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  • Cloud Computing: Start with the problem

    - by BuckWoody
    At one point in my life I would build my own computing system for home use. I wanted a particular video card, a certain set of drives, and a lot of memory. Not only could I not find those things in a vendor’s pre-built computer, but those were more expensive – by a lot. As time moved on and the computing industry matured, I actually find that I can buy a vendor’s system as cheaply – and in some cases far more cheaply – than I can build it myself.   This paradigm holds true for almost any product, even clothing and furniture. And it’s also held true for software… Mostly. If you need an office productivity package, you simply buy one or use open-sourced software for that. There’s really no need to write your own Word Processor – it’s kind of been done a thousand times over. Even if you need a full system for customer relationship management or other needs, you simply buy one. But there is no “cloud solution in a box”.  Sure, if you’re after “Software as a Service” – type solutions, like being able to process video (Windows Azure Media Services) or running a Pig or Hive job in Hadoop (Hadoop on Windows Azure) you can simply use one of those, or if you just want to deploy a Virtual Machine (Windows Azure Virtual Machines) you can get that, but if you’re looking for a solution to a problem your organization has, you may need to mix Software, Infrastructure, and perhaps even Platforms (such as Windows Azure Computing) to solve the issue. It’s all about starting from the problem-end first. We’ve become so accustomed to looking for a box of software that will solve the problem, that we often start with the solution and try to fit it to the problem, rather than the other way around.  When I talk with my fellow architects at other companies, one of the hardest things to get them to do is to ignore the technology for a moment and describe what the issues are. It’s interesting to monitor the conversation and watch how many times we deviate from the problem into the solution. So, in your work today, try a little experiment: watch how many times you go after a problem by starting with the solution. Tomorrow, make a conscious effort to reverse that. You might be surprised at the results.

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  • Windows Azure Use Case: Web Applications

    - 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: Many applications have a requirement to be located outside of the organization’s internal infrastructure control. For instance, the company website for a brick-and-mortar retail company may want to post not only static but interactive content to be available to their external customers, and not want the customers to have access inside the organization’s firewall. There are also cases of pure web applications used for a great many of the internal functions of the business. This allows for remote workers, shared customer/employee workloads and data and other advantages. Some firms choose to host these web servers internally, others choose to contract out the infrastructure to an “ASP” (Application Service Provider) or an Infrastructure as a Service (IaaS) company. In any case, the design of these applications often resembles the following: In this design, a server (or perhaps more than one) hosts the presentation function (http or https) access to the application, and this same system may hold the computational aspects of the program. Authorization and Access is controlled programmatically, or is more open if this is a customer-facing application. Storage is either placed on the same or other servers, hosted within an RDBMS or NoSQL database, or a combination of the options, all coded into the application. High-Availability within this scenario is often the responsibility of the architects of the application, and by purchasing more hosting resources which must be built, licensed and configured, and manually added as demand requires, although some IaaS providers have a partially automatic method to add nodes for scale-out, if the architecture of the application supports it. Disaster Recovery is the responsibility of the system architect as well. Implementation: In a Windows Azure Platform as a Service (PaaS) environment, many of these architectural considerations are designed into the system. The Azure “Fabric” (not to be confused with the Azure implementation of Application Fabric - more on that in a moment) is designed to provide scalability. Compute resources can be added and removed programmatically based on any number of factors. Balancers at the request-level of the Fabric automatically route http and https requests. The fabric also provides High-Availability for storage and other components. Disaster recovery is a shared responsibility between the facilities (which have the ability to restore in case of catastrophic failure) and your code, which should build in recovery. In a Windows Azure-based web application, you have the ability to separate out the various functions and components. Presentation can be coded for multiple platforms like smart phones, tablets and PC’s, while the computation can be a single entity shared between them. This makes the applications more resilient and more object-oriented, and lends itself to a SOA or Distributed Computing architecture. It is true that you could code up a similar set of functionality in a traditional web-farm, but the difference here is that the components are built into the very design of the architecture. The API’s and DLL’s you call in a Windows Azure code base contains components as first-class citizens. For instance, if you need storage, it is simply called within the application as an object.  Computation has multiple options and the ability to scale linearly. You also gain another component that you would either have to write or bolt-in to a typical web-farm: the Application Fabric. This Windows Azure component provides communication between applications or even to on-premise systems. It provides authorization in either person-based or claims-based perspectives. SQL Azure provides relational storage as another option, and can also be used or accessed from on-premise systems. It should be noted that you can use all or some of these components individually. Resources: Design Strategies for Scalable Active Server Applications - http://msdn.microsoft.com/en-us/library/ms972349.aspx  Physical Tiers and Deployment  - http://msdn.microsoft.com/en-us/library/ee658120.aspx

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  • Are there any home/soho NAS devices that will backup/sync to the cloud?

    - by 3rdparty
    Looking for a home office (SOHO) market (priced) network hard drive (NAS) that will sync some or all of its content to a cloud-based backup service. The only option I've been able to find so far is NetGear's [ReadyNAS Vault][1] however from what I've read it's not as secure as it could be, and the service is quite expensive ($200/yr for 50GB of cloud storage) - it's 'powered' by ElephantDrive Ideally would love to see something like Wuala integrated into a Lacie Network HDD - conveniently, I suspect this is in the works as Lacie recently acquired Wuala, however nothing has come of it yet. I know there are options to use rsync with a customizable NAS (such as the very versatile and hackable D-Link DNS-323, but the easier this is to setup and maintain, the better. Thanks! ps. I had many links posted within this question, but was limited to posting with only one due to anti-spam restrictions - gotta get my 'reputation' higher!

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  • Why Buy Hardrives with storage server from a vendor?

    - by Mark
    Hi all, Im just browsing around at storage server's like the Dell MD100/ MD3000 and the Sun J4200 and although the storage server seems reasonable (approx $3000-$4000 AUD) the hard-drives that you buy to go along with them seems exorbitantly expensive. And I'm not sure why. Surely at most they are using good quality RAID level 7200rpm SATA hdd, but even then they are still charging almost 4 times the price. What is the advantage to buying these from them. I can see if one fails then the vendor replacing it is convenient. But at that price you could buy double the amount of hdd and just claim on warranty directly with the manufacturer. It would be much cheaper and you wouldn't be relying on someone else to fix your problems. Is this the case of "you don't get fired if you buy IBM?" mentality or is there some reason I'm not grasping here? Cheers Mark

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  • Live Event: OTN Architect Day: Cloud Computing - Two weeks and counting

    - by Bob Rhubart
    In just two weeks architects and others will gather at the Oracle Conference Center in Redwood Shores, CA for the first Oracle Technology Network Architect Day event of 2013. This event focuses on Cloud Computing, and features sessions specifically focused on real-world examples of the implementation of cloud computing. When: Tuesday July 9, 2013              8:30am - 12:30pm Where: Oracle Conference Center              350 Oracle Pkwy              Redwood City, CA 94065 Register now. It's free! Here's the agenda: 8:30am - 9:00am Registration and Continental Breakfast 9:00am - 9:45am Keynote 21st Century IT | Dr. James Baty VP, Global Enterprise Architecture Program, Oracle Imagine a time long, long ago. A time when servers were certified and dedicated to specific applications, when anything posted on an enterprise web site was from restricted, approved channels, and when we tried to limit the growth of 'dirty' data and storage. Today, applications are services running in the muti-tenant hybrid cloud. Companies beg their customers to tweet them, friend them, and publicly rate their products. And constantly analyzing a deluge of Internet, social and sensor data is the key to creating the next super-successful product, or capturing an evil terrorist. The old IT architecture was planned, dedicated, stable, controlled, with separate and well-defined roles. The new architecture is shared, dynamic, continuous, XaaS, DevOps. This keynote session describes the challenges and opportunities that the new business / IT paradigms present to the IT architecture and architects. 9:45am - 10:30am Technical Session Oracle Cloud: A Case Study in Building a Cloud | Anbu Krishnaswami Enterprise Architect, Oracle Building a Cloud can be challenging thanks to the complex requirements unique to Cloud computing and the massive scale typically associated with Cloud. Cloud providers can take an Infrastructure as a Service (IaaS) approach and build a cloud on virtualized commodity hardware, or they can take the Platform as a Service (PaaS) path, a service-oriented approach based on pre-configured, integrated, engineered systems. This presentation uses the Oracle Cloud itself as a case study in the use of engineered systems, demonstrating how the technical design of engineered systems is leveraged for building PaaS and SaaS Cloud services and a Cloud management infrastructure. The presentation will also explore the principles, patterns, best practices, and architecture views provided in Oracle's Cloud reference architecture. 10:30 am -10:45 am Break 10:45am-11:30am Technical Session Database as a Service | Michael Timpanaro-Perrotta Director, Product Management, Oracle Database Cloud New applications are now commonly built in a Cloud model, where the database is consumed as a service, and many established business processes are beginning to migrate to database as a service (DBaaS). This adoption of DBaaS is made possible by the availability of new capabilities in the database that enable resource pooling, dynamic resource management, model-based provisioning, metered use, and effective quality-of-service controls. This session will examine the catalog of database services at a large commercial bank to understand how these capabilities are enabling DBaaS for a wide range of needs within the enterprise. 11:30 am - 12:00 pm Panel Q&A Dr. James Baty, Anbu Krishnaswami, and Michael Timpanaro-Perrotta respond to audience questions. Registration is free, but seating is limited, so register now.

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  • Live Event: OTN Architect Day: Cloud Computing - Two weeks and counting

    - by Bob Rhubart
    In just two weeks architects and others will gather at the Oracle Conference Center in Redwood Shores, CA for the first Oracle Technology Network Architect Day event of 2013. This event focuses on Cloud Computing, and features sessions specifically focused on real-world examples of the implementation of cloud computing. When: Tuesday July 9, 2013              8:30am - 12:30pm Where: Oracle Conference Center              350 Oracle Pkwy              Redwood City, CA 94065 Register now. It's free! Here's the agenda: 8:30am - 9:00am Registration and Continental Breakfast 9:00am - 9:45am Keynote 21st Century IT | Dr. James Baty VP, Global Enterprise Architecture Program, Oracle Imagine a time long, long ago. A time when servers were certified and dedicated to specific applications, when anything posted on an enterprise web site was from restricted, approved channels, and when we tried to limit the growth of 'dirty' data and storage. Today, applications are services running in the muti-tenant hybrid cloud. Companies beg their customers to tweet them, friend them, and publicly rate their products. And constantly analyzing a deluge of Internet, social and sensor data is the key to creating the next super-successful product, or capturing an evil terrorist. The old IT architecture was planned, dedicated, stable, controlled, with separate and well-defined roles. The new architecture is shared, dynamic, continuous, XaaS, DevOps. This keynote session describes the challenges and opportunities that the new business / IT paradigms present to the IT architecture and architects. 9:45am - 10:30am Technical Session Oracle Cloud: A Case Study in Building a Cloud | Anbu Krishnaswami Enterprise Architect, Oracle Building a Cloud can be challenging thanks to the complex requirements unique to Cloud computing and the massive scale typically associated with Cloud. Cloud providers can take an Infrastructure as a Service (IaaS) approach and build a cloud on virtualized commodity hardware, or they can take the Platform as a Service (PaaS) path, a service-oriented approach based on pre-configured, integrated, engineered systems. This presentation uses the Oracle Cloud itself as a case study in the use of engineered systems, demonstrating how the technical design of engineered systems is leveraged for building PaaS and SaaS Cloud services and a Cloud management infrastructure. The presentation will also explore the principles, patterns, best practices, and architecture views provided in Oracle's Cloud reference architecture. 10:30 am -10:45 am Break 10:45am-11:30am Technical Session Database as a Service | Michael Timpanaro-Perrotta Director, Product Management, Oracle Database Cloud New applications are now commonly built in a Cloud model, where the database is consumed as a service, and many established business processes are beginning to migrate to database as a service (DBaaS). This adoption of DBaaS is made possible by the availability of new capabilities in the database that enable resource pooling, dynamic resource management, model-based provisioning, metered use, and effective quality-of-service controls. This session will examine the catalog of database services at a large commercial bank to understand how these capabilities are enabling DBaaS for a wide range of needs within the enterprise. 11:30 am - 12:00 pm Panel Q&A Dr. James Baty, Anbu Krishnaswami, and Michael Timpanaro-Perrotta respond to audience questions. Registration is free, but seating is limited, so register now.

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  • Planning in the Cloud - For Real

    - by jmorourke
    One of the hottest topics at Oracle OpenWorld 2012 this week is “the cloud”.  Over the past few years, Oracle has made major investments in cloud-based applications, including some acquisitions, and now has over 100 applications available through Oracle Cloud services.  At OpenWorld this week, Oracle announced seven new offerings delivered via the Oracle Cloud services platform, one of which is the Oracle Planning and Budgeting Cloud Service.  Based on Oracle Hyperion Planning, this service is the first of Oracle’s EPM applications to be to be offered in the Cloud.    This solution is targeted to organizations that are struggling with spreadsheets or legacy planning and budgeting applications, want to deploy a world class solution for financial planning and budgeting, but are constrained by IT resources and capital budgets. With the Oracle Planning and Budgeting Cloud Service, organizations can fast track their way to world-class financial planning, budgeting and forecasting – at cloud speed, with no IT infrastructure investments and with minimal IT resources. Oracle Hyperion Planning is a market-leading budgeting, planning and forecasting application that is used by over 3,300 organizations worldwide.  Prior to this announcement, Oracle Hyperion Planning was only offered on a license and maintenance basis.  It could be deployed on-premise, or hosted through Oracle On-Demand or third party hosting partners.  With this announcement, Oracle’s market-leading Hyperion Planning application will be available as a Cloud Service and through subscription-based pricing. This lowers the cost of entry and deployment for new customers and provides a scalable environment to support future growth. With this announcement, Oracle is the first major vendor to offer one of its core EPM applications as a cloud-based service.  Other major vendors have recently announced cloud-based EPM solutions, but these are only BI dashboards delivered via a cloud platform.   With this announcement Oracle is providing a market-leading, world-class financial budgeting, planning and forecasting as a cloud service, with the following advantages: ·                     Subscription-based pricing ·                     Available standalone or as an extension to Oracle Fusion Financials Cloud Service ·                     Implementation services available from Oracle and the Oracle Partner Network ·                     High scalability and performance ·                     Integrated financial reporting and MS Office interface ·                     Seamless integration with Oracle and non-Oracle transactional applications ·                     Provides customers with more options for their planning and budgeting deployment vs. strictly on-premise or cloud-only solution providers. The OpenWorld announcement of Oracle Planning and Budgeting Cloud Service is a preview announcement, with controlled availability expected in calendar year 2012.  For more information, check out the links below: Press Release Web site If you have any questions or need additional information, please feel free to contact me at [email protected].

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  • Why do I need two Instances in Windows Azure?

    - by BuckWoody
    Windows Azure as a Platform as a Service (PaaS) means that there are various components you can use in it to solve a problem: Compute “Roles” - Computers running an OS and optionally IIS - you can have more than one "Instance" of a given Role Storage - Blobs, Tables and Queues for Storage Other Services - Things like the Service Bus, Azure Connection Services, SQL Azure and Caching It’s important to understand that some of these services are Stateless and others maintain State. Stateless means (at least in this case) that a system might disappear from one physical location and appear elsewhere. You can think of this as a cashier at the front of a store. If you’re in line, a cashier might take his break, and another person might replace him. As long as the order proceeds, you as the customer aren’t really affected except for the few seconds it takes to change them out. The cashier function in this example is stateless. The Compute Role Instances in Windows Azure are Stateless. To upgrade hardware, because of a fault or many other reasons, a Compute Role's Instance might stop on one physical server, and another will pick it up. This is done through the controlling fabric that Windows Azure uses to manage the systems. It’s important to note that storage in Azure does maintain State. Your data will not simply disappear - it is maintained - in fact, it’s maintained three times in a single datacenter and all those copies are replicated to another for safety. Going back to our example, storage is similar to the cash register itself. Even though a cashier leaves, the record of your payment is maintained. So if a Compute Role Instance can disappear and re-appear, the things running on that first Instance would stop working. If you wrote your code in a Stateless way, then another Role Instance simply re-starts that transaction and keeps working, just like the other cashier in the example. But if you only have one Instance of a Role, then when the Role Instance is re-started, or when you need to upgrade your own code, you can face downtime, since there’s only one. That means you should deploy at least two of each Role Instance not only for scale to handle load, but so that the first “cashier” has someone to replace them when they disappear. It’s not just a good idea - to gain the Service Level Agreement (SLA) for our uptime in Azure it’s a requirement. We point this out right in the Management Portal when you deploy the application: (Click to enlarge) When you deploy a Role Instance you can also set the “Upgrade Domain”. Placing Roles on separate Upgrade Domains means that you have a continuous service whenever you upgrade (more on upgrades in another post) - the process looks like this for two Roles. This example covers the scenario for upgrade, so you have four roles total - One Web and one Worker running the "older" code, and one of each running the new code. In all those Roles you want at least two instances, and this example shows that you're covered for High Availability and upgrade paths: The take-away is this - always plan for forward-facing Roles to have at least two copies. For Worker Roles that do background processing, there are ways to architect around this number, but it does affect the SLA if you have only one.

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  • Cloud Computing Pricing - It's like a Hotel

    - by BuckWoody
    I normally don't go into the economics or pricing side of Distributed Computing, but I've had a few friends that have been surprised by a bill lately and I wanted to quickly address at least one aspect of it. Most folks are used to buying software and owning it outright - like buying a car. We pay a lot for the car, and then we use it whenever we want. We think of the "cloud" services as a taxi - we'll just pay for the ride we take an no more. But it's not quite like that. It's actually more like a hotel. When you subscribe to Azure using a free offering like the MSDN subscription, you don't have to pay anything for the service. But when you create an instance of a Web or Compute Role, Storage, that sort of thing, you can think of the idea of checking into a hotel room. You get the key, you pay for the room. For Azure, using bandwidth, CPU and so on is billed just like it states in the Azure Portal. so in effect there is a cost for the service and then a cost to use it, like water or power or any other utility. Where this bit some folks is that they created an instance, played around with it, and then left it running. No one was using it, no one was on - so they thought they wouldn't be charged. But they were. It wasn't much, but it was a surprise.They had the hotel room key, but they weren't in the room, so to speak. To add to their frustration, they had to talk to someone on the phone to cancel the account. I understand the frustration. Although we have all this spelled out in the sign up area, not everyone has the time to read through all that. I get that. So why not make this easier? As an explanation, we bill for that time because the instance is still running, and we have to tie up resources to be available the second you want them, and that costs money. As far as being able to cancel from the portal, that's also something that needs to be clearer. You may not be aware that you can spin up instances using code - and so cancelling from the Portal would allow you to do the same thing. Since a mistake in code could erase all of your instances and the account, we make you call to make sure you're you and you really want to take it down. Not a perfect system by any means, but we'll evolve this as time goes on. For now, I wanted to make sure you're aware of what you should do. By the way, you don't have to cancel your whole account not to be billed. Just delete the instance from the portal and you won't be charged. You don't have to call anyone for that. And just FYI - you can download the SDK for Azure and never even hit the online version at all for learning and playing around. No sign-up, no credit card, PO, nothing like that. In fact, that's how I demo Azure all the time. Everything runs right on your laptop in an emulated environment.  

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  • The Proper Use of the VM Role in Windows Azure

    - by BuckWoody
    At the Professional Developer’s Conference (PDC) in 2010 we announced an addition to the Computational Roles in Windows Azure, called the VM Role. This new feature allows a great deal of control over the applications you write, but some have confused it with our full infrastructure offering in Windows Hyper-V. There is a proper architecture pattern for both of them. Virtualization Virtualization is the process of taking all of the hardware of a physical computer and replicating it in software alone. This means that a single computer can “host” or run several “virtual” computers. These virtual computers can run anywhere - including at a vendor’s location. Some companies refer to this as Cloud Computing since the hardware is operated and maintained elsewhere. IaaS The more detailed definition of this type of computing is called Infrastructure as a Service (Iaas) since it removes the need for you to maintain hardware at your organization. The operating system, drivers, and all the other software required to run an application are still under your control and your responsibility to license, patch, and scale. Microsoft has an offering in this space called Hyper-V, that runs on the Windows operating system. Combined with a hardware hosting vendor and the System Center software to create and deploy Virtual Machines (a process referred to as provisioning), you can create a Cloud environment with full control over all aspects of the machine, including multiple operating systems if you like. Hosting machines and provisioning them at your own buildings is sometimes called a Private Cloud, and hosting them somewhere else is often called a Public Cloud. State-ful and Stateless Programming This paradigm does not create a new, scalable way of computing. It simply moves the hardware away. The reason is that when you limit the Cloud efforts to a Virtual Machine, you are in effect limiting the computing resources to what that single system can provide. This is because much of the software developed in this environment maintains “state” - and that requires a little explanation. “State-ful programming” means that all parts of the computing environment stay connected to each other throughout a compute cycle. The system expects the memory, CPU, storage and network to remain in the same state from the beginning of the process to the end. You can think of this as a telephone conversation - you expect that the other person picks up the phone, listens to you, and talks back all in a single unit of time. In “Stateless” computing the system is designed to allow the different parts of the code to run independently of each other. You can think of this like an e-mail exchange. You compose an e-mail from your system (it has the state when you’re doing that) and then you walk away for a bit to make some coffee. A few minutes later you click the “send” button (the network has the state) and you go to a meeting. The server receives the message and stores it on a mail program’s database (the mail server has the state now) and continues working on other mail. Finally, the other party logs on to their mail client and reads the mail (the other user has the state) and responds to it and so on. These events might be separated by milliseconds or even days, but the system continues to operate. The entire process doesn’t maintain the state, each component does. This is the exact concept behind coding for Windows Azure. The stateless programming model allows amazing rates of scale, since the message (think of the e-mail) can be broken apart by multiple programs and worked on in parallel (like when the e-mail goes to hundreds of users), and only the order of re-assembling the work is important to consider. For the exact same reason, if the system makes copies of those running programs as Windows Azure does, you have built-in redundancy and recovery. It’s just built into the design. The Difference Between Infrastructure Designs and Platform Designs When you simply take a physical server running software and virtualize it either privately or publicly, you haven’t done anything to allow the code to scale or have recovery. That all has to be handled by adding more code and more Virtual Machines that have a slight lag in maintaining the running state of the system. Add more machines and you get more lag, so the scale is limited. This is the primary limitation with IaaS. It’s also not as easy to deploy these VM’s, and more importantly, you’re often charged on a longer basis to remove them. your agility in IaaS is more limited. Windows Azure is a Platform - meaning that you get objects you can code against. The code you write runs on multiple nodes with multiple copies, and it all works because of the magic of Stateless programming. you don’t worry, or even care, about what is running underneath. It could be Windows (and it is in fact a type of Windows Server), Linux, or anything else - but that' isn’t what you want to manage, monitor, maintain or license. You don’t want to deploy an operating system - you want to deploy an application. You want your code to run, and you don’t care how it does that. Another benefit to PaaS is that you can ask for hundreds or thousands of new nodes of computing power - there’s no provisioning, it just happens. And you can stop using them quicker - and the base code for your application does not have to change to make this happen. Windows Azure Roles and Their Use If you need your code to have a user interface, in Visual Studio you add a Web Role to your project, and if the code needs to do work that doesn’t involve a user interface you can add a Worker Role. They are just containers that act a certain way. I’ll provide more detail on those later. Note: That’s a general description, so it’s not entirely accurate, but it’s accurate enough for this discussion. So now we’re back to that VM Role. Because of the name, some have mistakenly thought that you can take a Virtual Machine running, say Linux, and deploy it to Windows Azure using this Role. But you can’t. That’s not what it is designed for at all. If you do need that kind of deployment, you should look into Hyper-V and System Center to create the Private or Public Infrastructure as a Service. What the VM Role is actually designed to do is to allow you to have a great deal of control over the system where your code will run. Let’s take an example. You’ve heard about Windows Azure, and Platform programming. You’re convinced it’s the right way to code. But you have a lot of things you’ve written in another way at your company. Re-writing all of your code to take advantage of Windows Azure will take a long time. Or perhaps you have a certain version of Apache Web Server that you need for your code to work. In both cases, you think you can (or already have) code the the software to be “Stateless”, you just need more control over the place where the code runs. That’s the place where a VM Role makes sense. Recap Virtualizing servers alone has limitations of scale, availability and recovery. Microsoft’s offering in this area is Hyper-V and System Center, not the VM Role. The VM Role is still used for running Stateless code, just like the Web and Worker Roles, with the exception that it allows you more control over the environment of where that code runs.

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  • Nexenta storage metro cluster - what are components involved?

    - by Jiri Xichtkniha
    I'm quite imporesses that Nexenta can build storage metro cluster (site to site storage mirroring). As Nexenta is built on Illumos (successor of OpenSolaris) I was thinking what kind of components are involved in their storage metro cluster. Could anybody enlight me what components are doing this site-site mirroring and if these components are open source so one can build similar storage metro cluster on his own? ZFS is local filesystem so what takes care of clustering?

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  • Product Launch: Oracle Optimized Storage: Solutions for Simplifying IT

    - by swalker
    On July 18, 2012 at 10am PT 17pm UK Time, Oracle is hosting an online storage launch event featuring Mark Hurd, John Fowler, and several other Oracle executives.  This event will consist of 3 different webcasts, all detailing our latest messaging, momentum, and product innovations. Highlights include: Even in the most advanced data centers, outdated and inefficient storage management techniques are stifling business innovation. But now you can deploy Oracle’s optimized storage, the industry’s most advanced, easy-to-use, and cost-effective enterprise storage solutions. Learn about the benefits of Oracle’s latest storage innovations, including: How you can take on the biggest enterprise storage infrastructure challenges—including reducing costs and increasing data management efficiency A deep-dive discussion into Oracle’s storage innovations, featuring the leaders of Oracle’s storage development organizations A first look at Oracle’s newest scalable storage solution for midsize businesses Join Mark Hurd and John Fowler for this important online launch event. Register NOW

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  • Difference between Cloud and Virtualization

    - by Akash Kava
    Ops: This does not belong to ServerFault because it focuses on Programing Architecture. I have following questions regarding differences between Cloud and Virtualization.. How Cloud is different then Virtualization? Currently I tried to find out pricing of Rackspace, Amazone and all similar cloud providers, I found that our current 6 dedicated servers came cheaper then their pricing. So how one can claim cloud is cheaper? Is it cheaper only in comparison of normal hosting? We re organized our infrastructure in virtual environment to reduce or configuration overhead at time of failure, we did not have to rewrite any peice of code that is already written for earlier setup. So moving to virtualization does not require any re programming. But cloud is absoltely different and it will require entire reprogramming right? Is it really worth to recode when our current IT costs are 3-4 times lower then cloud hosting including raid backups and all sort of clustering for high availability? New programming architecture means new overheads of training staff, new methods of testing and new deployment schemes, does it justify over "on demand resource usage" words of cloud? We are having current development architecture with simple Server side ASP.NET WebServices with no local context and on client side Flex/Silverlight which offers pretty good REST architecture and its highly scalable. How does cloud differs from REST model of deployment? On storage, SQL Server or MySQL offers pretty good replication and high availibility then what is advantage in cloud? Data guarantee, one of our vendor hosting some other customer's app on cloud (one of most used), lost Entire Hard Disk (the virtual) and entire module in first 6 months. Second provider said its your duty to take backup, fine I agree, but no provider gives SLA for data guarantee, they give 99% uptime. However in most business apps, uptime is less important then data integrity. In our 10 years of dedicated hosting experience we had only one hard disk crash. This makes me little skeptical to go for cloud and loosing control over data. And I feel its just a big marketing buzz to sell virtulization in different form. Size of data, currently all providers charge very heavy for large data, if you are hosting only below 100GB cloud can be good alternative, but I think virtual servers and dedicated servers above 100GB to few TBs are still cheaper. Why would want to pay so high on cloud when there is no data guarentee as well as it doesnt say anything about redundancy. (I wish SO had something for spell check for Internet Explorer, sorry for wrong spellings in my post)

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  • Oracle Exadata???????????????????

    - by takashi.hitomi
    2010?6????????????????????Oracle Exadata??????????????! ???????Oracle Exadata?????? ?????????2010 ???????????????????????????????????????????????????? ??????????????????????????????????????????????????????????????????????????????????? Oracle?Smart Grid????????Oracle Exadata??????????????????????????? ?21? ??·?????????? ????????????????? ????????????????????????????????????????????????????????????·?·????????????????????????????????????????????? ?????????????????????????????????????????????????????? ????????Oracle Exadata?????????????Oracle Database????????·?????????????? ?????????Update?Get?? Oracle Cloud Computing Summit ~ Database & Exadata Day ~ Oracle Cloud Computing Summit??????1? ????·??????????Oracle????????????????????????? ?????????·?????????????????????????????????·??????????????????????????????????????

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  • What happens if an OpenStack cloud controller dies?

    - by magu
    I've been reading up on OpenStack and how we can re-create an EC2/S3-style cloud for our internal development and I'm having a hard time finding information on how the OpenStack cloud controller provides redundancy of the cloud management services. I know I can setup multiple Swift and Nova nodes, but not a single document/article/howto/wiki contains information on: a) what happens if the cloud controller node dies; and b) how to setup redundant cloud controllers. It seems to me that, although it is massively scalable, there is a big single-point-of-failure built into OpenStack. Can anyone with more experience on OpenStack please shed some light as to how it all works in regards to high-availability?

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  • what do you use for storage discovery / storage management?

    - by lysdexic
    I am looking for some ideas on what would be the best way to discover and manage network storage. Discovery: Any good tools that will scan hosts and storage devices and report back their findings? Maybe using SNMP or WMI? Management: I'm currently looking at Storage Manager by Solar Winds, but it is a bit pricey. Any good open source projects like this? Just looking for ideas of how to get better visibility into the storage infrastructure on this network. It includes a HP Lefthand Iscsi san and EC VNX san. As well as individual hosts with local storage. Thanks for reading and thanks for any input.

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  • Azure - Part 4 - Table Storage Service in Windows Azure

    - by Shaun
    In Windows Azure platform there are 3 storage we can use to save our data on the cloud. They are the Table, Blob and Queue. Before the Chinese New Year Microsoft announced that Azure SDK 1.1 had been released and it supports a new type of storage – Drive, which allows us to operate NTFS files on the cloud. I will cover it in the coming few posts but now I would like to talk a bit about the Table Storage.   Concept of Table Storage Service The most common development scenario is to retrieve, create, update and remove data from the data storage. In the normal way we communicate with database. When we attempt to move our application over to the cloud the most common requirement should be have a storage service. Windows Azure provides a in-build service that allow us to storage the structured data, which is called Windows Azure Table Storage Service. The data stored in the table service are like the collection of entities. And the entities are similar to rows or records in the tradtional database. An entity should had a partition key, a row key, a timestamp and set of properties. You can treat the partition key as a group name, the row key as a primary key and the timestamp as the identifer for solving the concurrency problem. Different with a table in a database, the table service does not enforce the schema for tables, which means you can have 2 entities in the same table with different property sets. The partition key is being used for the load balance of the Azure OS and the group entity transaction. As you know in the cloud you will never know which machine is hosting your application and your data. It could be moving based on the transaction weight and the number of the requests. If the Azure OS found that there are many requests connect to your Book entities with the partition key equals “Novel” it will move them to another idle machine to increase the performance. So when choosing the partition key for your entities you need to make sure they indecate the category or gourp information so that the Azure OS can perform the load balance as you wish.   Consuming the Table Although the table service looks like a database, you cannot access it through the way you are using now, neither ADO.NET nor ODBC. The table service exposed itself by ADO.NET Data Service protocol, which allows you can consume it through the RESTful style by Http requests. The Azure SDK provides a sets of classes for us to connect it. There are 2 classes we might need: TableServiceContext and TableServiceEntity. The TableServiceContext inherited from the DataServiceContext, which represents the runtime context of the ADO.NET data service. It provides 4 methods mainly used by us: CreateQuery: It will create a IQueryable instance from a given type of entity. AddObject: Add the specified entity into Table Service. UpdateObject: Update an existing entity in the Table Service. DeleteObject: Delete an entity from the Table Service. Beofre you operate the table service you need to provide the valid account information. It’s something like the connect string of the database but with your account name and the account key when you created the storage service on the Windows Azure Development Portal. After getting the CloudStorageAccount you can create the CloudTableClient instance which provides a set of methods for using the table service. A very useful method would be CreateTableIfNotExist. It will create the table container for you if it’s not exsited. And then you can operate the eneities to that table through the methods I mentioned above. Let me explain a bit more through an exmaple. We always like code rather than sentence.   Straightforward Accessing to the Table Here I would like to build a WCF service on the Windows Azure platform, and for now just one requirement: it would allow the client to create an account entity on the table service. The WCF service would have a method named Register and accept an instance of the account which the client wants to create. After perform some validation it will add the entity into the table service. So the first thing I should do is to create a Cloud Application on my VIstial Studio 2010 RC. (The Azure SDK 1.1 only supports VS2008 and VS2010 RC.) The solution should be like this below. Then I added a configuration items for the storage account through the Settings section under the cloud project. (Double click the Services file under Roles folder and navigate to the Setting section.) This setting will be used when to retrieve my storage account information. Since for now I just in the development phase I will select “UseDevelopmentStorage=true”. And then I navigated to the WebRole.cs file under my WCF project. If you have read my previous posts you would know that this file defines the process when the application start, and terminate on the cloud. What I need to do is to when the application start, set the configuration publisher to load my config file with the config name I specified. So the code would be like below. I removed the original service and contract created by the VS template and add my IAccountService contract and its implementation class - AccountService. And I add the service method Register with the parameters: email, password and it will return a boolean value to indicates the result which is very simple. At this moment if I press F5 the application will be established on my local development fabric and I can see my service runs well through the browser. Let’s implement the service method Rigister, add a new entity to the table service. As I said before the entities you want to store in the table service must have 3 properties: partition key, row key and timespan. You can create a class with these 3 properties. The Azure SDK provides us a base class for that named TableServiceEntity in Microsoft.WindowsAzure.StorageClient namespace. So what we need to do is more simply, create a class named Account and let it derived from the TableServiceEntity. And I need to add my own properties: Email, Password, DateCreated and DateDeleted. The DateDeleted is a nullable date time value to indecate whether this entity had been deleted and when. Do you notice that I missed something here? Yes it’s the partition key and row key I didn’t assigned. The TableServiceEntity base class defined 2 constructors one was a parameter-less constructor which will be used to fill values into the properties from the table service when retrieving data. The other was one with 2 parameters: partition key and row key. As I said below the partition key may affect the load balance and the row key must be unique so here I would like to use the email as the parition key and the email plus a Guid as the row key. OK now we finished the entity class we need to store onto the table service. The next step is to create a data access class for us to add it. Azure SDK gives us a base class for it named TableServiceContext as I mentioned below. So let’s create a class for operate the Account entities. The TableServiceContext need the storage account information for its constructor. It’s the combination of the storage service URI that we will create on Windows Azure platform, and the relevant account name and key. The TableServiceContext will use this information to find the related address and verify the account to operate the storage entities. Hence in my AccountDataContext class I need to override this constructor and pass the storage account into it. All entities will be saved in the table storage with one or many tables which we call them “table containers”. Before we operate an entity we need to make sure that the table container had been created on the storage. There’s a method we can use for that: CloudTableClient.CreateTableIfNotExist. So in the constructor I will perform it firstly to make sure all method will be invoked after the table had been created. Notice that I passed the storage account enpoint URI and the credentials to specify where my storage is located and who am I. Another advise is that, make your entity class name as the same as the table name when create the table. It will increase the performance when you operate it over the cloud especially querying. Since the Register WCF method will add a new account into the table service, here I will create a relevant method to add the account entity. Before implement, I should add a reference - System.Data.Services.Client to the project. This reference provides some common method within the ADO.NET Data Service which can be used in the Windows Azure Table Service. I will use its AddObject method to create my account entity. Since the table service are not fully implemented the ADO.NET Data Service, there are some methods in the System.Data.Services.Client that TableServiceContext doesn’t support, such as AddLinks, etc. Then I implemented the serivce method to add the account entity through the AccountDataContext. You can see in the service implmentation I load the storage account information through my configuration file and created the account table entity from the parameters. Then I created the AccountDataContext. If it’s my first time to invoke this method the constructor of the AccountDataContext will create a table container for me. Then I use Add method to add the account entity into the table. Next, let’s create a farely simple client application to test this service. I created a windows console application and added a service reference to my WCF service. The metadata information of the WCF service cannot be retrieved if it’s deployed on the Windows Azure even though the <serviceMetadata httpGetEnabled="true"/> had been set. If we need to get its metadata we can deploy it on the local development service and then changed the endpoint to the address which is on the cloud. In the client side app.config file I specified the endpoint to the local development fabric address. And the just implement the client to let me input an email and a password then invoke the WCF service to add my acocunt. Let’s run my application and see the result. Of course it should return TRUE to me. And in the local SQL Express I can see the data had been saved in the table.   Summary In this post I explained more about the Windows Azure Table Storage Service. I also created a small application for demostration of how to connect and consume it through the ADO.NET Data Service Managed Library provided within the Azure SDK. I only show how to create an eneity in the storage service. In the next post I would like to explain about how to query the entities with conditions thruogh LINQ. I also would like to refactor my AccountDataContext class to make it dyamic for any kinds of entities.   Hope this helps, Shaun   All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • 4th International SOA Symposium + 3rd International Cloud Symposium by Thomas Erl - call for presentations

    - by Jürgen Kress
    At the last SOA & Cloud Symposium by Thomas Erl the SOA Partner Community had a great present. The next conference takes place April 2011 in Brazil, make sure you submit your papers. The International SOA and Cloud Symposium brings together lessons learned and emerging topics from SOA and Cloud projects, practitioners and experts. The two-day conference agenda will be organized into the following primary tracks: SOA Architecture & Design SOA & BPM Real World SOA Case Studies SOA & Cloud Security Real World Cloud Computing Case Studies REST & Service-Orientation BPM, BPMN & Service-Orientation Business of SOA SOA & Cloud: Infrastructure & Architecture Business of Cloud Computing Presentation Submissions The SOA and Cloud Symposium 2010 program committees invite submissions on all topics related to SOA and Cloud, including but not limited to those listed in the preceding track descriptions. While contributions from consultants and vendors are appreciated, product demonstrations or vendor showcases will not be accepted. All contributions must be accompanied with a biography that describes the SOA or Cloud Computing related experience of the presenter(s). Presentation proposals should be submitted by filling out the speaker form and sending the completed form to [email protected]. All submissions must be received no later than January 31, 2010. To download the speaker form, please click here. Specially we are looking for Oracle SOA Suite and BPM Suite Case Studies! For additional call for papers please visit our SOA Community Wiki.   For more information on SOA Specialization and the SOA Partner Community please feel free to register at www.oracle.com/goto/emea/soa (OPN account required) Blog Twitter LinkedIn Mix Forum Wiki Website Technorati Tags: SOA Symposium,Cloud Symposium,Thomas Erl,SOA,SOA Suite,Oracle,Call for papers,OPN,BPM,Jürgen Kress

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  • Boost your infrastructure with Coherence into the Cloud

    - by Nino Guarnacci
    Authors: Nino Guarnacci & Francesco Scarano,  at this URL could be found the original article:  http://blogs.oracle.com/slc/coherence_into_the_cloud_boost. Thinking about the enterprise cloud, come to mind many possible configurations and new opportunities in enterprise environments. Various customers needs that serve as guides to this new trend are often very different, but almost always united by two main objectives: Elasticity of infrastructure both Hardware and Software Investments related to the progressive needs of the current infrastructure Characteristics of innovation and economy. A concrete use case that I worked on recently demanded the fulfillment of two basic requirements of economy and innovation.The client had the need to manage a variety of data cache, which can process complex queries and parallel computational operations, maintaining the caches in a consistent state on different server instances, on which the application was installed.In addition, the customer was looking for a solution that would allow him to manage the likely situations in load peak during certain times of the year.For this reason, the customer requires a replication site, on which convey part of the requests during periods of peak; the desire was, however, to prevent the immobilization of investments in owned hardware-software architectures; so, to respond to this need, it was requested to seek a solution based on Cloud technologies and architectures already offered by the market. Coherence can already now address the requirements of large cache between different nodes in the cluster, providing further technology to search and parallel computing, with the simultaneous use of all hardware infrastructure resources. Moreover, thanks to the functionality of "Push Replication", which can replicate and update the information contained in the cache, even to a site hosted in the cloud, it is satisfied the need to make resilient infrastructure that can be based also on nodes temporarily housed in the Cloud architectures. There are different types of configurations that can be realized using the functionality "Push-Replication" of Coherence. Configurations can be either: Active - Passive  Hub and Spoke Active - Active Multi Master Centralized Replication Whereas the architecture of this particular project consists of two sites (Site 1 and Site Cloud), between which only Site 1 is enabled to write into the cache, it was decided to adopt an Active-Passive Configuration type (Hub and Spoke). If, however, the requirement should change over time, it will be particularly easy to change this configuration in an Active-Active configuration type. Although very simple, the small sample in this post, inspired by the specific project is effective, to better understand the features and capabilities of Coherence and its configurations. Let's create two distinct coherence cluster, located at miles apart, on two different domain contexts, one of them "hosted" at home (on-premise) and the other one hosted by any cloud provider on the network (or just the same laptop to test it :)). These two clusters, which we call Site 1 and Site Cloud, will contain the necessary information, so a simple client can insert data only into the Site 1. On both sites will be subscribed a listener, who listens to the variations of specific objects within the various caches. To implement these features, you need 4 simple classes: CachedResponse.java Represents the POJO class that will be inserted into the cache, and fulfills the task of containing useful information about the hypothetical links navigation ResponseSimulatorHelper.java Represents a link simulator, which has the task of randomly creating objects of type CachedResponse that will be added into the caches CacheCommands.java Represents the model of our example, because it is responsible for receiving instructions from the controller and performing basic operations against the cache, such as insert, delete, update, listening, objects within the cache Shell.java It is our controller, which give commands to be executed within the cache of the two Sites So, summarily, we execute the java class "Shell", asking it to put into the cache 100 objects of type "CachedResponse" through the java class "CacheCommands", then the simulator "ResponseSimulatorHelper" will randomly create new instances of objects "CachedResponse ". Finally, the Shell class will listen to for events occurring within the cache on the Site Cloud, while insertions and deletions are performed on Site 1. Now, we realize the two configurations of two respective sites / cluster: Site 1 and Site Cloud.For the Site 1 we define a cache of type "distributed" with features of "read and write", using the cache class store for the "push replication", a functionality offered by the project "incubator" of Oracle Coherence.For the "Site Cloud" we expect even the definition of “distributed” cache type with tcp proxy feature enabled, so it can receive updates from Site 1.  Coherence Cache Config XML file for "storage node" on "Site 1" site1-prod-cache-config.xml Coherence Cache Config XML file for "storage node" on "Site Cloud" site2-prod-cache-config.xml For two clients "Shell" which will connect respectively to the two clusters we have provided two easy access configurations.  Coherence Cache Config XML file for Shell on "Site 1" site1-shell-prod-cache-config.xml Coherence Cache Config XML file for Shell on "Site Cloud" site2-shell-prod-cache-config.xml Now, we just have to get everything and run our tests. To start at least one "storage" node (which holds the data) for the "Cloud Site", we can run the standard class  provided OOTB by Oracle Coherence com.tangosol.net.DefaultCacheServer with the following parameters and values:-Xmx128m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.cacheconfig=config/site2-prod-cache-config.xml-Dtangosol.coherence.clusterport=9002-Dtangosol.coherence.site=SiteCloud To start at least one "storage" node (which holds the data) for the "Site 1", we can perform again the standard class provided by Coherence  com.tangosol.net.DefaultCacheServer with the following parameters and values:-Xmx128m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.cacheconfig=config/site1-prod-cache-config.xml-Dtangosol.coherence.clusterport=9001-Dtangosol.coherence.site=Site1 Then, we start the first client "Shell" for the "Cloud Site", launching the java class it.javac.Shell  using these parameters and values: -Xmx64m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=false -Dtangosol.coherence.cacheconfig=config/site2-shell-prod-cache-config.xml-Dtangosol.coherence.clusterport=9002-Dtangosol.coherence.site=SiteCloud Finally, we start the second client "Shell" for the "Site 1", re-launching a new instance of class  it.javac.Shell  using  the following parameters and values: -Xmx64m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=false -Dtangosol.coherence.cacheconfig=config/site1-shell-prod-cache-config.xml-Dtangosol.coherence.clusterport=9001-Dtangosol.coherence.site=Site1  And now, let’s execute some tests to validate and better understand our configuration. TEST 1The purpose of this test is to load the objects into the "Site 1" cache and seeing how many objects are cached on the "Site Cloud". Within the "Shell" launched with parameters to access the "Site 1", let’s write and run the command: load test/100 Within the "Shell" launched with parameters to access the "Site Cloud" let’s write and run the command: size passive-cache Expected result If all is OK, the first "Shell" has uploaded 100 objects into a cache named "test"; consequently the "push-replication" functionality has updated the "Site Cloud" by sending the 100 objects to the second cluster where they will have been posted into a respective cache, which we named "passive-cache". TEST 2The purpose of this test is to listen to deleting and adding events happening on the "Site 1" and that are replicated within the cache on "Cloud Site". In the "Shell" launched with parameters to access the "Site Cloud" let’s write and run the command: listen passive-cache/name like '%' or a "cohql" query, with your preferred parameters In the "Shell" launched with parameters to access the "Site 1" let’s write and run the following commands: load test/10 load test2/20 delete test/50 Expected result If all is OK, the "Shell" to Site Cloud let us to listen to all the add and delete events within the cache "cache-passive", whose objects satisfy the query condition "name like '%' " (ie, every objects in the cache; you could change the tests and create different queries).Through the Shell to "Site 1" we launched the commands to add and to delete objects on different caches (test and test2). With the "Shell" running on "Site Cloud" we got the evidence (displayed or printed, or in a log file) that its cache has been filled with events and related objects generated by commands executed from the" Shell "on" Site 1 ", thanks to "push-replication" feature.  Other tests can be performed, such as, for example, the subscription to the events on the "Site 1" too, using different "cohql" queries, changing the cache configuration,  to effectively demonstrate both the potentiality and  the versatility produced by these different configurations, even in the cloud, as in our case. More information on how to configure Coherence "Push Replication" can be found in the Oracle Coherence Incubator project documentation at the following link: http://coherence.oracle.com/display/INC10/Home More information on Oracle Coherence "In Memory Data Grid" can be found at the following link: http://www.oracle.com/technetwork/middleware/coherence/overview/index.html To download and execute the whole sources and configurations of the example explained in the above post,  click here to download them; After download the last available version of the Push-Replication Pattern library implementation from the Oracle Coherence Incubator site, and download also the related and required version of Oracle Coherence. For simplicity the required .jarS to execute the example (that can be found into the Push-Replication-Pattern  download and Coherence Distribution download) are: activemq-core-5.3.1.jar activemq-protobuf-1.0.jar aopalliance-1.0.jar coherence-commandpattern-2.8.4.32329.jar coherence-common-2.2.0.32329.jar coherence-eventdistributionpattern-1.2.0.32329.jar coherence-functorpattern-1.5.4.32329.jar coherence-messagingpattern-2.8.4.32329.jar coherence-processingpattern-1.4.4.32329.jar coherence-pushreplicationpattern-4.0.4.32329.jar coherence-rest.jar coherence.jar commons-logging-1.1.jar commons-logging-api-1.1.jar commons-net-2.0.jar geronimo-j2ee-management_1.0_spec-1.0.jar geronimo-jms_1.1_spec-1.1.1.jar http.jar jackson-all-1.8.1.jar je.jar jersey-core-1.8.jar jersey-json-1.8.jar jersey-server-1.8.jar jl1.0.jar kahadb-5.3.1.jar miglayout-3.6.3.jar org.osgi.core-4.1.0.jar spring-beans-2.5.6.jar spring-context-2.5.6.jar spring-core-2.5.6.jar spring-osgi-core-1.2.1.jar spring-osgi-io-1.2.1.jar At this URL could be found the original article: http://blogs.oracle.com/slc/coherence_into_the_cloud_boost Authors: Nino Guarnacci & Francesco Scarano

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  • Cloud Infrastructure has a new standard

    - by macoracle
    I have been working for more than two years now in the DMTF working group tasked with creating a Cloud Management standard. That work has culminated in the release today of the Cloud Infrastructure Management Interface (CIMI) version 1.0 by the DMTF. CIMI is a single interface that a cloud consumer can use to manage their cloud infrastructure in multiple clouds. As CIMI is adopted by the cloud vendors, no more will you need to adapt client code to each of the proprietary interfaces from these multiple vendors. Unlike a de facto standard where typically one vendor has change control over the interface, and everyone else has to reverse engineer the inner workings of it, CIMI is a de jure standard that is under change control of a standards body. One reason the standard took two years to create is that we factored in use cases, requirements and contributed APIs from multiple vendors. These vendors have products shipping today and as a result CIMI has a strong foundation in real world experience. What does CIMI allow? CIMI is both a model for the resources (computing, storage networking) in the cloud as well as a RESTful protocol binding to HTTP. This means that to create a Machine (guest VM) for example, the client creates a “document” that represents the Machine resource and sends it to the server using HTTP. CIMI allows the resources to be encoded in either JavaScript Object Notation (JSON) or the eXentsible Markup Language (XML). CIMI provides a model for the resources that can be mapped to any existing cloud infrastructure offering on the market. There are some features in CIMI that may not be supported by every cloud, but CIMI also supports the discovery of which features are implemented. This means that you can still have a client that works across multiple clouds and is able to take full advantage of the features in each of them. Isn’t it too early for a standard? A key feature of a successful standard is that it allows for compatible extensions to occur within the core framework of the interface itself. CIMI’s feature discovery (through metadata) is used to convey to the client that additional features that may be vendor specific have been implemented. As multiple vendors implement such features, they become candidates to add the future versions of CIMI. Thus innovation can continue in the cloud space without being slowed down by a lowest common denominator type of specification. Since CIMI was developed in the open by dozens of stakeholders who are already implementing infrastructure clouds, I expect to CIMI being adopted by these same companies and others over the next year or two. Cloud Customers who can see the benefit of this standard should start to ask their cloud vendors to show a CIMI implementation in their roadmap.  For more information on CIMI and the DMTF's other cloud efforts, go to: http://dmtf.org/cloud

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  • Home Server: storage virtualisation, what to choose?

    - by Huygens
    I'm looking for virtualisation solutions for storage and OS for a home server. A sort of private cloud where I manage the storage space independently of the VM one. This question focus on storage management. (I have another question related to the VM/compute instance management). Here my environement and wishes. Server: HP Proliant MicroServer with 8 GB RAM (AMD Turion dual core with AMD-V technology) with 1 250GB system disk and up to 4 HDD (2 TB) for "data" OS types: only Linux (perhaps a *BSD VM in the future) Linux distributions do not matter, I'm familiar with RHEL, Fedora, Suse, Ubuntu, but any other recommandation will be fine The 4 HDD is going to be a software RAID array, probably RAID 5. storage should be "virtualised/cloudified": easy to extend: if I add a NAS on the network, I can include the NAS space capacity within this storage space as one virtual disk. This can be a NAS, an external HDD or another server. cluster FS or S3 style space or OpenStack block storage? Whatever is easier to manage/maintain and easy to integrate/plug to VM/compute instance. I would prefer free (libre, as in a free speach) and open source tools. But it does not have to be free as in a free beer. Note: the VMs I intend to run on top of this server are one dedicated to backup, one for a "owncloud/dropbox"-like service and perhaps one for media server (hosting video and photos). I'm not sure if traditional VMs or compute instance are the most suitable for this.

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  • Industrial strength cloud file storage

    - by ArthurG
    I'm looking for an industrial strength cloud file storage system. It will be used by multiple people in a startup. Our requirements: Transparent file system access: files and folders in the file system must be able transparently access (read and write) files in the cloud; files must be synchronized whenever network access is available and buffered otherwise. The system must be usable by non-technical people. Access control: we need to control who can access which files, at least on a very coarse basis. e.g., the developers will be able to access the system design documents, only the corporate folks can access recruiting documents, and only management can access certain corporate documents. Dropbox provides this via Sharing folders, but that's not adequate, if I understand it correctly, because there's no authentication of the sharing user. so the cloud service should have a notion of an account (our startup) with multiple users with distinct credentials and rights for each user Clients: it must be accessible from Macs and PCs; I would hope that it supports Linux (e.g., Ubuntu) too Security: it must provide robust security Backup: the cloud service must reliably backup the files Versioning: change version history, is a big plus, but not required Not free: we're willing to pay for the service So far, we've reviewed the following, albeit not completely thoroughly: Dropbox: has all except 1) Access control, which is provided via Sharing folders, but that's not adequate, if I understand it correctly, because there's no authentication of the sharing user. and 2) Security, as discussed here http://www.economist.com/blogs/babbage/2011/05/internet_security and here http://blog.dropbox.com/?p=821. Windows Live Mesh, has all except 1) Clients, only supporting Windows 7 and OS X. SpiderOak has all, except 1) Transparent file system access, which is only available for 1 user. Amazon Cloud, doesn't offer 1) Transparent file system access Rackspace Cloud Drive has all except 1) Access control and 2) Versioning I'll gladly include any clarifications or additional systems the community provides. Arthur

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  • Sensitive Data Storage - Best Practices

    - by Kenneth
    I recently started working on a personal project where I was connecting to a database using Java. This got me thinking. I have to provide the login information for a database account on the DB server in order to access the database. But if I hard code it in then it would be possible for someone to decompile the program and extract that login info. If I store it in an external setup file then the same problem exists only it would be even easier for them to get it. I could encrypt the data before storing it in either place but it seems like that's not really a fail safe either and I'm no encryption expert by any means. So what are some best practices for storing sensitive setup data for a program?

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  • On Server Disk Storage VS SAN Storage

    - by Justin
    Hello, I am looking at buying three servers, and trying to figure out which storage solution makes the most sense in terms of performance and cost. Total budget is around: $10,000. OPTION 1: Dell servers with RAID 10 (4 Drives) each 7200RPM SAS 500GB, for a total capacity of 1TB. Each server is approx: $3000. Total storage then across all three servers is 3TB. OPTION 2: Same Dell servers with a cheap single drive no RAID for $2000 and go with a centralized SAN solution. The biggest problem is that I haven't been able to even find a SAN solution that is a reasonable price. Dell entry level storage servers are like $15,000. I am thinking just iSCSI, not fiber (too expensive). What do you guys recommend?

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