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  • Google Cloud Storage Office Hours - 9/5/2012

    Google Cloud Storage Office Hours - 9/5/2012 This session explains how to serve websites directly from Google Cloud Storage (including how to associate your storage resources with a custom domain name), followed by a Q&A session. Demo fun begins at 17:30! The slides (including live demo) can be found here: tinyurl.com From: GoogleDevelopers Views: 164 8 ratings Time: 50:13 More in Science & Technology

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  • Oracle RightNow CX Cloud Service 2012 Specialization

    - by Richard Lefebvre
    Oracle RightNow CX Cloud Service 2012 Certified Implementation Specialist (1Z1-465) is now in beta. Partners who pass the exam will be identified to customers, Oracle, and other partners as Certified Implementation Specialists. This is also the final step towards completion of the business and competency requirements for company-level Oracle RightNow CX Cloud Service 2012 Specialization. To view the complete Specialization criteria table, click here

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  • Dell Backs Ubuntu Enterprise Cloud

    <b>The VAR Guy:</b> "It's one small step for Dell, and one big strategic win for Canonical's Ubuntu Linux cloud strategy. Specifically, Dell on March 24 said it would support Ubuntu Enterprise Cloud (UEC) as an infrastructure solution."

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  • SAP multiplie les annonces sur son Cloud, nouvel environnement de développement et nouvelles applications prévus

    SAP multiplie les annonces sur son Cloud Nouvel environnement de développement et nouvelles applications prévus Le Cloud Computing était au coeur du SAPPHIRE NOW 2011 et sera au centre des préoccupation de SAP France pour l'année à venir. L'éditeur allemand affirme clairement aujourd'hui qu'il s'agit, pour lui, d'un « changement de paradigme sur le marché, d'une façon orchestrée qui offre une véritable valeur métier aux entreprises ». Pour renforcer sa stratégie, SAP multiplie d'ailleurs les annonces. Comme par exemple celle du rach...

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  • IBM lancera sa suite bureautique Cloud LotusLive Symphony pour contrer Google, Microsoft et Oracle

    IBM lancera sa suite bureautique Cloud LotusLive Symphony pour contrer Google, Microsoft et Oracle Jusqu'ici, IBM proposait plusieurs outils professionnels en mode hébergé (partage de fichiers, messagerie instantanée et vidéo-conférence, mails, etc.) avec LotusLive. Mais le numéro 2 mondial du logiciel ne proposait pas de suite bureautique. Un problème qui allait devenir stratégique puisque le numéro 1, Microsoft, a lancé l'été dernier ses Office Web Apps, et le numéro 3, Oracle, son Cloud Office en fin d'année. IBM a donc ann...

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  • Top10 List before Migrating to the Cloud

    - by Webgui
    Everybody's talking about putting their apps on the Cloud these days. But what do they really need to know when considering such a project?! Chevy (Fleischman) Weiss & Itzik Spitzen of Visual WebGui have put together a list of the 10 most important things you need to know and check before you start migrating your apps to the Cloud. Read the list >

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  • From Obsolete Servers to Private Cloud in 3 Easy Steps

    <b>Serverwatch:</b> "Our plan was to build a private cloud, for free, using open source operating systems and virtualization. Even with no money, we still had projects on the table that had to be done. We called our experiment, 'Nebulous,' named after the cloud. The end result was better than we had imagined."

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  • Steltix (NL) is live on Oracle Sales Cloud

    - by Richard Lefebvre
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Steltix (NL) uses Oracle Sales Cloud (Oracle Fusion CRM in the Oracle Cloud) to improve the business performance of customers and to reduce costs and minimize risks. If you read Dutch, I encourage you reading the press release here!

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  • Properly Analyze the Value of the Cloud

    Most analyses of the benefits of cloud computing are based on unrealistic total cost of ownership (TCO), return on investment (ROI), and capex/opex calculations. To fully understand the potential benefits of cloud computing, a new metric is required.

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  • Is there a test to see if hardware virtualization (vmx / xvm) are presently enabled within a Linux session?

    - by Dr. Edward Morbius
    I'm writing procedures for configuring VirtualBox support for 64-bit SMP guests, which requires hardware virtualization suppot (VTx/Intel, AMD-V/AMD). I have successfully configured this myself, however I'd like the procedure to be clear. sed -ne '/^flags/s/^.*: //p' /proc/cpuinfo | egrep -q '(vmx|svm)' && echo Has hardware virt || echo No HW virt ... shows if the CPU is capable. I've still got to go enable the feature in BIOS. Any way to test from within Linux to see that this is no or not? Thanks.

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  • Is there a test to see if hardware virtualization (vmx / svm) are presently enabled within a Linux session?

    - by Dr. Edward Morbius
    I'm writing procedures for configuring VirtualBox support for 64-bit SMP guests, which requires hardware virtualization suppot (VTx/Intel, AMD-V/AMD). I have successfully configured this myself, however I'd like the procedure to be clear. sed -ne '/^flags/s/^.*: //p' /proc/cpuinfo | egrep -q '(vmx|svm)' && echo Has hardware virt || echo No HW virt ... shows if the CPU is capable. I've still got to go enable the feature in BIOS. Any way to test from within Linux to see that this is no or not? Thanks. (Edit: s/xvm/svm/ in title)

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  • How many production servers should I start with?

    - by elfintar
    I'm building a site that I plan to grow to the size of SO. I'm only planning to have one prodcuction server to start off with. This will host everything including the database. I know it's very hard to say but am I likely to run into trouble quickly (if the site takes off) and if this is the case should I start out with more than one server so I can load balance everything from day 1? If no, should I be looking for something a little bigger than this spec?: http://www.123-reg.co.uk/dedicated-server-hosting/

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  • Structuring database for multi-object "activity" and "following" functionalities

    - by romaninsh
    I am working on a web application which operate with different types of objects such as user, profiles, pages etc. All objects have unique object_id. When objects interact it may produce "activity", such as user posting on the page or profile. Activity may be related to multiple objects through their object_id. Users may also follow "objects" and they need to be able to see stream of relevant activity. Could you provide me with some data structure suggestions which would be efficient and scalable? My goal is to show activity limited to the objects which user is following I am not limited by relational databases. Update As I'm getting advices on ORM and how index things, I'd like to again, stress my question. According to my current design model the database structure looks like this: As you can see - it's quite easy to implement database like that. Activity and Follower tables do contain much larger amount of records than the upper level but it's tolerable. But when it comes for me to create a "timeline" table, it becomes a nightmare. For every user I need to reference all the object activities which he follows. In terms of records it easily gets out of control. Please suggest me how to change this structure to avoid timeline creation and also be abel to quickly retrieve activity for any given user. Thanks.

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  • How to design a scalable notification system?

    - by Trent
    I need to write a notification system manager. Here is my requirements: I need to be able to send a Notification on different platforms, which may be totally different (for exemple, I need to be able to send either an SMS or an E-mail). Sometimes the notification may be the same for all recipients for a given platform, but sometimes it may be a notification per recipients (or several) per platform. Each notification can contain platform specific payload (for exemple an MMS can contains a sound or an image). The system need to be scalable, I need to be able to send a very large amount of notification without crashing either the application or the server. It is a two step process, first a customer may type a message and choose a platform to send to, and the notification(s) should be created to be processed either real-time either later. Then the system needs to send the notification to the platform provider. For now, I end up with some though but I don't know how scalable it will be or if it is a good design. I've though of the following objects (in a pseudo language): a generic Notification object: class Notification { String $message; Payload $payload; Collection<Recipient> $recipients; } The problem with the following objects is what if I've 1.000.000 recipients ? Even if the Recipient object is very small, it'll take too much memory. I could also create one Notification per recipient, but some platform providers requires me to send it in batch, meaning I need to define one Notification with several Recipients. Each created notification could be stored in a persistent storage like a DB or Redis. Would it be a good it to aggregate this later to make sure it is scalable? On the second step, I need to process this notification. But how could I distinguish the notification to the right platform provider? Should I use an object like MMSNotification extending an abstract Notification? or something like Notification.setType('MMS')? To allow to process a lot of notification at the same time, I think a messaging queue system like RabbitMQ may be the right tool. Is it? It would allow me to queue a lot of notification and have several worker to pop notification and process them. But what if I need to batch the recipients as seen above? Then I imagine a NotificationProcessor object for which I could I add NotificationHandler each NotificationHandler would be in charge to connect the platform provider and perform notification. I can also use an EventManager to allow pluggable behavior. Any feedbacks or ideas? Thanks for giving your time. Note: I'm used to work in PHP and it is likely the language of my choice.

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  • Scaling Scrum within a group of 100s of programmers

    - by blunders
    Most Scrum teams lean toward 7-15 people **, though it's not clear how to scale Scrum among 100s of people, or how the effectiveness of a given team might be compared to another team within the group; meaning beyond just breaking the group into Scrum teams of 7-15 people, it's unclear how efforts between the teams are managed, compared, etc. Any suggestions related to either of these topics, or additional related topics that might be of more importance to account for in planning a large scale SCRUM grouping? ** In reviewing research related to the suggested size of software development teams, which appears to be the basis for the suggested Scrum team size, I found what appears to be an error in the research which oddly appears to show that bigger teams (15+ ppl), not smaller teams (7 ppl) are better. UPDATE, "Re: Scrum doesn't scale": Made huge amounts of progress on personally researching the topic, but thought I'd respond to the general belief of some that Scrum doesn't scale by citing a quote from Succeeding with Agile by Mike Cohn : Scrum Does Scale: You have to admire the intellectual honesty of the earliest agile authors. They were all very careful to say that agile methodolgies like Scrum were for small projects. This conservatism wasn’t because agile or Scrum turned out to be unsuited for large projects but because they hadn’t used these processes on large projects and so were reluctant to advise their readers to do so. But, in the years since the Agile Manifesto and the books that came shortly before and after it, we have learned that the principles and practices of agile development can be scaled up and applied on large projects, albeit it with a considerable amount of overhead. Fortunately, if large organizations use the techniques described regarding the role of the product owner, working with a shared product backlog, being mindful of dependencies, coordinating work among teams, and cultivating communities of practice, they can successfully scale a Scrum project. SOURCE: (ran across the book thanks to Ladislav Mrnka answer)

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  • Highly scalable and dynamic "rule-based" applications?

    - by Prof Plum
    For a large enterprise app, everyone knows that being able to adjust to change is one of the most important aspects of design. I use a rule-based approach a lot of the time to deal with changing business logic, with each rule being stored in a DB. This allows for easy changes to be made without diving into nasty details. Now since C# cannot Eval("foo(bar);") this is accomplished by using formatted strings stored in rows that are then processed in JavaScript at runtime. This works fine, however, it is less than elegant, and would not be the most enjoyable for anyone else to pick up on once it becomes legacy. Is there a more elegant solution to this? When you get into thousands of rules that change fairly frequently it becomes a real bear, but this cannot be that uncommon of a problem that someone has not thought of a better way to do this. Any suggestions? Is this current method defensible? What are the alternatives? Edit: Just to clarify, this is a large enterprise app, so no matter which solution works, there will be plenty of people constantly maintaining its rules and data (around 10). Also, The data changes frequently enough to say that some sort of centralized server system is basically a must.

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  • Ruby on Rails background API polling

    - by Matthew Turney
    I need to integrate a free/busy calendar integration with Zimbra. Unlike outlook, it seems, Zimbra requires polling their API. I need to be able to grab the free/busy data in background tasks for 10's of thousands of users on a regular time interval, preferably every few minutes. What would be the best way to implement this in a Rails application without bogging down our current resque tasks? I have considered moving this process to something like node.js or something similar in Ruby. The biggest problem is that we have no control over the IO, as each clients Zimbra instances could be slow and we don't want to create a huge backup in tasks. Thoughts and ideas?

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  • How to design highly scalable web services in Java?

    - by Kshitiz Sharma
    I am creating some Web Services that would have 2000 concurrent users. The services are offered for free and are hence expected to get a large user base. In the future it may be required to scale up to 50,000 users. There are already a few other questions that address the issue like - Building highly scalable web services However my requirements differ from the question above. For example - My application does not have a user interface, so images, CSS, javascript are not an issue. It is in Java so suggestions like using HipHop to translate PHP to native code are useless. Hence I decided to ask my question separately. This is my project setup - Rest based Web services using Apache CXF Hibernate 3.0 (With relevant optimizations like lazy loading and custom HQL for tune up) Tomcat 6.0 MySql 5.5 My questions are - Are there alternatives to Mysql that offer better performance for what I'm trying to do? What are some general things to abide by in order to scale a Java based web application? I am thinking of putting my Application in two tomcat instances with httpd redirecting the request to appropriate tomcat on basis of load. Is this the right approach? Separate tomcat instances can help but then database becomes the bottleneck since both applications access the same database? I am a programmer not a Db Admin, how difficult would it be to cluster a Mysql database (or, to cluster whatever database offered as an alternative to 1)? How effective are caching solutions like EHCache? Any other general best practices? Some clarifications - Could you partition the data? Yes we could but we're trying to avoid it. We need to run a lot of data mining algorithms and the design would evolve over time so we can't be sure what lines of partition should be there.

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  • Web framework able to handle many concurrent users [closed]

    - by Jonas
    Social networking sites needs to handle many concurrent users e.g. for chat functionality. What web frameworks scales well and are able to handle more than 10.000 concurrent users connected with Comet or WebSockets. The server is a Linux VPS with limited memory, e.g. 1GB-8GB. I have been looking for some Java frameworks but they consume much memory per connection. So I'm looking for other alternatives too. Are there any good frameworks that are able to handle more than 10.000 concurrent users with limited memory resources?

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  • How to write a network game? [closed]

    - by Tom Wijsman
    Based on Why is so hard to develop a MMO?: Networked game development is not trivial; there are large obstacles to overcome in not only latency, but cheat prevention, state management and load balancing. If you're not experienced with writing a networked game, this is going to be a difficult learning exercise. I know the theory about sockets, servers, clients, protocols, connections and such things. Now I wonder how one can learn to write a network game: How to balance load problems? How to manage the game state? How to keep things synchronized? How to protect the communication and client from reverse engineering? How to work around latency problems? Which things should be computed local and which things on the server? ... Are there any good books, tutorials, sites, interesting articles or other questions regarding this? I'm looking for broad answers, but specific ones are fine too to learn the difference.

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  • Slashdotted web site seeks new home

    - by Arthur Edelstein
    I am maintaining a website that contains mostly simple html (just a little php). Normally the site receives only 4000 hits per month, but it was recently slashdotted by the New York Times (30,000 visitors and 30 GB in a day) and the web host provider (bluehost) throttled the CPU in response. This slowed down the website considerably. What web host providers would offer a more scalable solution? Ideally I would like a high-quality host that charges by the GB and can handle bandwidth to expand during sudden slashdotting episodes without a reduction in performance.

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