites set max-age=31536000 (1 year) on the Cache-control headers of static assets such as logo images. Examples: YouTube Yahoo Twitter BBC But there is a notable exception: Google's logo has max-age=691200 (8 days). I've checked the headers on the Google logo in the past, and it definitely used to be 1 year. (Also, it used to be part of a sprite, and now it is a standalone logo image, but that's probably another question...) What could be valid technical reasons why they would want to reduce its cache lifetime to just 8 days? Google's homepage is one of the most carefully optimised pages in the world, so I imagine there's a good reason. Edit: Please make sure you understand these points before answering: Nobody uses short max-age lifetimes to allow modifying a static asset in future. When you modify it, you just serve it at a different URL. So no, it's nothing to do with Google doodles. Think about it: even if Google didn't understand this basic trick of HTTP, 8 days still wouldn't be appropriate, as only those users who don't have the original logo cached would see the doodle on doodle-day – and then that group of users would go on seeing the doodle for the following 8 days after Google changed it back :) Web servers do not worry about "filling up" the caches of clients (or proxies). The client manages this by itself – when it hits its own storage limit, it just starts dropping the lowest priority items to make space for new items. The priority score is based on the question "How likely am I to benefit from having cached this URL?", which is nothing to do with what max-age value the server sent when the URL was originally requested; it's a heuristic based on the "frecency" of requests for that URL. The max-age simply lets the server set a cut-off point – the time at which the client is supposed to discard the item regardless of how often it's being re-used. It would be very nice and trusting of a downstream client/proxy to rely on all origin servers "holding back" from filling up their caches, but I don't think we live in that world ;)

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  • Android application Database Framework

    - by Marek Sebera
    When creating mobile (specially Android) application, I usually come to touch with similar pattern of working with data. Usually I need to fetch some remote data (covered by authorization process) to local cache. And on next request: Check networking Check presence of cache file Check version of cache file (if networking) Get new version and save cache (if networking and file not in cache, or outdated) Data store is no-SQL JSON Document-Based (and yes, I know about CouchDB Android version, but it doesn't fit my needs yet.) Process of authorizing to data source and code for check version of local cache is adapted to application. But the other code (handling network, saving cache, handling exceptions,...) is always the same. Is there any Data Store helper I can use, which provides functions I described above?

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  • Why is facebook cache buggy?

    - by IAdapter
    I just started using facebook and I see that many times when I add something to my profile and visit it later its not there. I bet the reason is that the page is cached and not updated very often. Is this on purpose or is it a bug? P.S. For example I added the music I like and later I see that I did not add it, but next day when I visit again its there. I saw it in two web-browsers, so its a facebook bug. Does it has something to do with scalability?

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  • How can I best implement 'cache until further notice' with memcache in multiple tiers?

    - by ajreal
    the term "client" used here is not referring to client's browser, but client server Before cache workflow 1. client make a HTTP request --> 2. server process --> 3. store parsed results into memcache for next use (cache indefinitely) --> 4. return results to client --> 5. client get the result, store into client's local memcache with TTL After cache workflow 1. another client make a HTTP request --> 2. memcache found return memcache results to client --> 3. client get the result, store into client's local memcache with TTL TTL = time to live Is possible for me to know when the data was updated, and to expire relevant memcache(s) accordingly. However, the pitfalls on client site cache TTL Any data update before the TTL is not pick-up by client memcache. In reverse manner, where there is no update, client memcache still expire after the TTL First request (or concurrent requests) after cache TTL will get throttle as it need to repeat the "Before cache workflow" In the event where client require several HTTP requests on a single web page, it could be very bad in performance. Ideal solution should be client to cache indefinitely until further notice. Here are the three proposals about futher notice Proposal 1 : Make use on HTTP header (current implementation) 1. client sent HTTP request last modified time header 2. server check if last data modified time=last cache time return status 304 3. client based on header to decide further processing GOOD? ---- - save some parsing for client - lesser data transfer BAD? ---- - fire a HTTP request is still slow - server end still need to process lots of requests Proposal 2 : Consistently issue a HTTP request to check all data group last modified time 1. client fire a HTTP request 2. server to return last modified time for all data group 3. client compare local last cache time with the result 4. if data group last cache time < server last modified time then request again for that data group only GOOD? ---- - only fetch what is no up-to-date - less requests for server BAD? ---- - every web page require a HTTP request Proposal 3 : Tell client when new data is available (Push) 1. when server end notice there is a change on a data group 2. notify clients on the changes 3. help clients to fetch again data 4. then reset client local memcache after data is parsed GOOD? ---- - let the cache act/behave like a true cache BAD? ---- - encourage race condition My preference is on proposal 3, and something like Gearman could be ideal Where there is a change, Gearman server to sent the task to multiple clients (workers). Am I crazy? (I know my first question is a bit crazy)

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  • Are HTTP requests cached? [closed]

    - by nischayn22
    Many HTTP requests are sent repeatedly by browsers on almost every page load, such as requesting the jQuery .js file etc. Since these are already used on too many sites doesn't modern browsers keep a cache for this? I am thinking of a system where the browser has a cached copy of the .js file used very very frequently. On a new request for the .js file, it sends the server a request for a hash of the .js file (provided the server can reply to that) and compares the returned hash with the cached copy's hash... rest is intuitive.

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  • Distributed cache and improvement

    - by philipl
    Have this question from interview: Web Service function given x static HashMap map (singleton created) if (!map.containsKey(x)) { perform some function to retrieve result y map.put(x, y); } return y; The interviewer asked general question such as what is wrong with this distributed cache implementation. Then asked how to improve on it, due to distributed servers will have different cached key pairs in the map. There are simple mistakes to be pointed out about synchronization and key object, but what really startled me was that this guy thinks that moving to database implementation solves the problem that different servers will have different map content, i.e., the situation when value x is not on server A but on server B, therefore redundant data has to be retrieved in server A. Does his thinking make any sense? (As I understand this is the basic cons for distributed cache against database model, seems he does not understand it at all) What is the typical solution for the cache growth issue (weak reference?) and sync issue (do not know which server has the key already cached - use load balancing)? Thanks

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  • Is the UX affected negatively by fully cacheable pages?

    - by ChocoDeveloper
    I want to have fully cacheable pages in my websites, but one cannot do that if they contain user-specific data, like the userbar or things in the UI that can change depending on the permissions the user has. So I was thinking whether it was possible to pull everything that is user-specific via ajax, and update the UI accordingly. But I'm worried that this might be annoying for the user, and also it might be difficult to develop. What do you think? Is there a pattern or something I can follow to deal with this?

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  • Random Cache Expiry

    - by mahemoff
    I've been experimenting with random cache expiry times to avoid situations where an individual request forces multiple things to update at once. For example, a web page might include five different components. If each is set to time out in 30 minutes, the user will have a long wait time every 30 minutes. So instead, you set them all to a random time between 15 and 45 minutes to make it likely at most only one component will reload for any given page load. I'm trying to find any research or guidelines on this topic, e.g. optimal variance parameters. I do recall seeing one article about how Google (?) uses this technique, but can't locate it, and there doesn't seem to be much written about the topic.

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  • Ember Data Sycn - LocalStorage+REST+RealTime+Online/Offline

    - by Miguel Madero
    We have a combination of requirements in terms o data access. Pre-load some reference data. We need reference data to survive browser restarts instead of just living in memory to avoid loading it all the time. I'm currently using the LocalStorageAdapter for that. Once we have it, we would like to sync changes (polling or using Socket.IO in the background and updating the LocalStorage could do the trick) There're other models that are more transactional, where we would need to directly go to the Server and get/save them. It would be nice to use something like the RESTAdapter for that. Lastly, there're some operations that should work off-line and changes should be synced later. To make it more concrete: * We pre-load vendor and "favorite products" into Local Storage. We work offline with those. * We need to sync server changes to vendor and product information. * If they search the full catalog, that requires them to be online. * When offline, we need to allow users to add something to their cart or even submit and order. We would like to queue this action and submit it when they have an Internet Connection. So a few questions are derived from this: * Is there a way to user RESTAdapter in combination with LocalStorage? * Is there some Socket.IO support? (Happy to do this part manually) * Is there Queueing support? Ideally at the Ember-Data level. I know we will have to do a lot of this manually and pull together the different lego pieces, but I wanted to ask for some perspective from experience Ember devs.

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  • How to synchronize HTML5 local/webStorage and server-side storage?

    - by thSoft
    I'm currently seeking solutions for transparently and automatically synchronizing and replicating across the client-side HTML5 localStorage or web storage and (maybe multiple) server-side storage(s) (the only requirement here that it should be simple and affordable to install on a regular hosting service). So do you have any experience with such libraries/technologies that offer data storage which automate the client-server storage synchronization and allow data to be available either offline or online or both? I think this is a fairly common scenario of web applications supporting offline mode...

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  • IE browser caching and the jQuery Form Plugin

    - by Harfleur
    Like so many lost souls before me, I'm floundering in the snake pit that is Ajax form submission and IE browser caching. I'm trying to write a simple script using the jQuery Form Plugin to Ajaxify Wordpress comments. It's working fine in Firefox, Chrome, Safari, et. al., but in IE, the response text is cached with the result that Ajax is pulling in the wrong comment. jQuery(this).ajaxSubmit({ success: function(data) { var response = $("<ol>"+data+"</ol>"); response.find('.commentlist li:last').hide().appendTo(jQuery('.commentlist')).slideDown('slow'); } }); ajaxSubmit sends the comment to wp-comments-post.php, which inelegantly spits back the entire page as a response. So, despite the fact that it's ugly as toads, I'm sticking the response text in a variable, using :last to isolate the most recent comment, and sliding it down in its place. IE, however, is returning the cached version of the page, which doesn't include the new comment. So ".commentlist li:last" selects the previous comment, a duplicate of which then uselessly slides down beneath the original. I've tried setting "cache: false" in the ajaxSubmit options, but it has no effect. I've tried setting a url option and tacking on a random number or timestamp, but it winds up being attached to the POST that submits the comment to the server rather than the GET that returns the response, and so has no effect. I'm not sure what else to try. Everything works fine in IE if I turn off browser caching, but that's obviously not something I can expect anyone viewing the page to do. Any help will be hugely appreciated. Thanks in advance! EDIT WITH A PROGRESS REPORT: A couple of people have suggested using PHP headers to prevent caching, and this does indeed work. The trouble is that wp-comments-post is spitting back the entire page when a new comment is submitted, and the only way I can see to add headers is to put them in the Wordpress post template, which disables caching on all posts at all times--not quite the behavior I'm looking for. Is there a way to set a php conditional--"if is_ajax" or something like that--that would keep the headers from being applied during regular pageloads, but plug them in if the page was called by an Ajax GET?

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  • how to use data caching with sqldatabase and asp& c#.net

    - by subash
    i have a large database which is updated every now and then. The application has been developed in asp.net and c#.net. i need to fetch data from the datbase to griview on a button click event . i am planning to use data caching , so that i can improve the performance of the application how can i use DATA caching mechanism so that i could see the updated result of the database in a gridview.

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  • NFS caching on Ubuntu

    - by stream
    We run a bunch of ubuntu servers (mostly 8.04 LTS) which all mount an nfs share at /nfs. We use the nfs primarily for two purposes: symlinking config files (such as apache vhosts) reading & writing uploaded files This all works great except it makes us fully dependent on the central NFS server (which is a DRBD cluster with heartbeat failover from primary to secondary, but we've still seen issues). What we'd like is if we could mount the NFS through some local caching layer which would make any file which had previously been read remain available even if /nfs isn't. Writes could be disabled for this period. Searching around it looks like cachefilesd may be an option. Unfortunately, it's only packaged for ubuntu 9.10 & 10.04 it looks like. I was also looking for a FUSE-based solution which might fit the bill, but hadn't found anything yet. Any suggestions would be greatly appreciated!

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  • Bind9 as a caching resolver fails with mismatch ID on localhost but not external IP

    - by argibbs
    I'm running Ubuntu 12.04 LTS on a machine on my private network. I have bind9 installed (v9.8.1-P1) via aptitude, so it appears to have put all the bits in the right places and the service starts automatically. I plan on adding some zones later, but first I'm just trying to get it working as a caching resolver. I installed bind, configured it, and starting using it. Initially I thought it was working ok, but then I found some sites weren't being resolved. I've pinned it down to being linked to the size of the result and bind failing-over to TCP mode. So: I'm trying to find out why bind is failing when I query for domain info and the result is 512 bytes (causing a truncation and retry on TCP). Specifically it fails with ID mismatches if I point dig at localhost, but works when I query the machine's own IP (192.168.0.2). This appears to be backwards to the problem that most people have when using bind (fails on external ip, works on localhost). If I do dig @localhost google.com (which has a response of <512 bytes) then it works; I get no warnings, and plenty of output. $ dig @localhost google.com ; <<>> DiG 9.8.1-P1 <<>> @localhost google.com [snip lots of output] ;; Query time: 39 msec ;; SERVER: 127.0.0.1#53(127.0.0.1) ;; WHEN: Thu Oct 17 23:08:34 2013 ;; MSG SIZE rcvd: 495 If I do dig @localhost play.google.com (which has a larger response) then I get back something like: $ dig @localhost play.google.com ;; Truncated, retrying in TCP mode. ;; ERROR: ID mismatch: expected ID 3696, got 27130 This seems to be standard, documented behaviour - when the UDP response is large (here 'large' == 512 bytes) it falls back to TCP. The ID mismatch is not expected though. If I do dig @192.168.0.2 play.google.com then I still get the warning about using TCP mode, but it otherwise works $ dig @192.168.0.2 play.google.com ;; Truncated, retrying in TCP mode. ; <<>> DiG 9.8.1-P1 <<>> @192.168.0.2 play.google.com [snip most of the output] ;; Query time: 5 msec ;; SERVER: 192.168.0.2#53(192.168.0.2) ;; WHEN: Thu Oct 17 23:05:55 2013 ;; MSG SIZE rcvd: 521 At the moment I've not set up any zones in my local instance, so it's just acting as a caching resolver. My options config is pretty much unchanged from standard, I've got the following set: options { directory "/var/cache/bind"; allow-query { 192.168/16; 127.0.0.1; }; forwarders { 8.8.8.8; 8.8.4.4; }; dnssec-validation auto; edns-udp-size 4096 ; allow-transfer { any; }; auth-nxdomain no; # conform to RFC1035 listen-on-v6 { any; }; }; And my /etc/resolv.conf is just nameserver 127.0.0.1 search .local The problem definitely seems linked to the failover to TCP mode: if I do dig +bufsize=4096 @localhost play.google.com then it works; no warning about failover to TCP, no ID mismatch, and a standard looking result. To be honest, if there was a way to force bind to use a much larger UDP buffer, that'd probably be good enough for me, but all I've been able to find mention of is max-udp-size 4096 and that doesn't change the behaviour in any way. I've also tried setting edns-udp-size 512 in case the problem is some weird EDNS issue with my router (which seems unlikely since the +bufsize=4096 flag works fine). I've also tried dig +trace @localhost play.google.com; this works. No truncation/TCP warning, and a full result. I've also tried changing the servers used in the forwarder (e.g. to OpenDNS), but that makes no difference. There's one last data point: if I repetitively do dig @localhost play.google.com I don't always get an ID mismatch, but sometimes a REFUSED error. I'm much more likely to get a REFUSED error if I dig the non-localhost IP (192.168.0.2) first: $ dig @localhost play.google.com ;; Truncated, retrying in TCP mode. ; <<>> DiG 9.8.1-P1 <<>> @localhost play.google.com ; (1 server found) ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: REFUSED, id: 35104 ;; flags: qr rd ra; QUERY: 1, ANSWER: 0, AUTHORITY: 0, ADDITIONAL: 0 ;; QUESTION SECTION: ;play.google.com. IN A ;; Query time: 4 msec ;; SERVER: 127.0.0.1#53(127.0.0.1) ;; WHEN: Thu Oct 17 23:20:13 2013 ;; MSG SIZE rcvd: 33 Any insights or things to try would be much appreciated.

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