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  • Deploying and hosting scala in the cloud?

    - by TiansHUo
    I am starting a web app considering scalability as one of the top priorities. What would be the benefits of this: cassandra scala lift vs the traditional LAMP on the cloud? Since from what I've read, please correct me, the cloud itself is scalable I have never seen anyone deploy scala on the cloud before. Is it worth the effort to learn the platform? Is it ready for production use?

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  • Cloud computing?

    - by Suraj
    I'm writing a report advising on future technologies that a manufacturing company could use. I've highlighted a number of advanced manufacturing technologies such as CAD etc. However, I want to bring cloud computing into the report just to score some extra points. I am not sure how one would bring together cloud computing with the advanced technologies though. Basically what would be the process of integrating these technologies into a cloud computing "environment"? Say the organisation buys a CAD package, how could they make use of cloud computing here?

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  • Cloud – the forecast is improving

    - by Rob Farley
    There is a lot of discussion about “the cloud”, and how that affects people’s data stories. Today the discussion enters the realm of T-SQL Tuesday, hosted this month by Jorge Segarra. Over the years, companies have invested a lot in making sure that their data is good, and I mean every aspect of it – the quality of it, the security of it, the performance of it, and more. Experts such as those of us at LobsterPot Solutions have helped these companies with this, and continue to work with clients to make sure that data is a strong part of their business, not an oversight. Whether business intelligence systems are being utilised or not, every business needs to be able to rely on its data, and have the confidence in it. Data should be a foundation upon which a business is built. In the past, data had been stored in paper-based systems. Filing cabinets stored vital information. Today, people have server rooms with storage of various kinds, recognising that filing cabinets don’t necessarily scale particularly well. It’s easy to ‘lose’ data in a filing cabinet, when you have people who need to make sure that the sheets of paper are in the right spot, and that you know how things are stored. Databases help solve that problem, but still the idea of a large filing cabinet continues, it just doesn’t involve paper. If something happens to the physical ‘filing cabinet’, then the problems are larger still. Then the data itself is under threat. Many clients have generators in case the power goes out, redundant cables in case the connectivity dies, and spare servers in other buildings just in case they’re required. But still they’re maintaining filing cabinets. You see, people like filing cabinets. There’s something to be said for having your data ‘close’. Even if the data is not in readable form, living as bits on a disk somewhere, the idea that its home is ‘in the building’ is comforting to many people. They simply don’t want to move their data anywhere else. The cloud offers an alternative to this, and the human element is an obstacle. By leveraging the cloud, companies can have someone else look after their filing cabinet. A lot of people really don’t like the idea of this, partly because the administrators of the data, those people who could potentially log in with escalated rights and see more than they should be allowed to, who need to be trusted to respond if there’s a problem, are now a faceless entity in the cloud. But this doesn’t mean that the cloud is bad – this is simply a concern that some people may have. In new functionality that’s on its way, we see other hybrid mechanisms that mean that people can leverage parts of the cloud with less fear. Companies can use cloud storage to hold their backup data, for example, backups that have been encrypted and are therefore not able to be read by anyone (including administrators) who don’t have the right password. Companies can have a database instance that runs locally, but which has its data files in the cloud, complete with Transparent Data Encryption if needed. There can be a higher level of control, making the change easier to accept. Hybrid options allow people who have had fears (potentially very justifiable) to take a new look at the cloud, and to start embracing some of the benefits of the cloud (such as letting someone else take care of storage, high availability, and more) without losing the feeling of the data being close. @rob_farley

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  • Are there any portable Cloud APIs that allow you to easily change cloud hosts?

    - by MindJuice
    I am creating a web-based RESTful service and want to cloud-enable it for scalability. I don't want to get locked into one cloud provider though. I'd like to be able to switched between Go Grid or Amazon EC2, etc. as pricing and needs evolve. Is there a common API to control the launch, monitoring and shutdown of cloud resources? I've seen Right Scale, but their pricing is just from another planet. Similarly, is there a common API for cloud storage?

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  • Private cloud solution [Eucalyptus,OpenStack, Nimbus] for Java deployments [Glassfish, Tomcat]

    - by Tadas D.
    I am interested in a way to have private cloud which would host Glassfish (or Tomcat) server. Which option from Eucalyptus, Openstack or Nimbus would be best to deploy java applications on it? Or maybe there is something other and I am looking wrong at the problem? The way I imagine this, that I should have some shared storage that I could expand by introducing new nodes to this cluster and have easy management for glassfish instances: something like virtual machines images that I can start and stop on demand and that image is shared among nodes. I don't need concrete step-by-step solution here but guidelines how this should be done are very welcome.

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  • Cloud Computing - Multiple Physical Computers, One Logical Computer

    - by Koobz
    I know that you can set up multiple virtual machines per physical computer. I'm wondering if it's possible to make multiple physical computers behave as one logical unit? Fundamentally the way I imagine it working is that you can throw 10 computers into a facility one day. You've got one client that requires the equivalent of two computers worth, and 100 others that eat up the remaining 8. As demands change you're just reallocating logical resources, maybe the 2 computer client now requires a third physical system. You just add it to the cloud, and don't worry about sharding the database, or migrating data over to a new server. Can it work this way? If yes, why would anyone ever do things like partition their database servers anymore? Just add more computing resources. You scale horizontally with the hardware, but your server appears to scale vertically. There's no need to modify your application's infrastructure to support multiple databases etc.

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  • Cloud Computing - Multiple Physical Computers, One Logical Computer

    - by bundini
    I know that you can set up multiple virtual machines per physical computer. I'm wondering if it's possible to make multiple physical computers behave as one logical unit? Fundamentally the way I imagine it working is that you can throw 10 computers into a facility one day. You've got one client that requires the equivalent of two computers worth, and 100 others that eat up the remaining 8. As demands change you're just reallocating logical resources, maybe the 2 computer client now requires a third physical system. You just add it to the cloud, and don't worry about sharding the database, or migrating data over to a new server. Can it work this way? If yes, why would anyone ever do things like hand partition their database servers anymore? Just add more computing resources. You scale horizontally with the hardware, but your server appears to scale vertically. There's no need to modify your application's supporting infrastructure to support multiple databases etc.

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  • How to put 1000 lightweight server applications in the cloud

    - by Dan Bird
    The company I work for sells a commercial desktop/server app that runs on any non dedicated Windows PC or server and uses Tomcat for all interactions with the application. Customers are asking that we host their instance of the application so they don't have to run it locally on their own servers. The app is lightweight and an average server, in theory, could handle 25-50 instances before users would notice a slowdown. However only 1 instance can run per Windows instance (because the application writes to a common registry branch) so we'd need something like VMWare to create 25-50 Windows instances. We know we eventually need to reprogram to make it truly cloud-worthy but what would you recommend for a server farm or whatever for this? We don't have the setup to purchase our own servers so we must use a 3rd party. We have budgeted $500 - $1000 per year per customer for this service. Thanks in advance for your suggestions, experiences and guidance.

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  • Setting up scripts in Amazon EC2 Cloud

    - by racket99
    Hello, I am currently running a few perl and python scripts on a windows pc and would like to port over to the Amazon EC2 servers running 64-bit LINUX. The scripts are basic web scrapers that go to a variety of websites, get data and then save daily as csv files. I would like to install these in the cloud and get them running in an automated way so that they will run without my intervention. Also given that I don't want to lose all the data if the instance crashes, I should also upload the csv files to Amazon S3. Any idea how I can do this? I am not terribly versed in LINUX nor do I know Perl/Python well. What is the best way for me to tackle thi

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  • Setup local EC2 style cloud?

    - by John Kramlich
    I was recently given 3 dual opteron 2400 servers with 4GB of RAM and 120GB hard drives. I am interested in setting up something similar to Amazon's EC2 for my own personal web development use. Basically, I would like to spin up instances from an ISO or other disk images and have them available to test and develop software. Are there open source solutions I can use to accomplish this? I am assuming one of the machines will need to act as a controller of some sort for the other two. I use Sun's VirtualBox on my local development machine to virtualize various versions of Microsoft Windows. However, I'm not sure if that's the best tool for what I am trying to achieve. I apologize in advance if this question is to vague to get meaningful responses. I am new to cloud computing and fairly new at server administration.

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  • The king is dead, long live the king&ndash;Cloud Evening 15th Feb in London

    - by Eric Nelson
    Advert alert :-) The UK's only Cloud user group The Cloud is the hot topic. You can’t escape hearing about it everywhere you go. Cloud Evening is the UK’s only cloud-focussed user group. Cloud Evening replaces UKAzureNet, with a new objective to cover all aspects of Cloud Computing, across all platforms, technologies and providers. We want to create a community for developers and architects to come together, learn, share stories and share experiences. Each event we’ll bring you two speakers talking about what’s hot in the world of Cloud. Our first event was a great success and we're now having the second exciting instalment. We're covering running third party applications on Azure and federated identity management. We will, of course, keep you fed and watered with beer and pizza. Spaces are limited so please sign-up now! Agenda 6.00pm – Registration 6.30pm – Windows Azure and running third-party software - using Elevated Privileges, Full IIS or VM Roles  (by @MarkRendle): We all know how simple it is to run your own applications on Azure, but how about existing software? Using the RavenDB document database software as an example, Mark will look at three ways to get 3rd-party software running on Azure, including the use of Start-up Tasks, Full IIS support and VM Roles, with a discussion of the pros and cons of each approach. 7.30pm – Beer and Pizza. 8.00pm – Federated identity – integrating Active Directory with Azure-based apps and Office 365  (by Steve Plank): Steve will cover off how to write great applications which leverage your existing on-premises Active Directory, along with providing seamless access to Office 365. We hope you can join us for what looks set to be a great evening. Register now

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  • New Book: Oracle Exalogic Elastic Cloud Handbook

    - by user12608550
    Oracle Exalogic Elastic Cloud Handbook, by Tom Plunkett, TJ Palazzolo, and Tejas Joshi, Oracle Press. The well-known characteristics and tiers of cloud computing have spawned myriad implementations by a host of vendors and system integrators. One of these, Oracle's Exalogic Elastic Cloud, part of Oracle's family of Engineered Systems, is a key component of Oracle's public and private cloud computing solutions, providing critical PaaS (Platform as a Service) features for cloud developers. These developers need guidance to take advantage of Exalogic's extensive capabilities, and the Oracle Exalogic Elastic Cloud Handbook, written by three highly experienced Oracle technologists, provides that guidance. Part One of the book covers Exalogic's hardware and software components, and includes a very useful chapter on deployment examples, describing best practices for scalabiity, availability, backup and recovery, and multi-tenant security, including integration with other Oracle Engineered Systems and products such as Exadata and storage subsystems. Part Two is a thorough guide to Exalogic installation features, configuration and monitoring, packaged application software management, and scalable application development. The book also provides an extensive list of online resources, including pointers to Web sites, whitepapers, instructional videos, and other Oracle documentation. So, if you're planning to implement Exalogic as part of your cloud infrastructure, or are considering such, you'll find lots of sage advice and best practices in this handbook.

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  • Is There a Cloud Over OpenWorld?

    - by Tony Berk
    If you have been to OpenWorld in the past, you know it can be overwhelming or at least a bit "large." If this is your first time at OpenWorld, get ready! You are in for a big (or I should say HUGE) treat. The first thing you'll notice when you get to San Francisco is there are a lot of people, buses with "Oracle" posters, large exhibit halls filled with demos, games and tchotchkes from vendors with hot new solutions, and then there are the sessions. Yes, in fact there are over 2000 sessions. How can you possibly sort through 2000 sessions to find the best 20 or so for you? Which are the 1% for you? We will try to help with some insight over the next few weeks.  I'm going start at the highest level. Up in the Clouds! Since I know many people are looking for an update on The Oracle Cloud. We will drill down into the cloud and other topics for CRM and Customer Experience sessions in the next set of posts. Below is a list of some of the Oracle executive keynotes during OpenWorld highlighting The Oracle Cloud and applications related topics (the full list is here). In these sessions you will get details on Oracle's strategy and how Oracle is changing the industry to help our customers be more efficient, effective and innovative. Sunday, September 30 6:00pm - 7:00pm Larry Ellison: Hardware and Software, Engineered to Work Together: Why it's a Different Approach Tuesday, October 2 8:45am - 9:45am Thomas Kurian: The Oracle Cloud: Oracle's Cloud Platform and Application's Strategy Tuesday, October 2 3:30pm - 4:30pm Larry Ellison: The Oracle Cloud: Where Social is Built in Thursday, October 4 9:45am - 10:45am Mark Hurd: See More, Act Faster: Oracle Business Analytics We encourage you to also join the keynotes on the Oracle Database and Cloud Infrastructure and the fascinating partner keynotes, as well. Check the full list on the OpenWorld site. Oh, if you haven't registered yet, what are you waiting for? OpenWorld Registration Details.

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  • Remote Debug Windows Azure Cloud Service

    - by Shaun
    Originally posted on: http://geekswithblogs.net/shaunxu/archive/2013/11/02/remote-debug-windows-azure-cloud-service.aspxOn the 22nd of October Microsoft Announced the new Windows Azure SDK 2.2. It introduced a lot of cool features but one of it shocked most, which is the remote debug support for Windows Azure Cloud Service (a.k.a. WACS).   Live Debug is Nightmare for Cloud Application When we are developing against public cloud, debug might be the most difficult task, especially after the application had been deployed. In order to minimize the debug effort, Microsoft provided local emulator for cloud service and storage once the Windows Azure platform was announced. By using local emulator developers could be able run their application on local machine with almost the same behavior as running on Windows Azure, and that could be debug easily and quickly. But when we deployed our application to Azure, we have to use log, diagnostic monitor to debug, which is very low efficient. Visual Studio 2012 introduced a new feature named "anonymous remote debug" which allows any workstation under any user could be able to attach the remote process. This is less secure comparing the authenticated remote debug but much easier and simpler to use. Now in Windows Azure SDK 2.2, we could be able to attach our application from our local machine to Windows Azure, and it's very easy.   How to Use Remote Debugger First, let's create a new Windows Azure Cloud Project in Visual Studio and selected ASP.NET Web Role. Then create an ASP.NET WebForm application. Then right click on the cloud project and select "publish". In the publish dialog we need to make sure the application will be built in debug mode, since .NET assembly cannot be debugged in release mode. I enabled Remote Desktop as I will log into the virtual machine later in this post. It's NOT necessary for remote debug. And selected "advanced settings" tab, make sure we checked "Enable Remote Debugger for all roles". In WACS, a cloud service could be able to have one or more roles and each role could be able to have one or more instances. The remote debugger will be enabled for all roles and all instances if we checked. Currently there's no way for us to specify which role(s) and which instance(s) to enable. Finally click "publish" button. In the windows azure activity window in Visual Studio we can find some information about remote debugger. To attache remote process would be easy. Open the "server explorer" window in Visual Studio and expand "cloud services" node, find the cloud service, role and instance we had just published and wanted to debug, right click on the instance and select "attach debugger". Then after a while (it's based on how fast our Internet connect to Windows Azure Data Center) the Visual Studio will be switched to debug mode. Let's add a breakpoint in the default web page's form load function and refresh the page in browser to see what's happen. We can see that the our application was stopped at the breakpoint. The call stack, watch features are all available to use. Now let's hit F5 to continue the step, then back to the browser we will find the page was rendered successfully.   What Under the Hood Remote debugger is a WACS plugin. When we checked the "enable remote debugger" in the publish dialog, Visual Studio will add two cloud configuration settings in the CSCFG file. Since they were appended when deployment, we cannot find in our project's CSCFG file. But if we opened the publish package we could find as below. At the same time, Visual Studio will generate a certificate and included into the package for remote debugger. If we went to the azure management portal we will find there will a certificate under our application which was created, uploaded by remote debugger plugin. Since I enabled Remote Desktop there will be two certificates in the screenshot below. The other one is for remote debugger. When our application was deployed, windows azure system will open related ports for remote debugger. As below you can see there are two new ports opened on my application. Finally, in our WACS virtual machine, windows azure system will copy the remote debug component based on which version of Visual Studio we are using and start. Our application then can be debugged remotely through the visual studio remote debugger. Below is the task manager on the virtual machine of my WACS application.   Summary In this post I demonstrated one of the feature introduced in Windows Azure SDK 2.2, which is Remote Debugger. It allows us to attach our application from local machine to windows azure virtual machine once it had been deployed. Remote debugger is powerful and easy to use, but it brings more security risk. And since it's only available for debug build this means the performance will be worse than release build. Hence we should only use this feature for staging test and bug fix (publish our beta version to azure staging slot), rather than for production.   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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  • Financial Management: Why Move to the Cloud?

    - by Kathryn Perry
    A guest post by Terrance Wampler, Vice President, Financials Product Strategy, Oracle I’ve spent my career designing and developing financial management systems, most of it at Oracle. Every single day I either meet with our customers or talk to them on the phone. The time is usually spent discussing various business challenges facing CFOs and Controllers, who are running Oracle’s Financials. Lately, we’ve been talking a lot about cloud computing and whether it makes sense for finance to go to the cloud. Here are some pros and cons that might help you make that decision. Let’s start with the benefits of cloud solutions. The first is savings. With cloud services, you pay only for those commodities that you use. That makes you feel like you're getting better value for your money. Plus, you can preserve your cash for your core business and you can get a better matching of expenses and revenues. So, at the top of the list is lower total cost of ownership. The second point has to do with optimization. With cloud services, you’ll need less IT infrastructure so you can optimize your IT resources for better-value, higher-end projects. This also leads to greater financial visibility, where there's a clear cost for the set of services or features replaced by cloud services. And, the last benefit is what I call acceleration. You can save money by speeding up the initialization and deployment of the project. You don't have to deal with IT infrastructure and you can start implementing right away. We did a quick survey of about 70 CFOs at the CFO Summit last month in New York City. We asked them why they were looking at cloud services, and not necessarily just for financials. The No. 1 response was perceived lower cost of ownership. But of course there are risks to consider. The first thing most people think about in the cloud is security and ownership of data. So, will your data really be safe? Can you meet your own privacy policy requirements? Do you really want your private financial data exposed? Do you trust the provider? Is what you see really your data? Do you own it or is it managed by someone else? Security is a big concern that comes with an emotional component. The next thing in the risk category is reliability. Is the provider proven? You’re taking what you have control over – for example, standards and policies and internal service level agreements – away from your IT department and giving it to someone else. Will you still be able to adapt to shifts in your business? Will the provider be able to grow with your business effectively? Reliability means having a provider that can give you the service infrastructure that you need. And then there’s performance, which has two components in terms of risk. Going forward, will the provider be able to scale the infrastructure or service level if you have new employees or new businesses? And second, will the price you negotiate and the rate you lock in cover additional costs and rising service fees? Another piece is cost. What happens if you don't get the service level you want? What if you end the service? What happens, if after a few years, you send the service out for bid and change service? Can you move your data? Can you move the applications? Do the integrations work? These are cost components people don’t always take into account. And, the final piece is the business case. The perception is that you can get started really quickly with cloud. It has a perceived lower cost of total ownership and it feels cool because it's cloud. But do you have a good business case for moving to the cloud? Your total cost of ownership is over three years; then you’ll renew it, so your TCO is six years. Have you compared that to other internal services that you’re offering? You might already have product that you can run this new business or division on. In that same survey at the CFO Summit, the execs thought the biggest perceived risks were security of data, ability to move data back, and the ability to create a business case to actually justify the risks. So that’s the list of pros and cons. Not to leave you hanging, I will do another post on how to balance these pros and cons and make the right decision for your business.

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  • Part 1 - Load Testing In The Cloud

    - by Tarun Arora
    Azure is fascinating, but even more fascinating is the marriage of Azure and TFS! Introduction Recently a client I worked for had 2 major business critical applications being delivered, with very little time budgeted for Performance testing, we immediately hit a bottleneck when the performance testing phase started, the in house infrastructure team could not support the hardware requirements in the short notice. It was suggested that the performance testing be performed on one of the QA environments which was a fraction of the production environment. This didn’t seem right, the team decided to turn to the cloud. The team took advantage of the elasticity offered by Azure, starting with a single test agent which was provisioned and ready for use with in 30 minutes the team scaled up to 17 test agents to perform a very comprehensive performance testing cycle. Issues were identified and resolved but the highlight was that the cost of running the ‘test rig’ proved to be less than if hosted on premise by the infrastructure team. Thank you for taking the time out to read this blog post, in the series of posts, I’ll try and cover the start to end of everything you need to know to use Azure to build your Test Rig in the cloud. But Why Azure? I have my own Data Centre… If the environment is provisioned in your own datacentre, - No matter what level of service agreement you may have with your infrastructure team there will be down time when the environment is patched - How fast can you scale up or down the environments (keeping the enterprise processes in mind) Administration, Cost, Flexibility and Scalability are the areas you would want to think around when taking the decision between your own Data Centre and Azure! How is Microsoft's Public Cloud Offering different from Amazon’s Public Cloud Offering? Microsoft's offering of the Cloud is a hybrid of Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) which distinguishes Microsoft's offering from other providers such as Amazon (Amazon only offers IaaS). PaaS – Platform as a Service IaaS – Infrastructure as a Service Fills the needs of those who want to build and run custom applications as services. Similar to traditional hosting, where a business will use the hosted environment as a logical extension of the on-premises datacentre. A service provider offers a pre-configured, virtualized application server environment to which applications can be deployed by the development staff. Since the service providers manage the hardware (patching, upgrades and so forth), as well as application server uptime, the involvement of IT pros is minimized. On-demand scalability combined with hardware and application server management relieves developers from infrastructure concerns and allows them to focus on building applications. The servers (physical and virtual) are rented on an as-needed basis, and the IT professionals who manage the infrastructure have full control of the software configuration. This kind of flexibility increases the complexity of the IT environment, as customer IT professionals need to maintain the servers as though they are on-premises. The maintenance activities may include patching and upgrades of the OS and the application server, load balancing, failover clustering of database servers, backup and restoration, and any other activities that mitigate the risks of hardware and software failures.   The biggest advantage with PaaS is that you do not have to worry about maintaining the environment, you can focus all your time in solving the business problems with your solution rather than worrying about maintaining the environment. If you decide to use a VM Role on Azure, you are asking for IaaS, more on this later. A nice blog post here on the difference between Saas, PaaS and IaaS. Now that we are convinced why we should be turning to the cloud and why in specific Azure, let’s discuss about the Test Rig. The Load Test Rig – Topology Now the moment of truth, Of course a big part of getting value from cloud computing is identifying the most adequate workloads to take to the cloud, so I’ve decided to try to make a Load Testing rig where the Agents are running on Windows Azure.   I’ll talk you through the above Topology, - User: User kick starts the load test run from the developer workstation on premise. This passes the request to the Test Controller. - Test Controller: The Test Controller is on premise connected to the same domain as the developer workstation. As soon as the Test Controller receives the request it makes use of the Windows Azure Connect service to orchestrate the test responsibilities to all the Test Agents. The Windows Azure Connect endpoint software must be active on all Azure instances and on the Controller machine as well. This allows IP connectivity between them and, given that the firewall is properly configured, allows the Controller to send work loads to the agents. In parallel, the Controller will collect the performance data from the agents, using the traditional WMI mechanisms. - Test Agents: The Test Agents are on the Windows Azure Public Cloud, as soon as the test controller issues instructions to the test agents, the test agents start executing the load tests. The HTTP requests are issued against the web server on premise, the results are captured by the test agents. And finally the results are passed over to the controller. - Servers: The Web Server and DB Server are hosted on premise in the datacentre, this is usually the case with business critical applications, you probably want to manage them your self. Recap and What’s next? So, in the introduction in the series of blog posts on Load Testing in the cloud I highlighted why creating a test rig in the cloud is a good idea, what advantages does Windows Azure offer and the Test Rig topology that I will be using. I would also like to mention that i stumbled upon this [Video] on Azure in a nutshell, great watch if you are new to Windows Azure. In the next post I intend to start setting up the Load Test Environment and discuss pricing with respect to test agent machine types that will be used in the test rig. Hope you enjoyed this post, If you have any recommendations on things that I should consider or any questions or feedback, feel free to add to this blog post. Remember to subscribe to http://feeds.feedburner.com/TarunArora.  See you in Part II.   Share this post : CodeProject

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  • Cloud to On-Premise Connectivity Patterns

    - by Rajesh Raheja
    Do you have a requirement to convert an Opportunity in Salesforce.com to an Order/Quote in Oracle E-Business Suite? Or maybe you want the creation of an Oracle RightNow Incident to trigger an on-premise Oracle E-Business Suite Service Request creation for RMA and Field Scheduling? If so, read on. In a previous blog post, I discussed integrating TO cloud applications, however the use cases above are the reverse i.e. receiving data FROM cloud applications (SaaS) TO on-premise applications/databases that sit behind a firewall. Oracle SOA Suite is assumed to be on-premise with with Oracle Service Bus as the mediation and virtualization layer. The main considerations for the patterns are are security i.e. shielding enterprise resources; and scalability i.e. minimizing firewall latency. Let me use an analogy to help visualize the patterns: the on-premise system is your home - with your most valuable possessions - and the SaaS app is your favorite on-line store which regularly ships (inbound calls) various types of parcels/items (message types/service operations). You need the items at home (on-premise) but want to safe guard against misguided elements of society (internet threats) who may masquerade as postal workers and vandalize property (denial of service?). Let's look at the patterns. Pattern: Pull from Cloud The on-premise system polls from the SaaS apps and picks up the message instead of having it delivered. This may be done using Oracle RightNow Object Query Language or SOAP APIs. This is particularly suited for certain integration approaches wherein messages are trickling in, can be centralized and batched e.g. retrieving event notifications on an hourly schedule from the Oracle Messaging Service. To compare this pattern with the home analogy, you are avoiding any deliveries to your home and instead go to the post office/UPS/Fedex store to pick up your parcel. Every time. Pros: On-premise assets not exposed to the Internet, firewall issues avoided by only initiating outbound connections Cons: Polling mechanisms may affect performance, may not satisfy near real-time requirements Pattern: Open Firewall Ports The on-premise system exposes the web services that needs to be invoked by the cloud application. This requires opening up firewall ports, routing calls to the appropriate internal services behind the firewall. Fusion Applications uses this pattern, and auto-provisions the services on the various virtual hosts to secure the topology. This works well for service integration, but may not suffice for large volume data integration. Using the home analogy, you have now decided to receive parcels instead of going to the post office every time. A door mail slot cut out allows the postman can drop small parcels, but there is still concern about cutting new holes for larger packages. Pros: optimal pattern for near real-time needs, simpler administration once the service is provisioned Cons: Needs firewall ports to be opened up for new services, may not suffice for batch integration requiring direct database access Pattern: Virtual Private Networking The on-premise network is "extended" to the cloud (or an intermediary on-demand / managed service offering) using Virtual Private Networking (VPN) so that messages are delivered to the on-premise system in a trusted channel. Using the home analogy, you entrust a set of keys with a neighbor or property manager who receives the packages, and then drops it inside your home. Pros: Individual firewall ports don't need to be opened, more suited for high scalability needs, can support large volume data integration, easier management of one connection vs a multitude of open ports Cons: VPN setup, specific hardware support, requires cloud provider to support virtual private computing Pattern: Reverse Proxy / API Gateway The on-premise system uses a reverse proxy "API gateway" software on the DMZ to receive messages. The reverse proxy can be implemented using various mechanisms e.g. Oracle API Gateway provides firewall and proxy services along with comprehensive security, auditing, throttling benefits. If a firewall already exists, then Oracle Service Bus or Oracle HTTP Server virtual hosts can provide reverse proxy implementations on the DMZ. Custom built implementations are also possible if specific functionality (such as message store-n-forward) is needed. In the home analogy, this pattern sits in between cutting mail slots and handing over keys. Instead, you install (and maintain) a mailbox in your home premises outside your door. The post office delivers the parcels in your mailbox, from where you can securely retrieve it. Pros: Very secure, very flexible Cons: Introduces a new software component, needs DMZ deployment and management Pattern: On-Premise Agent (Tunneling) A light weight "agent" software sits behind the firewall and initiates the communication with the cloud, thereby avoiding firewall issues. It then maintains a bi-directional connection either with pull or push based approaches using (or abusing, depending on your viewpoint) the HTTP protocol. Programming protocols such as Comet, WebSockets, HTTP CONNECT, HTTP SSH Tunneling etc. are possible implementation options. In the home analogy, a resident receives the parcel from the postal worker by opening the door, however you still take precautions with chain locks and package inspections. Pros: Light weight software, IT doesn't need to setup anything Cons: May bypass critical firewall checks e.g. virus scans, separate software download, proliferation of non-IT managed software Conclusion The patterns above are some of the most commonly encountered ones for cloud to on-premise integration. Selecting the right pattern for your project involves looking at your scalability needs, security restrictions, sync vs asynchronous implementation, near real-time vs batch expectations, cloud provider capabilities, budget, and more. In some cases, the basic "Pull from Cloud" may be acceptable, whereas in others, an extensive VPN topology may be well justified. For more details on the Oracle cloud integration strategy, download this white paper.

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  • Cloud to On-Premise Connectivity Patterns

    - by Rajesh Raheja
    Do you have a requirement to convert an Opportunity in Salesforce.com to an Order/Quote in Oracle E-Business Suite? Or maybe you want the creation of an Oracle RightNow Incident to trigger an on-premise Oracle E-Business Suite Service Request creation for RMA and Field Scheduling? If so, read on. In a previous blog post, I discussed integrating TO cloud applications, however the use cases above are the reverse i.e. receiving data FROM cloud applications (SaaS) TO on-premise applications/databases that sit behind a firewall. Oracle SOA Suite is assumed to be on-premise with with Oracle Service Bus as the mediation and virtualization layer. The main considerations for the patterns are are security i.e. shielding enterprise resources; and scalability i.e. minimizing firewall latency. Let me use an analogy to help visualize the patterns: the on-premise system is your home - with your most valuable possessions - and the SaaS app is your favorite on-line store which regularly ships (inbound calls) various types of parcels/items (message types/service operations). You need the items at home (on-premise) but want to safe guard against misguided elements of society (internet threats) who may masquerade as postal workers and vandalize property (denial of service?). Let's look at the patterns. Pattern: Pull from Cloud The on-premise system polls from the SaaS apps and picks up the message instead of having it delivered. This may be done using Oracle RightNow Object Query Language or SOAP APIs. This is particularly suited for certain integration approaches wherein messages are trickling in, can be centralized and batched e.g. retrieving event notifications on an hourly schedule from the Oracle Messaging Service. To compare this pattern with the home analogy, you are avoiding any deliveries to your home and instead go to the post office/UPS/Fedex store to pick up your parcel. Every time. Pros: On-premise assets not exposed to the Internet, firewall issues avoided by only initiating outbound connections Cons: Polling mechanisms may affect performance, may not satisfy near real-time requirements Pattern: Open Firewall Ports The on-premise system exposes the web services that needs to be invoked by the cloud application. This requires opening up firewall ports, routing calls to the appropriate internal services behind the firewall. Fusion Applications uses this pattern, and auto-provisions the services on the various virtual hosts to secure the topology. This works well for service integration, but may not suffice for large volume data integration. Using the home analogy, you have now decided to receive parcels instead of going to the post office every time. A door mail slot cut out allows the postman can drop small parcels, but there is still concern about cutting new holes for larger packages. Pros: optimal pattern for near real-time needs, simpler administration once the service is provisioned Cons: Needs firewall ports to be opened up for new services, may not suffice for batch integration requiring direct database access Pattern: Virtual Private Networking The on-premise network is "extended" to the cloud (or an intermediary on-demand / managed service offering) using Virtual Private Networking (VPN) so that messages are delivered to the on-premise system in a trusted channel. Using the home analogy, you entrust a set of keys with a neighbor or property manager who receives the packages, and then drops it inside your home. Pros: Individual firewall ports don't need to be opened, more suited for high scalability needs, can support large volume data integration, easier management of one connection vs a multitude of open ports Cons: VPN setup, specific hardware support, requires cloud provider to support virtual private computing Pattern: Reverse Proxy / API Gateway The on-premise system uses a reverse proxy "API gateway" software on the DMZ to receive messages. The reverse proxy can be implemented using various mechanisms e.g. Oracle API Gateway provides firewall and proxy services along with comprehensive security, auditing, throttling benefits. If a firewall already exists, then Oracle Service Bus or Oracle HTTP Server virtual hosts can provide reverse proxy implementations on the DMZ. Custom built implementations are also possible if specific functionality (such as message store-n-forward) is needed. In the home analogy, this pattern sits in between cutting mail slots and handing over keys. Instead, you install (and maintain) a mailbox in your home premises outside your door. The post office delivers the parcels in your mailbox, from where you can securely retrieve it. Pros: Very secure, very flexible Cons: Introduces a new software component, needs DMZ deployment and management Pattern: On-Premise Agent (Tunneling) A light weight "agent" software sits behind the firewall and initiates the communication with the cloud, thereby avoiding firewall issues. It then maintains a bi-directional connection either with pull or push based approaches using (or abusing, depending on your viewpoint) the HTTP protocol. Programming protocols such as Comet, WebSockets, HTTP CONNECT, HTTP SSH Tunneling etc. are possible implementation options. In the home analogy, a resident receives the parcel from the postal worker by opening the door, however you still take precautions with chain locks and package inspections. Pros: Light weight software, IT doesn't need to setup anything Cons: May bypass critical firewall checks e.g. virus scans, separate software download, proliferation of non-IT managed software Conclusion The patterns above are some of the most commonly encountered ones for cloud to on-premise integration. Selecting the right pattern for your project involves looking at your scalability needs, security restrictions, sync vs asynchronous implementation, near real-time vs batch expectations, cloud provider capabilities, budget, and more. In some cases, the basic "Pull from Cloud" may be acceptable, whereas in others, an extensive VPN topology may be well justified. For more details on the Oracle cloud integration strategy, download this white paper.

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  • Ruby 1.9.3 segmentation fault on rackspace

    - by user531065
    I'm having a similar problem as "ruby 1.9 segmentation fault on exit." I followed the solution and updated libselinux with yum and have the following version installed: Package libselinux-2.0.96-6.fc14.1.x86_64 already installed and latest version I am running a RackSpace machine, kernel version: 2.6.35.4-rscloud. My C backtrace is: -- C level backtrace information ------------------------------------------- /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x18910a) [0x7f3cdb6c010a] vm_dump.c:796 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x5eb04) [0x7f3cdb595b04] error.c:258 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(rb_bug+0xb8) [0x7f3cdb5969d8] error.c:277 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x119865) [0x7f3cdb650865] signal.c:609 /lib64/libpthread.so.0() [0x328540eeb0] /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x179272) [0x7f3cdb6b0272] ./include/ruby/ruby.h:1306 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x17f31b) [0x7f3cdb6b631b] vm.c:1220 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x1800d5) [0x7f3cdb6b70d5] vm.c:624 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(rb_yield+0x44) [0x7f3cdb6bb274] vm.c:654 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0xab821) [0x7f3cdb5e2821] numeric.c:3204 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x183601) [0x7f3cdb6ba601] vm_insnhelper.c:404 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x1792b4) [0x7f3cdb6b02b4] insns.def:1015 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x17f31b) [0x7f3cdb6b631b] vm.c:1220 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x1800d5) [0x7f3cdb6b70d5] vm.c:624 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(rb_yield+0x44) [0x7f3cdb6bb274] vm.c:654 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(rb_ary_each+0x54) [0x7f3cdb5622e4] array.c:1478 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x183601) [0x7f3cdb6ba601] vm_insnhelper.c:404 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x1792b4) [0x7f3cdb6b02b4] insns.def:1015 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x17f31b) [0x7f3cdb6b631b] vm.c:1220 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(rb_iseq_eval+0x1f0) [0x7f3cdb6bbae0] vm.c:1447 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x67bfd) [0x7f3cdb59ebfd] load.c:310 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(rb_require_safe+0x6ef) [0x7f3cdb5a02df] load.c:619 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x183601) [0x7f3cdb6ba601] vm_insnhelper.c:404 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x1792b4) [0x7f3cdb6b02b4] insns.def:1015 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x17f31b) [0x7f3cdb6b631b] vm.c:1220 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x1800d5) [0x7f3cdb6b70d5] vm.c:624 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(rb_yield+0x44) [0x7f3cdb6bb274] vm.c:654 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(rb_ary_each+0x54) [0x7f3cdb5622e4] array.c:1478 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x183601) [0x7f3cdb6ba601] vm_insnhelper.c:404 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x1792b4) [0x7f3cdb6b02b4] insns.def:1015 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x17f31b) [0x7f3cdb6b631b] vm.c:1220 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(rb_iseq_eval_main+0xaf) [0x7f3cdb6bbbdf] vm.c:1461 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(+0x6471a) [0x7f3cdb59b71a] eval.c:204 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(ruby_exec_node+0x1d) [0x7f3cdb59c56d] eval.c:251 /usr/local/rvm/rubies/ruby-1.9.3-p0/lib/libruby.so.1.9(ruby_run_node+0x1e) [0x7f3cdb59e60e] eval.c:244 ruby() [0x4008eb] /lib64/libc.so.6(__libc_start_main+0xfd) [0x3284c1ee5d] ruby() [0x4007d9]

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  • Time drift in Cloud Server - need to mainpulate GRUB config

    - by Aditya Advani
    We are hosting a VPS on a popular host and are experiencing a regular time drift of several minutes a day forward (approx 7). Linux Kernel: 2.6.18-164.11.1.el5 GNU/Linux Distro: CentOS release 5.4 (Final) We reached out to our hosting provider and their support advised us " This is a known issue with Cloud Servers. To fix this you will need to add one line to your grub config located at: /boot/grub/menu.lst The line you need to add is: noapic nolapic divider=10 nolapic_timer This should correct this issue. You will need to restart after this is added in. " Because I am wary of manipulating grub, mostly I'm terrified that our server may fail to restart - I ask you guys, the pro *nix admins - where exactly in this file does the recommended insertion below: # line from 1&1 for time syncing issue (Case 5163) noapic nolapic divider=10 nolapic_timer go? Please specify where exactly, and whether the order of commands is or is not important. Why is the block below "title CentOS ..." indented? If someone could give me an overview of how this works or point me to a resource that's easy to follow, that's what I'm looking for immediately, a light overview or basic understanding of what I;m doing. If GRUB and bootloaders are a deep dark treasure trove of kernel hacking or something, that's great well-recommended in-depth resources are also very welcome. This is my current /boot/grub/menu.lst # grub.conf generated by anaconda # # Note that you do not have to rerun grub after making changes to this file #boot=/dev/sda # serial --unit=0 --speed=57600 terminal --timeout=5 serial console timeout=5 title CentOS (2.6.18-164.11.1.el5) root (hd0,0) kernel /boot/vmlinuz-2.6.18-164.11.1.el5 ro root=/dev/hda1 console=tty0 console=tty initrd /boot/initrd-2.6.18-164.11.1.el5.img MOST IMPORTANT: I need to know where in the file above it is appropriate to paste the suggested line so I can confidently restart my VPS after manipulating GRUB config

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  • What is the best cloud technology to use for MongoDB/GridFS database servers

    - by Nerian
    We are going to launch a service that will require between 1 and 2 GB for file storage per paid user. I am going to use GridFS for storing files. GridFS is a module for MongoDB that allows to store large files in de database. I am pondering the different options for storing the database. But since I am unexperienced at deployment and it is my first time with Mongodb I need your experience. Criteria: I want to spend my time developing my core business, that is, my own application. I am a Ruby on Rails developer. I do not like to mess with server configuration. Hence, I would like a fully managed hosting solution. But I would like to know about any other option, if you think it is worth it. It should be able to scale. Cloud style. Pay as you go. The lower the price, the better. So far I known of these services: https://mongohq.com/pricing https://mongomachine.com/pricing https://mongolab.com/about/pricing/ http://cloudcontrol.com/add-ons/mongodb/ And they seem to be OK for common needs, that is no file storage. But I am going to use GridFS, so the size matters. These services seems to scale, in price, quite poorly. MongoHQ: The larger plan max storage is 20 GB. Seems like a very little storage, for GridFS. MongoMachine: Flat price, 2.5$ per GB. I didn't found the limit. Seems like a good price, comparing the others. MongoLab: 3.984 GB max, which I don't think I will hit, so perfect. 8$ per GB, quite costly. CloudControl: The larger plan is 20 Gb. The custom service starts at 250€ plus some unspecified charge per GB. What is your experience with these services? Any downtimes? Other possibilities? Edit: Added meaning of GridFS

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  • What is the best private cloud storage setup

    - by vdrmrt
    I need to create a private cloud and I'm searching for the best setup. These are my 2 most important requirements 1. Disk and system redundant 2. Price / GB as low as possible The system is going to be used as backup setup which will receive data 24/7 over SFTP and rsync. High throughput is not that important. I'm planning to use glusterfs and consumer grade 4TB hard-drives. I have worked out 3 possible setups 3 servers with 11 4TB HDD Setup up a replica 3 glusterfs and setup each hard drive as a separate ext4 brick. Total capacity: 44TB HDD / TB ratio of 0.75 (33HDD / 44TB) 2 servers with 11 4TB HDD The 11 hard-drives are combined in a RAIDZ3 ZFS storage pool. With a replica 2 gluster setup. Total capacity: 32TB (+ zfs compression) HDD / TB ratio of 0.68 (22HDD / 32TB) 3 servers with 11 4TB consumer hard-drives Setup up a replica 3 glusterfs and setup each hard-drive as a separate zfs storage pool and export each pool as a brick. Total capacity: 32TB (+ zfs compression) HDD / TB ratio of 0.68 (22HDD / 32TB) (Cheapest) My remarks and concerns: If a hard drive fails which setup will recover the quickest? In my opinion setup 1 and 3 because there only the contents of 1 hard-drive needs to be copied over the network. Instead of setup 2 were the hard-drive needs te be reconstructed by reading the parity of all the other harddrives in the system. Will a zfs pool on 1 harddrive give me extra protection against for example bit rot? With setup 1 and 3 I can loose 2 systems and still be up and running with setup 2 I can only loose 1 system. When I use ZFS I can enable compression which will give me some extra storage.

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  • Managing rolling deployments in the cloud

    - by Josh Nankin
    Recently I've been experimenting with various cloud management tools like RightScale, Scalr, custom scripts for managing a variety of servers, each hosting several roles (app, db, load balancer, job queues, etc). The one thing I find lacking in most solutions is a way to do rolling deployments, i.e. running deployments sequentially across a number of servers with the same role. For instance, I dont want to build all of my webservers at the same time, as that will almost definitely result in some down time or 500s for my customers. I'd rather have one or two servers build at a time, while other servers are still available to handle requests. The other alternative is obviously to launch new servers that automatically update themselves on boot, but this isn't as cost effective, and most likely requires more time for the build to complete (it's faster to build on an existing server than to launch a new server and kill old ones). We've all heard of the big companies having the famous "push to build" button (companies like Twilio, Etsy, etc.) but it seems that they all have custom implementations of this. I'm not talking about a simple ssh-loop, clusterssh, or even an mcollective - I preferably want something with a nice simple interface that allows me to specify something like a RightScript or a Scalr script to run on a set of servers with a specific role, and it builds them sequentially. Does any one know of easy ways to get this done, or is this a candidate for a new open source project?

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  • 421 Concurrent Connections - Ratelimit from helpdesk to rackspace server

    - by g18c
    We have Kayako helpdesk running on our WHM Linux server. When e-mails come in from customers, notifications are sent out by Kayako to a number of staff whose mailboxes are hosted on Rackspace mail servers. I noticed a large queue in the Exim queued message viewer of WHM - when looking in Exim logs I can see many lines 2012-10-13 20:06:56 1TN72s-0007Cw-1l SMTP error from remote mail server after initial connection: host mx2.emailsrvr.com [173.203.2.32]: 421 Too many concurrent connections from this client. One client email results in about 5 emails to rackspace servers, perhaps 60 emails per 1 hour on average - not a huge amount but enough to cause messages to be rejected when sent in short bursts. In this case ideally if we can limit the connections sent to the rackspace server we can comply with their limit. For our requirements if we send 1 email every10 seconds or so, this would be OK. Messages to all other servers should go through a normal rates, only mx1.emailsrvr.com and mx2.emailsrvr.com should have this connection limit policy applied. Is this possible?

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  • Jungledisk - choosing between Amazon S3 and Rackspace ?

    - by Dietmar
    Hi, jungledisk is owned by rackspace and offers an option to choose Amazon S3 which charges for traffic whereby if data is stored on rackspace, no charges for traffic. For a small company, to just backup files with jungle disk from ubuntu linux OS computers, i wonder what to choose. Commercial psychologically the price on traffic and the Amazon brand make it appear or maybe it is, of better quality than the cheaper Rackspace offer which is when it comes for just backing up ok ? but if its about backing up around 30 GB which updates from time to time, what would you consider a good choice ?

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