Search Results

Search found 3912 results on 157 pages for 'distributed caching'.

Page 49/157 | < Previous Page | 45 46 47 48 49 50 51 52 53 54 55 56  | Next Page >

  • Value Not Updating? Check for Caching!

    Heres todays dumb mistake: A value that was supposedly updated by a routine on one page, wasnt changing on another ASP.NET screen. I carefully traced the progress of the update and everything looked right all the way to the database. After puzzling...(read more)...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • Does XNA/MonoGame have a text caching mechanism, or has an open source one been implemented?

    - by Casey
    I'm playing around with MonoGame, and I've noticed the SpriteFont class draws static text very inefficiently. Each time the text is drawn the spacing is recalculated. This isn't a big deal on my quad core PC, but on mobile applications it might be a problem. Before I go and program some text which caches the arrangement of its letters in an array and then feeds that array to the SpriteBatch, I would like to make sure there isn't something available to do this already, either in MonoGame itself or a class someone has implemented and made available for general use.

    Read the article

  • Ninject caching an injected DataContext? Lifecycle Management?

    - by awrigley
    I had a series of very bizarre errors being thrown in my repositories. Row not found or changed, 1 of 2 updates failed... Nothing made sense. It was as if my DataContext instance was being cached... Nothing made sense and I was considering a career move. I then noticed that the DataContext instance was passed in using dependency injection, using Ninject (this is the first time I have used DI...). I ripped out the Dependency Injection, and all went back to normal. Instantly. So dependency injection was the issue, but I still don't know why. I am speculating that Ninject was caching the injected DataContext. Is this correct? Is there a way of configuring the lifecycle management of injected parameters? If so, what would be the best configuration to use to have the DataContext behave like a normal DataContext, ie, no caching across requests?

    Read the article

  • IE8 is still caching my requests even with mathrandom.

    - by Ozaki
    TLDR IE is still caching my requests even with Math.random() included in the URL. So I added math random onto the end of my url: var MYKMLURL = 'http://' + host + 'data/pattern?key='+ Math.random(); I also added math random onto my function param: window.setTimeout(RefreshPatternData, 1000, MYKMLLAYER); function RefreshPatternData(layer) { layer.loaded = false; layer.setVisibility(true); layer.refresh({ force: true, params: { 'key': Math.random()} }); setTimeout(RefreshPatternData, 30000, MYKMLLAYER); } So the request appears as http://host/data/pattern?key=35678652545 etc. It changes everytime the request is made. It works in Firefox & Chrome & Safari etc. But IE8 is still caching the data and not updating my layer. Any ideas as to why this might be occuring?

    Read the article

  • Should I use SSD Caching on non bootable HD?

    - by Onema
    I have an asus 9p79x pro which allows me to do SSD Caching. I have a 256 GB SSD drive that I use an my primary boot drive, and I have a 1 TB disk where I put most of my games, music, videos, dowloads, pictures, etc. I also have an extra 64 GB SSD Drive that I'm currently not using. I thought it would be a good idea to use it as my 1 TB disk cache and improve the load time of games and programs that are installed on the 1 TB disk; but will this work correctly? It seems from all that I have read online about this board that it is used to cache a boot drive. Any thoughts? Thank you

    Read the article

  • How do you cache web pages with a personalized header using caching reverse proxy such as Squid, Var

    - by Continuation
    Pretty much every page of my website is dynamically generated. However they don't change that frequently (kinda similar to a forum page). So I'd like to cache them using a caching reverse proxy such as Squid, varnish or Nginx. The problem is that for my logged-in users, each of them will see a personalized header saying "Welcome John Doe. Logout" on the upper right corner of the page (just like serverfault). While users who aren't logged in will see a header that says "Login" instead. So basically even though every user will see the same page in general, they all slightly different version due to that personalized header. Is there any way so that I can cache the "main" part of the page and serve it from cache while generate the personalized header dynamically for each individual user? This must be a very common problem. How is it solved in general?

    Read the article

  • Why is APC (PHP Accelerator) Only caching apc.php?

    - by amvx
    I installed PHP5,APC and XDEBUGGER with the install script found here: Dreamhost PHP+APC Install Instructions/Script All systems seem to be working... except... I added the apc.php to see the caching stats of APC (GUI Interface), and it showed that only apc.php file was being cached despite having installed wordpress and prestashop under the same domain, installing and running those php scripts. I wonder if I did something wrong... but my php5 is running as a cgi/fastcgi. I think I might have read somewhere about there being some issue with this. Not sure. Any help is of coursed appreciated.

    Read the article

  • How to configure squid for retrieving (and caching) directly my static resources?

    - by fabien7474
    I have an Apache/Tomcat/Spring tc Server running on CentOS EC2 VM. I would like to install squid on the same machine as a proxy for retrieving (directly i.e. without forwarding the request to Apache/Tomcat) and caching static content ONLY identified by URIs : /images, /css or /js. Other URIs should be forwarded to the normal Web Server and not cached. Since I am a newbie, I didn't find from squid documentation how to configure squid for this desired behavior (and if it is even possible). Could you please help me and tell me how should I configure squid for this purpose? Thank you.

    Read the article

  • Should I disable write caching on my Windows 2008 VM?

    - by javano
    I have a Windows Server 2008 x64 Standard virtual machine that runs on a machine with a hardware RAID controller, a Perc 6/i, which has a battery on-board. Doing everything I can for additional performance, I think I should disable this. Is this very dangerous though? My understand is that Battery Backed Write Caching gives a performance boost to the host OS, telling it the write was complete when they are still sitting in flash waiting to be written. However, I can't see how it would be detrimental to performance, but is there a gain (even if marginal) to enabling it / disabling it? P.s. There machine has a backup power. Here is a screen shot for clarification:

    Read the article

  • Does a Distributed Version Control System really have no centralised repository?

    - by John
    It might seem a silly question, but how do you get a working drectory set up without a server to check out from? And how does a business keep a safe backed up copy of the repo? I assume then there must be a central repo... but then how exactly is it 'distributed'? I always thought of a server-client (SVN) Vs peer-2-peer (GIT) distinction, but I don't believe that can be correct unless tools like GIT are dependent on torrent-style technology?

    Read the article

  • SBUG Session: The Enterprise Cache

    - by EltonStoneman
    [Source: http://geekswithblogs.net/EltonStoneman] I did a session on "The Enterprise Cache" at the UK SOA/BPM User Group yesterday which generated some useful discussion. The proposal was for a dedicated caching layer which all app servers and service providers can hook into, sharing resources and common data. The architecture might end up like this: I'll update this post with a link to the slide deck once it's available. The next session will have Udi Dahan walking through nServiceBus, register on EventBrite if you want to come along. Synopsis Looked at the benefits and drawbacks of app-centric isolated caches, compared to an enterprise-wide shared cache running on dedicated nodes; Suggested issues and risks around caching including staleness of data, resource usage, performance and testing; Walked through a generic service cache implemented as a WCF behaviour – suitable for IIS- or BizTalk-hosted services - which I'll be releasing on CodePlex shortly; Listed common options for cache providers and their offerings. Discussion Cache usage. Different value propositions for utilising the cache: improved performance, isolation from underlying systems (e.g. service output caching can have a TTL large enough to cover downtime), reduced resource impact – CPU, memory, SQL and cost (e.g. caching results of paid-for services). Dedicated cache nodes. Preferred over in-host caching provided latency is acceptable. Depending on cache provider, can offer easy scalability and global replication so cache clients always use local nodes. Restriction of AppFabric Caching to Windows Server 2008 not viewed as a concern. Security. Limited security model in most cache providers. Options for securing cache content suggested as custom implementations. Obfuscating keys and serialized values may mean additional security is not needed. Depending on security requirements and architecture, can ensure cache servers only accessible to cache clients via IPsec. Staleness. Generally thought to be an overrated problem. Thinking in line with eventual consistency, that serving up stale data may not be a significant issue. Good technical arguments support this, although I suspect business users will be harder to persuade. Providers. Positive feedback for AppFabric Caching – speed, configurability and richness of the distributed model making it a good enterprise choice. .NET port of memcached well thought of for performance but lack of replication makes it less suitable for these shared scenarios. Replicated fork – repcached – untried and less active than memcached. NCache also well thought of, but Express version too limited for enterprise scenarios, and commercial versions look costly compared to AppFabric.

    Read the article

  • How should I configure nginx caching headers for a "baked" static file blog? (Octopress)

    - by Doug Stephen
    I recently deployed an Octopress blog (which is a blogging platform built around Jekyll). It's a static-site blog generator, with no dynamic content or databases to muck about with. It's being served up by nginx. My question is, what is the appropriate expires directive or Cache-Control header that I should set to make sure that visitors get the most up-to-date version of the site when they visit without having to manually refresh? Since the site is just .html files it seems to get cached pretty aggressively. I've tried a million different combinations of expires modified + xxxx and even straight up expires off but I can't seem to wrap my head around it. I'm very new to dealing with caching like this, specifically, on static files that change frequently, and obviously if the site hasn't been changed then I'd like for it to be served up out of the cache. Update (still not solved though): I found open_file_cache, tweaked that. Still no dice. It seems like what I might want to do is use nginx as a proxy cache and use Apache with ETags? Is there really no convenient way to make nginx play nicer with conditional requests from the client? TL;DR: I'm running a static-file blog and I'd like to set up nginx to only serve from the cache if the blog hasn't been updated recently, but I'm too stupid to figure it out myself because I'm relatively new to web servers.

    Read the article

  • How do I prevent lighttpd from caching static files, even when modified on disk?

    - by Pixelastic
    I am using lighttpd to serve static files. I have a bunch of images in a dir that I regularly update. This will change the file content (and filesize) as well as the modification date, but not their filename. When I access the files through http, the updates are not taken into account and lighty serves the old file. I can manually rename the file to something different, then lighttpd will return a 404 error, and if I rename my file back, I will get the correct updated version. Seems like lightty is using some kind of cache mechanism of its own (which is fine) to return static files. Unfortunatly, it seems that this mechanism doesn't update itself when files are modified. I checked through Wireshark, and my browser is really doing a request to the file, this is not a browser caching issue. It returns a 200 OK when requesting it from an empty cache, and a 304 Not Modified otherwise, as expected. But the file is returned with a wrong Last-Modified header that do not reflect the real last modification date. Maybe there is some config directive that I am not aware of ? I would like the files returned by lighty to reflect the changes made on disk directly, or at least being able to invalidate its cache.

    Read the article

  • OSB and Coherence Integration

    - by mark.ms.smith
    Anyone who has tried to manage Coherence nodes or tried to cache results in OSB, will appreciate the new functionality now available. As of WebLogic Server 10.3.4, you can use the WebLogic Administration Server, via the Administration Console or WLST, and java-based Node Manager to manage and monitor the life cycle of stand-alone Coherence cache servers. This is a great step forward as the previous options mainly involved writing your own scripts to do this. You can find an excellent description of how this works at James Bayer’s blog. You can also find the WebLogic documentation here.As of Oracle Service Bus 11gR1 (11.1.1.3.0), OSB now supports service result caching for Business Bervices with Coherence. If you use Business Services that return somewhat static results that do not change often, you can configure those Business Services to cache results. For Business Services that use result caching, you can control the time to live for the cached result. After the cached result expires, the next Business Service call results in invoking the back-end service to get the result. This result is then stored in the cache for future requests to access. I’m thinking that this caching functionality would be perfect for some sort of cross reference data that was refreshed nightly by batch. You can find the OSB Business Service documentation here.Result Caching in a dedicated JVMThis example demonstrates these new features by configuring a OSB Business Service to cache results in a separate Coherence JVM managed by WebLogic. The reason why you may want to use a separate, dedicated JVM is that the result cache data could potentially be quite large and you may want to protect your OSB java heap.In this example, the client will call an OSB Proxy Service to get Employee data based on an Employee Id. Using a Business Service, OSB calls an external system. The results are automatically cached and when called again, the respective results are retrieved from the cache rather than the external system.Step 1 – Set up your Coherence Server Via the OSB Administration Server Console, create your Coherence Server to be used as the results cache.Here are the configured Coherence Server arguments from the Server Start tab. Note that I’m using the default Cache Config and Override files in the domain.-Xms256m -Xmx512m -XX:PermSize=128m -XX:MaxPermSize=256m -Dtangosol.coherence.override=/app/middleware/jdev_11.1.1.4/user_projects/domains/osb_domain2/config/osb/coherence/osb-coherence-override.xml -Dtangosol.coherence.cluster=OSB-cluster -Dtangosol.coherence.cacheconfig=/app/middleware/jdev_11.1.1.4/user_projects/domains/osb_domain2/config/osb/coherence/osb-coherence-cache-config.xml -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dcom.sun.management.jmxremote Just incase you need it, here is my Coherence Server classpath:/app/middleware/jdev_11.1.1.4/oracle_common/modules/oracle.coherence_3.6/coherence.jar: /app/middleware/jdev_11.1.1.4/modules/features/weblogic.server.modules.coherence.server_10.3.4.0.jar: /app/middleware/jdev_11.1.1.4/oracle_osb/lib/osb-coherence-client.jarBy default, OSB will try and create a local result cache instance. You need to disable this by adding the following JVM parameters to each of the OSB Managed Servers:-Dtangosol.coherence.distributed.localstorage=false -DOSB.coherence.cluster=OSB-clusterIf you need more information on configuring a remote result cache, have a look at the configuration documentration under the heading Using an Out-of-Process Coherence Cache Server.Step 2 – Configure your Business Service Under the respective Business Service Message Handling Configuration (Advanced Properties), you need to enable “Result Caching”. Additionally, you need to determine what the cache data will be keyed on. In the example below, I’m keying it on the unique Employee Id.The Results As this test was on my laptop, the actual timings are just an indication that there is a benefit to caching results. Using my test harness, I sent 10,000 requests to OSB, all with the same Employee Id. In this case, I had result caching disabled.You can see that this caused the back end Business Service (BS_GetEmployeeData) to be called for each request. Then after enabling result caching, I sent the same number of identical requests.You can now see the Business Service was only invoked once on the first request. All subsequent requests used the Results Cache.

    Read the article

  • Windows Azure Use Case: New Development

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx Description: Computing platforms evolve over time. Originally computers were directed by hardware wiring - that, the “code” was the path of the wiring that directed an electrical signal from one component to another, or in some cases a physical switch controlled the path. From there software was developed, first in a very low machine language, then when compilers were created, computer languages could more closely mimic written statements. These language statements can be compiled into the lower-level machine language still used by computers today. Microprocessors replaced logic circuits, sometimes with fewer instructions (Reduced Instruction Set Computing, RISC) and sometimes with more instructions (Complex Instruction Set Computing, CISC). The reason this history is important is that along each technology advancement, computer code has adapted. Writing software for a RISC architecture is significantly different than developing for a CISC architecture. And moving to a Distributed Architecture like Windows Azure also has specific implementation details that our code must follow. But why make a change? As I’ve described, we need to make the change to our code to follow advances in technology. There’s no point in change for its own sake, but as a new paradigm offers benefits to our users, it’s important for us to leverage those benefits where it makes sense. That’s most often done in new development projects. It’s a far simpler task to take a new project and adapt it to Windows Azure than to try and retrofit older code designed in a previous computing environment. We can still use the same coding languages (.NET, Java, C++) to write code for Windows Azure, but we need to think about the architecture of that code on a new project so that it runs in the most efficient, cost-effective way in a Distributed Architecture. As we receive new requests from the organization for new projects, a distributed architecture paradigm belongs in the decision matrix for the platform target. Implementation: When you are designing new applications for Windows Azure (or any distributed architecture) there are many important details to consider. But at the risk of over-simplification, there are three main concepts to learn and architect within the new code: Stateless Programming - Stateless program is a prime concept within distributed architectures. Rather than each server owning the complete processing cycle, the information from an operation that needs to be retained (the “state”) should be persisted to another location c(like storage) common to all machines involved in the process.  An interesting learning process for Stateless Programming (although not unique to this language type) is to learn Functional Programming. Server-Side Processing - Along with developing using a Stateless Design, the closer you can locate the code processing to the data, the less expensive and faster the code will run. When you control the network layer, this is less important, since you can send vast amounts of data between the server and client, allowing the client to perform processing. In a distributed architecture, you don’t always own the network, so it’s performance is unpredictable. Also, you may not be able to control the platform the user is on (such as a smartphone, PC or tablet), so it’s imperative to deliver only results and graphical elements where possible.  Token-Based Authentication - Also called “Claims-Based Authorization”, this code practice means instead of allowing a user to log on once and then running code in that context, a more granular level of security is used. A “token” or “claim”, often represented as a Certificate, is sent along for a series or even one request. In other words, every call to the code is authenticated against the token, rather than allowing a user free reign within the code call. While this is more work initially, it can bring a greater level of security, and it is far more resilient to disconnections. Resources: See the references of “Nondistributed Deployment” and “Distributed Deployment” at the top of this article for more information with graphics:  http://msdn.microsoft.com/en-us/library/ee658120.aspx  Stack Overflow has a good thread on functional programming: http://stackoverflow.com/questions/844536/advantages-of-stateless-programming  Another good discussion on Stack Overflow on server-side processing is here: http://stackoverflow.com/questions/3064018/client-side-or-server-side-processing Claims Based Authorization is described here: http://msdn.microsoft.com/en-us/magazine/ee335707.aspx

    Read the article

  • 30 Steps to Master ASP.NET MVC Application development

    - by Rajesh Pillai
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 st1\:*{behavior:url(#ieooui) } /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} Welcome Readers!,   I am starting out a new series on ASP.NET  MVC skill building which will be posted over the next couple of weeks.  Let me know your thoughts on the content, which I have planned and a couple of them has been taken from ASP.NET MVC2 Cookbook. (NOTE: Only the heading has been taken, the content will be not :)).   Do let me know what you would like to see, or any additional inputs or ideas to cover in this topics.  The 30 steps are oultined below for quick reference.  Will start filling this out quickly.   Outlined is the ‘30’ step to master ASP.NET MVC.   A Peek Into Model What is a model? Different types of model Presentation/ViewModel Model Mapping (AutoMapper)   A Peak into View How view works in ASP.NET MVC? View Engine Design Custom View Engine View Best Practices Templated Helpers Partial Views   A Peak into Controller Introduction Controller Design Controller Best Practices Asynchronous Controller Custom Action Result Action Filters Controller Factory to use with IOC   Routes Explanation Routes from the database Routes from XML More complex routing   Master Pages Basics Setting Master Page Dynamically   Working with data in the view Repeating Views Array of check boxes Array of radio buttons Paged data CRUD Client side action Confirmation Dialog (modal window) jqGrid   Working with Forms   Validation Model Validation with DataAnnotations Using the xVal validation framework Client side validation with jQuery Validation Fluent Validation Model Binders   Templating Create strongly typed helper using T4 Custom View Templates with T4 Create custom MVC project template using T4   IOC AutoFac Ninject Unity Application   Areas   jQuery, Ajax and jQuery Plugins   State Maintenance Application State User state Cookies Webfarm   Error Handling View error handling Controller error handling ELMAH (Error Logging Modules and Handlers)   Authentication and Authorization User Registration form SignOn Process Password Reminder Membership and Roles Windows authentication Restricting access to all pages Restricting access to selected pages Restricting access to pages by role Restricting access to a controller Restricting access to selected area   Profiles and Themes Using Profiles Inheriting a Profile Migrating an anonymous profile Creating custom themes Using themes User personalized themes   Configuration Adding custom application settings in web.config Displaying custom error messages Accessing other web.config configuration elements Adding custom configuration elements to web.config Encrypting web.config sections   Tracing, Debugging and Logging   Caching Caching a whole page Caching pages based on route details Caching pages based on browser type and version Caching pages based custom strings Caching partial pages Caching application data Object Caching Using Microsoft Velocity Using MemCache Using AppFabric cache   Localization   HTTP Handlers and Modules   Security XSS/CSRF AnitForgery Encoding   HtmlHelpers Strongly typed helpers Writing custom helpers   Repository Pattern (Data access)   WF/WCF   Unit Testing   Mocking Framework   Integration Testing   Load / Performance Testing   Deployment    Once again let me know your thoughts on this.   Till then, Enjoy MVC'ing!!!

    Read the article

  • Windows Azure Use Case: New Development

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx Description: Computing platforms evolve over time. Originally computers were directed by hardware wiring - that, the “code” was the path of the wiring that directed an electrical signal from one component to another, or in some cases a physical switch controlled the path. From there software was developed, first in a very low machine language, then when compilers were created, computer languages could more closely mimic written statements. These language statements can be compiled into the lower-level machine language still used by computers today. Microprocessors replaced logic circuits, sometimes with fewer instructions (Reduced Instruction Set Computing, RISC) and sometimes with more instructions (Complex Instruction Set Computing, CISC). The reason this history is important is that along each technology advancement, computer code has adapted. Writing software for a RISC architecture is significantly different than developing for a CISC architecture. And moving to a Distributed Architecture like Windows Azure also has specific implementation details that our code must follow. But why make a change? As I’ve described, we need to make the change to our code to follow advances in technology. There’s no point in change for its own sake, but as a new paradigm offers benefits to our users, it’s important for us to leverage those benefits where it makes sense. That’s most often done in new development projects. It’s a far simpler task to take a new project and adapt it to Windows Azure than to try and retrofit older code designed in a previous computing environment. We can still use the same coding languages (.NET, Java, C++) to write code for Windows Azure, but we need to think about the architecture of that code on a new project so that it runs in the most efficient, cost-effective way in a Distributed Architecture. As we receive new requests from the organization for new projects, a distributed architecture paradigm belongs in the decision matrix for the platform target. Implementation: When you are designing new applications for Windows Azure (or any distributed architecture) there are many important details to consider. But at the risk of over-simplification, there are three main concepts to learn and architect within the new code: Stateless Programming - Stateless program is a prime concept within distributed architectures. Rather than each server owning the complete processing cycle, the information from an operation that needs to be retained (the “state”) should be persisted to another location c(like storage) common to all machines involved in the process.  An interesting learning process for Stateless Programming (although not unique to this language type) is to learn Functional Programming. Server-Side Processing - Along with developing using a Stateless Design, the closer you can locate the code processing to the data, the less expensive and faster the code will run. When you control the network layer, this is less important, since you can send vast amounts of data between the server and client, allowing the client to perform processing. In a distributed architecture, you don’t always own the network, so it’s performance is unpredictable. Also, you may not be able to control the platform the user is on (such as a smartphone, PC or tablet), so it’s imperative to deliver only results and graphical elements where possible.  Token-Based Authentication - Also called “Claims-Based Authorization”, this code practice means instead of allowing a user to log on once and then running code in that context, a more granular level of security is used. A “token” or “claim”, often represented as a Certificate, is sent along for a series or even one request. In other words, every call to the code is authenticated against the token, rather than allowing a user free reign within the code call. While this is more work initially, it can bring a greater level of security, and it is far more resilient to disconnections. Resources: See the references of “Nondistributed Deployment” and “Distributed Deployment” at the top of this article for more information with graphics:  http://msdn.microsoft.com/en-us/library/ee658120.aspx  Stack Overflow has a good thread on functional programming: http://stackoverflow.com/questions/844536/advantages-of-stateless-programming  Another good discussion on Stack Overflow on server-side processing is here: http://stackoverflow.com/questions/3064018/client-side-or-server-side-processing Claims Based Authorization is described here: http://msdn.microsoft.com/en-us/magazine/ee335707.aspx

    Read the article

  • Is there a distributed VCS that can manage large files?

    - by joelhardi
    Is there a distributed version control system (git, bazaar, mercurial, darcs etc.) that can handle files larger than available RAM? I need to be able to commit large binary files (i.e. datasets, source video/images, archives), but I don't need to be able to diff them, just be able to commit and then update when the file changes. I last looked at this about a year ago, and none of the obvious candidates allowed this, since they're all designed to diff in memory for speed. That left me with a VCS for managing code and something else ("asset management" software or just rsync and scripts) for large files, which is pretty ugly when the directory structures of the two overlap.

    Read the article

  • How to leverage Spring Integration in a real-world JMS distributed architecture?

    - by ngeek
    For the following scenario I am looking for your advices and tips on best practices: In a distributed (mainly Java-based) system with: many (different) client applications (web-app, command-line tools, REST API) a central JMS message broker (currently in favor of using ActiveMQ) multiple stand-alone processing nodes (running on multiple remote machines, computing expensive operations of different types as specified by the JMS message payload) How would one best apply the JMS support provided by the Spring Integration framework to decouple the clients from the worker nodes? When reading through the reference documentation and some very first experiments it looks like the configuration of an JMS inbound adapter inherently require to use a subscriber, which in a decoupled scenario does not exist. Small side note: communication should happen via JMS text messages (using a JSON data structure for future extensibility).

    Read the article

  • EJB3.1 Remote invocation - is it distributed automatically? is it expensive?

    - by Hank
    I'm building a JEE6 application with performance and scalability in the forefront of my mind. Business logic and JPA2-facade is held in stateless session beans (EJB3.1). As of right now, the SLSBs implement only @Remote-interfaces. When a bean needs to access another bean, it does so via RMI. My reasoning behind this is the assumption that, once the application runs on a bunch of clustered application servers, the RMI-part allows the execution to be distributed across the whole cluster automagically. Is that a correct assumption? I'm fine with dealing with the downsides of that (objects lose entityManager session, pass-by-value), at least I think so. But I am wondering if constant remote invocation isn't adding more load then necessary.

    Read the article

  • Java or Python distributed compute job (on a student budget)?

    - by midget_sadhu
    I have a large dataset (c. 40G) that I want to use for some NLP (largely embarrassingly parallel) over a couple of computers in the lab, to which i do not have root access, and only 1G of user space. I experimented with hadoop, but of course this was dead in the water-- the data is stored on an external usb hard drive, and i cant load it on to the dfs because of the 1G user space cap. I have been looking into a couple of python based options (as I'd rather use NLTK instead of Java's lingpipe if I can help it), and it seems distributed compute options look like: Ipython DISCO After my hadoop experience, i am trying to make sure i try and make an informed choice -- any help on what might be more appropriate would be greatly appreciated. Amazon's EC2 etc not really an option, as i have next to no budget.

    Read the article

  • What is the best way to secure a shared git repo for a small distributed team ?

    - by ashy_32bit
    We have a Scala project and we decided to use git. The problem is we are a very small distributed team and we want nobody outside of the team to have even the read only access to our git server (which has a valid IP and is world-accessible in the IP level). I have heard the git-daemon has no authentication mechanism by itself and you should somehow integrate it with ssh or something. What is the best (and easiest) way to make the git server respond only to authorized users ? Or perhaps git-daemon is not for this task ? I may add that I am looking for a simple and straightforward approach. I don't want to compete with github ;-)

    Read the article

  • Can Git push / pull over the internet to distributed repos?

    - by Quigrim
    I understand that Git can be used without a central repository. However, I am starting a project with several other people, and we are geographically distributed. I.e. We will never be on the same LAN to synch repos. So my question: Is it possible to push / pull changes from each others repos over the internet? If so, how do I go about it? Easiest non-fuss way. Thanx in advance.

    Read the article

  • How can I add HTTP request caching to an application using ASIHTTPRequests?

    - by smokey_the_bear
    I'm using ASIHttpRequests and an ASINetworkQueue in an iphone app to retrieve some 100k XML files and a lot of thumbnails from a web service. I'd like to cache the requests in the style of NSURLCache. ASI doesn't seem to support caching as is, and I looked at the code and it drops to C to create the requests, so inserting the NSURLCache layer seemed tricky. What's the best way to implement this?

    Read the article

< Previous Page | 45 46 47 48 49 50 51 52 53 54 55 56  | Next Page >