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  • StorageWorks MSA60 and other storage related questions

    - by Mejmo
    Hi, I do not have deeper knowledge of the storage area, sorry for asking evidently stupid questions :) We are thinking about getting HP StorageWorks MSA60 for storing our VM. Do we need another DL server with controller so that we could use iSCSI ? Do we need to get some P800 controller for doing that? I cannot imagine how it is connected together actually ... MSA60-DLserver with p800 controller and servers that are running VM connected with iSCSI to this DL server ? Or MSA60 directly supports iSCSI so the DL server is not necessary ? What is inside this MSA60? Is it possible to install there OS ? Thank you.

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  • Linqpad with Table Storage

    - by kaleidoscope
    LinqPad as we all know has been a wonderful tool for running ad-hoc queries. With Azure Table storage in picture LinqPad was no longer in picture and we shifted focus to Cloud Storage Studio only to realize the limited and strange querying capabilities of CSS. With some tweaking to Linqpad we can get the comfortable old shoe of ad-hoc queries with LinqPad in the Azure Table storage. Steps: 1. Start LinqPad 2. Right Click in the query window and select “Query Properties” 3. In The Additional References add reference to Microsoft.WindowsAzure.StorageClient, System.Data.Services.Client.dll and the assembly containing the implementation of the DataServiceContext class tied to the Azure table storage. 4. In the additional namespace imports import the same three namespaces mentioned above. 5. Then we need to provide following details. a. Table storage account name and shared key. b. DataServiceContext implementing class in your code. c. A LINQ query. e.x. var storageAccountName = "myStorageAccount";  // Enter valid storage account name var storageSharedKey = "mysharedKey"; // Enter valid storage account shared key var uri = new System.Uri("http://table.core.windows.net/"); var storageAccountInfo = new CloudStorageAccount(new StorageCredentialsAccountKey(storageAccountName, storageSharedKey), false); var serviceContext = new TweetPollDataServiceContext(storageAccountInfo); // Specify the DataServiceContext implementation // The query var query = from row in serviceContext.Table select row;         query.Dump(); Sarang, K

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  • PARTNER WEBCAST (June 4): Enhance Customer experience with Nimble Storage SmartStack for Oracle with Cisco

    - by Zeynep Koch
    Live Webcast: Enhance Customer experience with Nimble Storage SmartStack for Oracle with Cisco A webcast for resellers who sell Oracle workloads to customers  Wednesday, June 4, 2014, 8:00 AM PDT /11 AM EDT  Register today Nimble Storage SmartStack™ for Oracle provides pre-validated reference architecture that speed deployments and minimize risk.  IT and Oracle administrators and architects realize the importance of underlying Operating System, Virtualization software, and Storage in maintaining services levels and staying in budget.  In this webinar, you will learn how Nimble Storage SmartStack for Oracle provides a converged infrastructure for Oracle database online transaction processing (OLTP) and online analytical processing (OLAP) environments with Oracle Linux and Oracle VM. SmartStack delivers the performance and reliability needed for deploying Oracle on a single symmetric multiprocessing (SMP) server or if you are running Oracle Real Application Clusters (RAC) on multiple nodes. Nimble Storage SmartStack for Oracle with Cisco can help you provide: Improved Oracle performance Stress-free data protection and DR of your Oracle database Higher availability and uptime Accelerate Oracle development and improve testing All for dramatically less than what you’re paying now Presenters: Doan Nguyen, Senior Principal Product Marketing Director, Oracle Vanessa Scott , Business Development Manager, Cisco Ibrahim “Ibby” Rahmani, Product and Solutions Marketing, Nimble Storage Join this event to learn from our Nimble Storage and Oracle experts on how to optimize your customers' Oracle environments. Register today to learn more!

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  • PARTNER WEBCAST (June 4): Enhance Customer experience with Nimble Storage SmartStack for Oracle with Cisco

    - by Zeynep Koch
    Live Webcast: Enhance Customer experience with Nimble Storage SmartStack for Oracle with Cisco A webcast for resellers who sell Oracle workloads to customers  Wednesday, June 4, 2014, 8:00 AM PDT /11 AM EDT  Register today Nimble Storage SmartStack™ for Oracle provides pre-validated reference architecture that speed deployments and minimize risk.  IT and Oracle administrators and architects realize the importance of underlying Operating System, Virtualization software, and Storage in maintaining services levels and staying in budget.  In this webinar, you will learn how Nimble Storage SmartStack for Oracle provides a converged infrastructure for Oracle database online transaction processing (OLTP) and online analytical processing (OLAP) environments with Oracle Linux and Oracle VM. SmartStack delivers the performance and reliability needed for deploying Oracle on a single symmetric multiprocessing (SMP) server or if you are running Oracle Real Application Clusters (RAC) on multiple nodes. Nimble Storage SmartStack for Oracle with Cisco can help you provide: Improved Oracle performance Stress-free data protection and DR of your Oracle database Higher availability and uptime Accelerate Oracle development and improve testing All for dramatically less than what you’re paying now Presenters: Doan Nguyen, Senior Principal Product Marketing Director, Oracle Vanessa Scott , Business Development Manager, Cisco Ibrahim “Ibby” Rahmani, Product and Solutions Marketing, Nimble Storage Join this event to learn from our Nimble Storage and Oracle experts on how to optimize your customers' Oracle environments. Register today to learn more!

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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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  • Node.js Adventure - Storage Services and Service Runtime

    - by Shaun
    When I described on how to host a Node.js application on Windows Azure, one of questions might be raised about how to consume the vary Windows Azure services, such as the storage, service bus, access control, etc.. Interact with windows azure services is available in Node.js through the Windows Azure Node.js SDK, which is a module available in NPM. In this post I would like to describe on how to use Windows Azure Storage (a.k.a. WAS) as well as the service runtime.   Consume Windows Azure Storage Let’s firstly have a look on how to consume WAS through Node.js. As we know in the previous post we can host Node.js application on Windows Azure Web Site (a.k.a. WAWS) as well as Windows Azure Cloud Service (a.k.a. WACS). In theory, WAWS is also built on top of WACS worker roles with some more features. Hence in this post I will only demonstrate for hosting in WACS worker role. The Node.js code can be used when consuming WAS when hosted on WAWS. But since there’s no roles in WAWS, the code for consuming service runtime mentioned in the next section cannot be used for WAWS node application. We can use the solution that I created in my last post. Alternatively we can create a new windows azure project in Visual Studio with a worker role, add the “node.exe” and “index.js” and install “express” and “node-sqlserver” modules, make all files as “Copy always”. In order to use windows azure services we need to have Windows Azure Node.js SDK, as knows as a module named “azure” which can be installed through NPM. Once we downloaded and installed, we need to include them in our worker role project and make them as “Copy always”. You can use my “Copy all always” tool mentioned in my last post to update the currently worker role project file. You can also find the source code of this tool here. The source code of Windows Azure SDK for Node.js can be found in its GitHub page. It contains two parts. One is a CLI tool which provides a cross platform command line package for Mac and Linux to manage WAWS and Windows Azure Virtual Machines (a.k.a. WAVM). The other is a library for managing and consuming vary windows azure services includes tables, blobs, queues, service bus and the service runtime. I will not cover all of them but will only demonstrate on how to use tables and service runtime information in this post. You can find the full document of this SDK here. Back to Visual Studio and open the “index.js”, let’s continue our application from the last post, which was working against Windows Azure SQL Database (a.k.a. WASD). The code should looks like this. 1: var express = require("express"); 2: var sql = require("node-sqlserver"); 3:  4: var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:ac6271ya9e.database.windows.net,1433;Database=synctile;Uid=shaunxu@ac6271ya9e;Pwd={PASSWORD};Encrypt=yes;Connection Timeout=30;"; 5: var port = 80; 6:  7: var app = express(); 8:  9: app.configure(function () { 10: app.use(express.bodyParser()); 11: }); 12:  13: app.get("/", function (req, res) { 14: sql.open(connectionString, function (err, conn) { 15: if (err) { 16: console.log(err); 17: res.send(500, "Cannot open connection."); 18: } 19: else { 20: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 21: if (err) { 22: console.log(err); 23: res.send(500, "Cannot retrieve records."); 24: } 25: else { 26: res.json(results); 27: } 28: }); 29: } 30: }); 31: }); 32:  33: app.get("/text/:key/:culture", function (req, res) { 34: sql.open(connectionString, function (err, conn) { 35: if (err) { 36: console.log(err); 37: res.send(500, "Cannot open connection."); 38: } 39: else { 40: var key = req.params.key; 41: var culture = req.params.culture; 42: var command = "SELECT * FROM [Resource] WHERE [Key] = '" + key + "' AND [Culture] = '" + culture + "'"; 43: conn.queryRaw(command, function (err, results) { 44: if (err) { 45: console.log(err); 46: res.send(500, "Cannot retrieve records."); 47: } 48: else { 49: res.json(results); 50: } 51: }); 52: } 53: }); 54: }); 55:  56: app.get("/sproc/:key/:culture", function (req, res) { 57: sql.open(connectionString, function (err, conn) { 58: if (err) { 59: console.log(err); 60: res.send(500, "Cannot open connection."); 61: } 62: else { 63: var key = req.params.key; 64: var culture = req.params.culture; 65: var command = "EXEC GetItem '" + key + "', '" + culture + "'"; 66: conn.queryRaw(command, function (err, results) { 67: if (err) { 68: console.log(err); 69: res.send(500, "Cannot retrieve records."); 70: } 71: else { 72: res.json(results); 73: } 74: }); 75: } 76: }); 77: }); 78:  79: app.post("/new", function (req, res) { 80: var key = req.body.key; 81: var culture = req.body.culture; 82: var val = req.body.val; 83:  84: sql.open(connectionString, function (err, conn) { 85: if (err) { 86: console.log(err); 87: res.send(500, "Cannot open connection."); 88: } 89: else { 90: var command = "INSERT INTO [Resource] VALUES ('" + key + "', '" + culture + "', N'" + val + "')"; 91: conn.queryRaw(command, function (err, results) { 92: if (err) { 93: console.log(err); 94: res.send(500, "Cannot retrieve records."); 95: } 96: else { 97: res.send(200, "Inserted Successful"); 98: } 99: }); 100: } 101: }); 102: }); 103:  104: app.listen(port); Now let’s create a new function, copy the records from WASD to table service. 1. Delete the table named “resource”. 2. Create a new table named “resource”. These 2 steps ensures that we have an empty table. 3. Load all records from the “resource” table in WASD. 4. For each records loaded from WASD, insert them into the table one by one. 5. Prompt to user when finished. In order to use table service we need the storage account and key, which can be found from the developer portal. Just select the storage account and click the Manage Keys button. Then create two local variants in our Node.js application for the storage account name and key. Since we need to use WAS we need to import the azure module. Also I created another variant stored the table name. In order to work with table service I need to create the storage client for table service. This is very similar as the Windows Azure SDK for .NET. As the code below I created a new variant named “client” and use “createTableService”, specified my storage account name and key. 1: var azure = require("azure"); 2: var storageAccountName = "synctile"; 3: var storageAccountKey = "/cOy9L7xysXOgPYU9FjDvjrRAhaMX/5tnOpcjqloPNDJYucbgTy7MOrAW7CbUg6PjaDdmyl+6pkwUnKETsPVNw=="; 4: var tableName = "resource"; 5: var client = azure.createTableService(storageAccountName, storageAccountKey); Now create a new function for URL “/was/init” so that we can trigger it through browser. Then in this function we will firstly load all records from WASD. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: } 18: } 19: }); 20: } 21: }); 22: }); When we succeed loaded all records we can start to transform them into table service. First I need to recreate the table in table service. This can be done by deleting and creating the table through table client I had just created previously. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: // transform the records 26: } 27: }); 28: }); 29: } 30: } 31: }); 32: } 33: }); 34: }); As you can see, the azure SDK provide its methods in callback pattern. In fact, almost all modules in Node.js use the callback pattern. For example, when I deleted a table I invoked “deleteTable” method, provided the name of the table and a callback function which will be performed when the table had been deleted or failed. Underlying, the azure module will perform the table deletion operation in POSIX async threads pool asynchronously. And once it’s done the callback function will be performed. This is the reason we need to nest the table creation code inside the deletion function. If we perform the table creation code after the deletion code then they will be invoked in parallel. Next, for each records in WASD I created an entity and then insert into the table service. Finally I send the response to the browser. Can you find a bug in the code below? I will describe it later in this post. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: // transform the records 26: for (var i = 0; i < results.rows.length; i++) { 27: var entity = { 28: "PartitionKey": results.rows[i][1], 29: "RowKey": results.rows[i][0], 30: "Value": results.rows[i][2] 31: }; 32: client.insertEntity(tableName, entity, function (error) { 33: if (error) { 34: error["target"] = "insertEntity"; 35: res.send(500, error); 36: } 37: else { 38: console.log("entity inserted"); 39: } 40: }); 41: } 42: // send the 43: console.log("all done"); 44: res.send(200, "All done!"); 45: } 46: }); 47: }); 48: } 49: } 50: }); 51: } 52: }); 53: }); Now we can publish it to the cloud and have a try. But normally we’d better test it at the local emulator first. In Node.js SDK there are three build-in properties which provides the account name, key and host address for local storage emulator. We can use them to initialize our table service client. We also need to change the SQL connection string to let it use my local database. The code will be changed as below. 1: // windows azure sql database 2: //var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:ac6271ya9e.database.windows.net,1433;Database=synctile;Uid=shaunxu@ac6271ya9e;Pwd=eszqu94XZY;Encrypt=yes;Connection Timeout=30;"; 3: // sql server 4: var connectionString = "Driver={SQL Server Native Client 11.0};Server={.};Database={Caspar};Trusted_Connection={Yes};"; 5:  6: var azure = require("azure"); 7: var storageAccountName = "synctile"; 8: var storageAccountKey = "/cOy9L7xysXOgPYU9FjDvjrRAhaMX/5tnOpcjqloPNDJYucbgTy7MOrAW7CbUg6PjaDdmyl+6pkwUnKETsPVNw=="; 9: var tableName = "resource"; 10: // windows azure storage 11: //var client = azure.createTableService(storageAccountName, storageAccountKey); 12: // local storage emulator 13: var client = azure.createTableService(azure.ServiceClient.DEVSTORE_STORAGE_ACCOUNT, azure.ServiceClient.DEVSTORE_STORAGE_ACCESS_KEY, azure.ServiceClient.DEVSTORE_TABLE_HOST); Now let’s run the application and navigate to “localhost:12345/was/init” as I hosted it on port 12345. We can find it transformed the data from my local database to local table service. Everything looks fine. But there is a bug in my code. If we have a look on the Node.js command window we will find that it sent response before all records had been inserted, which is not what I expected. The reason is that, as I mentioned before, Node.js perform all IO operations in non-blocking model. When we inserted the records we executed the table service insert method in parallel, and the operation of sending response was also executed in parallel, even though I wrote it at the end of my logic. The correct logic should be, when all entities had been copied to table service with no error, then I will send response to the browser, otherwise I should send error message to the browser. To do so I need to import another module named “async”, which helps us to coordinate our asynchronous code. Install the module and import it at the beginning of the code. Then we can use its “forEach” method for the asynchronous code of inserting table entities. The first argument of “forEach” is the array that will be performed. The second argument is the operation for each items in the array. And the third argument will be invoked then all items had been performed or any errors occurred. Here we can send our response to browser. 1: app.get("/was/init", function (req, res) { 2: // load all records from windows azure sql database 3: sql.open(connectionString, function (err, conn) { 4: if (err) { 5: console.log(err); 6: res.send(500, "Cannot open connection."); 7: } 8: else { 9: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 10: if (err) { 11: console.log(err); 12: res.send(500, "Cannot retrieve records."); 13: } 14: else { 15: if (results.rows.length > 0) { 16: // begin to transform the records into table service 17: // recreate the table named 'resource' 18: client.deleteTable(tableName, function (error) { 19: client.createTableIfNotExists(tableName, function (error) { 20: if (error) { 21: error["target"] = "createTableIfNotExists"; 22: res.send(500, error); 23: } 24: else { 25: async.forEach(results.rows, 26: // transform the records 27: function (row, callback) { 28: var entity = { 29: "PartitionKey": row[1], 30: "RowKey": row[0], 31: "Value": row[2] 32: }; 33: client.insertEntity(tableName, entity, function (error) { 34: if (error) { 35: callback(error); 36: } 37: else { 38: console.log("entity inserted."); 39: callback(null); 40: } 41: }); 42: }, 43: // send reponse 44: function (error) { 45: if (error) { 46: error["target"] = "insertEntity"; 47: res.send(500, error); 48: } 49: else { 50: console.log("all done"); 51: res.send(200, "All done!"); 52: } 53: } 54: ); 55: } 56: }); 57: }); 58: } 59: } 60: }); 61: } 62: }); 63: }); Run it locally and now we can find the response was sent after all entities had been inserted. Query entities against table service is simple as well. Just use the “queryEntity” method from the table service client and providing the partition key and row key. We can also provide a complex query criteria as well, for example the code here. In the code below I queried an entity by the partition key and row key, and return the proper localization value in response. 1: app.get("/was/:key/:culture", function (req, res) { 2: var key = req.params.key; 3: var culture = req.params.culture; 4: client.queryEntity(tableName, culture, key, function (error, entity) { 5: if (error) { 6: res.send(500, error); 7: } 8: else { 9: res.json(entity); 10: } 11: }); 12: }); And then tested it on local emulator. Finally if we want to publish this application to the cloud we should change the database connection string and storage account. For more information about how to consume blob and queue service, as well as the service bus please refer to the MSDN page.   Consume Service Runtime As I mentioned above, before we published our application to the cloud we need to change the connection string and account information in our code. But if you had played with WACS you should have known that the service runtime provides the ability to retrieve configuration settings, endpoints and local resource information at runtime. Which means we can have these values defined in CSCFG and CSDEF files and then the runtime should be able to retrieve the proper values. For example we can add some role settings though the property window of the role, specify the connection string and storage account for cloud and local. And the can also use the endpoint which defined in role environment to our Node.js application. In Node.js SDK we can get an object from “azure.RoleEnvironment”, which provides the functionalities to retrieve the configuration settings and endpoints, etc.. In the code below I defined the connection string variants and then use the SDK to retrieve and initialize the table client. 1: var connectionString = ""; 2: var storageAccountName = ""; 3: var storageAccountKey = ""; 4: var tableName = ""; 5: var client; 6:  7: azure.RoleEnvironment.getConfigurationSettings(function (error, settings) { 8: if (error) { 9: console.log("ERROR: getConfigurationSettings"); 10: console.log(JSON.stringify(error)); 11: } 12: else { 13: console.log(JSON.stringify(settings)); 14: connectionString = settings["SqlConnectionString"]; 15: storageAccountName = settings["StorageAccountName"]; 16: storageAccountKey = settings["StorageAccountKey"]; 17: tableName = settings["TableName"]; 18:  19: console.log("connectionString = %s", connectionString); 20: console.log("storageAccountName = %s", storageAccountName); 21: console.log("storageAccountKey = %s", storageAccountKey); 22: console.log("tableName = %s", tableName); 23:  24: client = azure.createTableService(storageAccountName, storageAccountKey); 25: } 26: }); In this way we don’t need to amend the code for the configurations between local and cloud environment since the service runtime will take care of it. At the end of the code we will listen the application on the port retrieved from SDK as well. 1: azure.RoleEnvironment.getCurrentRoleInstance(function (error, instance) { 2: if (error) { 3: console.log("ERROR: getCurrentRoleInstance"); 4: console.log(JSON.stringify(error)); 5: } 6: else { 7: console.log(JSON.stringify(instance)); 8: if (instance["endpoints"] && instance["endpoints"]["nodejs"]) { 9: var endpoint = instance["endpoints"]["nodejs"]; 10: app.listen(endpoint["port"]); 11: } 12: else { 13: app.listen(8080); 14: } 15: } 16: }); But if we tested the application right now we will find that it cannot retrieve any values from service runtime. This is because by default, the entry point of this role was defined to the worker role class. In windows azure environment the service runtime will open a named pipeline to the entry point instance, so that it can connect to the runtime and retrieve values. But in this case, since the entry point was worker role and the Node.js was opened inside the role, the named pipeline was established between our worker role class and service runtime, so our Node.js application cannot use it. To fix this problem we need to open the CSDEF file under the azure project, add a new element named Runtime. Then add an element named EntryPoint which specify the Node.js command line. So that the Node.js application will have the connection to service runtime, then it’s able to read the configurations. Start the Node.js at local emulator we can find it retrieved the connections, storage account for local. And if we publish our application to azure then it works with WASD and storage service through the configurations for cloud.   Summary In this post I demonstrated how to use Windows Azure SDK for Node.js to interact with storage service, especially the table service. I also demonstrated on how to use WACS service runtime, how to retrieve the configuration settings and the endpoint information. And in order to make the service runtime available to my Node.js application I need to create an entry point element in CSDEF file and set “node.exe” as the entry point. I used five posts to introduce and demonstrate on how to run a Node.js application on Windows platform, how to use Windows Azure Web Site and Windows Azure Cloud Service worker role to host our Node.js application. I also described how to work with other services provided by Windows Azure platform through Windows Azure SDK for Node.js. Node.js is a very new and young network application platform. But since it’s very simple and easy to learn and deploy, as well as, it utilizes single thread non-blocking IO model, Node.js became more and more popular on web application and web service development especially for those IO sensitive projects. And as Node.js is very good at scaling-out, it’s more useful on cloud computing platform. Use Node.js on Windows platform is new, too. The modules for SQL database and Windows Azure SDK are still under development and enhancement. It doesn’t support SQL parameter in “node-sqlserver”. It does support using storage connection string to create the storage client in “azure”. But Microsoft is working on make them easier to use, working on add more features and functionalities.   PS, you can download the source code here. You can download the source code of my “Copy all always” tool here.   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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  • 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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  • USB drives not recognized all of a sudden

    - by Siddharth
    I have tried most of the advice on askubuntu and other sites, usb_storage enable to fdisk -l. But I am unable to find steps to get it working again. lsusb results Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 002 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 003 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 004 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 005 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 004 Device 002: ID 413c:3012 Dell Computer Corp. Optical Wheel Mouse Bus 005 Device 002: ID 413c:2105 Dell Computer Corp. Model L100 Keyboard Bus 001 Device 005: ID 8564:1000 dmseg | tail reports [ 69.567948] usb 1-4: USB disconnect, device number 4 [ 74.084041] usb 1-6: new high-speed USB device number 5 using ehci_hcd [ 74.240484] Initializing USB Mass Storage driver... [ 74.256033] scsi5 : usb-storage 1-6:1.0 [ 74.256145] usbcore: registered new interface driver usb-storage [ 74.256147] USB Mass Storage support registered. [ 74.257290] usbcore: deregistering interface driver usb-storage fdisk -l reports Device Boot Start End Blocks Id System /dev/sda1 * 2048 972656639 486327296 83 Linux /dev/sda2 972658686 976771071 2056193 5 Extended /dev/sda5 972658688 976771071 2056192 82 Linux swap / Solaris I think I need steps to install and get usb_storage module working. Edit : I tried sudo modprobe -v usb-storage reports sudo modprobe -v usb-storage insmod /lib/modules/3.2.0-48-generic-pae/kernel/drivers/usb/storage/usb-storage.ko Still no usb driver mounted. Nor does a device show up in /dev. Any step by step process to debug and fix this will be really helpful. Thanks.

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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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  • Intel Rapid Storage Technology (pre-OS) driver installation

    - by Nero theZero
    My desktop machine is built on Gigabyte GA-Z87-UD3H and Gigabyte provides the latest driver for Intel Rapid Storage Technology (IRST), which I installed after installing the OS. Same goes for my Lenovo Thinkpad-T420. And for both machine, checking the controller device under the IDE ATA/ATAPI Controllers section in Device Manager I see the driver has been updated to the latest version. I set the SATA controller to AHCI from BIOS On the desktop machine I have one WD 2TB BLACK & one WD 3TB Green I don’t use RAID, & no chance of using in near future, but according to Intel IRST improves performance in single disk scenario too. Now I have the following questions – What is the actual purpose of IRST (pre-OS install) driver that doesn’t get served with a post-OS driver that I installed? There must be some difference, otherwise there wouldn’t be a pre-OS version of the driver. Right? In the pre-OS procedure (loading the drivers at OS-installation time) after successfully completing the OS installation, do I need that post-OS driver? Because after installing from that one I got a quick launch icon that runs the IRST configuration application. Where do get that after installing the pre-OS driver? As it is “pre-OS”, when I load it at OS-installation time, does it updates anything at BIOS level or anywhere other than HDD? That’s because I’m going to dual boot Windows 7 with Windows 8.1, and after installing Windows 7 when I install Windows 8.1 & load the IRST driver for that, is there any chance of any “overwriting” or OS-incompatibility? In short, is there anything specific to follow while installing the second OS?

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  • Is basing storage requirements based on IOPS sufficient?

    - by Boden
    The current system in question is running SBS 2003, and is going to be migrated on new hardware to SBS 2008. Currently I'm seeing on average 200-300 disk transfers per second total across all the arrays in the system. The array seeing the bulk of activity is a 6 disk 7200RPM RAID 6 and it struggles to keep up during high traffic times (idle time often only 10-20%; response times peaking 20-50+ ms). Based on some rough calculations this makes sense (avg ~245 IOPS on this array at 70/30 read to write ratio). I'm considering using a much simpler disk configuration using a single RAID 10 array of 10K disks. Using the same parameters for my calculations above, I'm getting 583 average random IOPS / sec. Granted SBS 2008 is not the same beast as 2003, but I'd like to make the assumption that it'll be similar in terms of disk performance, if not better (Exchange 2007 is easier on the disk and there's no ISA server). Am I correct in believing that the proposed system will be sufficient in terms of performance, or am I missing something? I've read so much about recommended disk configurations for various products like Exchange, and they often mention things like dedicating spindles to logs, etc. I understand the reasoning behind this, but if I've got more than enough random I/O overhead, does it really matter? I've always at the very least had separate spindles for the OS, but I could really reduce cost and complexity if I just had a single, good performing array. So as not to make you guys do my job for me, the generic version of this question is: if I have a projected IOPS figure for a new system, is it sufficient to use this value alone to spec the storage, ignoring "best practice" configurations? (given similar technology, not going from DAS to SAN or anything)

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  • Unable to send mail to hotmail from rackspace cloud

    - by Jo Erlang
    I'm having issue sending mail from postfix on a rackspace cloud instance for my domain. Hotmail says "550 SC-001 (SNT0-MC4-F35) Unfortunately, messages from 198.101.x.x weren't sent. Please contact your Internet service provider since part of their network is on our block list. " Here is the mail log Sep 20 08:02:59 mydomain postfix/smtpd[1810]: disconnect from localhost[127.0.0.1] Sep 20 08:02:59 mydomain postfix/smtp[1814]: 59CFF4B191: to=<[email protected]>, relay=mx3.hotmail.com[65.55.92.184]:25, delay=0.19, delays=0.1/0.01/0.06/0.01, dsn=5.0.0, status=bounced (host mx3.hotmail.com[65.55.92.184] said: 550 SC-001 (SNT0-MC4-F35) Unfortunately, messages from 198.101.x.x weren't sent. Please contact your Internet service provider since part of their network is on our block list. You can also refer your provider to http://mail.live.com/mail/troubleshooting.aspx#errors. (in reply to MAIL FROM command)) Sep 20 08:02:59 mydomain postfix/smtp[1814]: 59CFF4B191: lost connection with mx3.hotmail.com[65.55.92.184] while sending RCPT TO I have implemented rDNS, SPF and DKIM they all are looking fine. I have checked my IP and domain, on most of the spam black lists and it is listed as ok on those, (not listed as spamming IP) What should I try next?

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  • Enterprise class storage best practices

    - by churnd
    One thing that has always perplexed me is storage best practices. Filesystems brag about how they can be petabytes or exabytes in size. Yet, I do not know many sysadmins who are willing to let a single volume grow over several terrabytes. I do know the primary reason behind this is how long it would take to rebuild the array should a drive fail. The more drives in a single LUN, the longer this takes and the greater your risk of losing another drive while the rebuild is taking place. Then there's usage reasons. Admins will carve out a LUN based on how much space they think needs to be allocated to the project. It seems more practical to me for the LUN to be one large array and to use quotas. I understand this wouldn't satisfy every requirement (iSCSI), but I see a lot of NAS systems (NFS) managed this way. I also understand that the underlying volumes can be grown/shrunk as needed quite easily, but wouldn't it be less "risky" to use quotas rather than manipulating volumes and bringing possible data loss into the equation? There may be some other reasons I'm missing, so please enlighten me. Can we not expect filesystems to ever be so large? Are we waiting for the hardware to get faster to cut down on rebuild times?

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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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  • How to diagnose storage system scaling problems?

    - by Unknown
    We are currently testing the maximum sequential read throughput of a storage system (48 disks total behind two HP P2000 arrays) connected to HP DL580 G7 running RHEL 5 with 128 GB of memory. Initial testing has been mainly done by running DD-commands like this: dd if=/dev/mapper/mpath1 of=/dev/null bs=1M count=3000 In parallel for each disk. However, we have been unable to scale the results from one array (maximum throughput of 1.3 GB/s) to two (almost the same throughput). Each array is connected to a dedicated host bust adapter, so they should not be the bottleneck. The disks are currently in JBOD configuration, so each disk can be addressed directly. I have two questions: Is running multiple DD commands in parallel really a good way to test maximum read throughput? We have noticed very high SWAPIN-% numbers in iotop, which I find hard to explain because the target is /dev/null How shoud we proceed in trying to find the reason for the scaling problem? Do you thing the server itself is the bottleneck here, or could there be some linux parameters that we have overlooked?

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  • Dans le Cloud computing, un tutoriel pour débutant, traduit par Nicolas vieux et Vincent Viale

    Qu'est-ce que le Cloud computing ? Le Cloud computing est devenu le nouveau mot à la mode tirée en grande partie par le marketing et les offres de services de grands groupes comme Google, IBM et Amazon. Cloud computing est la prochaine étape dans l'évolution d'Internet. Cloud computing fournit le moyen par lequel tout - de la puissance de calcul de l'infrastructure informatique, des applications, des processus d'affaires pour une autoentreprise - peut être livré comme un service où et quand vous en avez besoin.

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  • Oracle Cloud Services Referral Program Now Available

    - by Cinzia Mascanzoni
    Partners can now take advantage of the five different Cloud Services programs: The Cloud Referral Partner program allows partners to get rewarded for referring Oracle Cloud opportunities to Oracle. The Cloud Services Partner Referral program is an extension of Oracle’s existing referral program but offers a standard 10% referral rate paid on guaranteed revenue with $50K cap. For a limited time, Oracle is offering a 20% referral rate for [offering still being finalized]. Contact your partner manager for more details and click here for more information.

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  • Free E-Book from APress - Building the Infrastructure for Cloud Security

    - by TATWORTH
    Originally posted on: http://geekswithblogs.net/TATWORTH/archive/2014/05/29/free-e-book-from-apress---building-the-infrastructure-for-cloud.aspxAt http://www.apress.com/9781430261452, APress are offering a free E-Book on Building the Infrastructure for Cloud Security. “This book provides a comprehensive look at the various facets of cloud security – infrastructure, network, services, Compliance and users.  It will provide real world case studies to articulate the real and perceived risks and challenges in deploying and managing services in a cloud infrastructure from a security perspective. ”

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  • Java Cloud Service Integration to REST Service

    - by Jani Rautiainen
    Service (JCS) provides a platform to develop and deploy business applications in the cloud. In Fusion Applications Cloud deployments customers do not have the option to deploy custom applications developed with JDeveloper to ensure the integrity and supportability of the hosted application service. Instead the custom applications can be deployed to the JCS and integrated to the Fusion Application Cloud instance. This series of articles will go through the features of JCS, provide end-to-end examples on how to develop and deploy applications on JCS and how to integrate them with the Fusion Applications instance. In this article a custom application integrating with REST service will be implemented. We will use REST services provided by Taleo as an example; however the same approach will work with any REST service. In this example the data from the REST service is used to populate a dynamic table. Pre-requisites Access to Cloud instance In order to deploy the application access to a JCS instance is needed, a free trial JCS instance can be obtained from Oracle Cloud site. To register you will need a credit card even if the credit card will not be charged. To register simply click "Try it" and choose the "Java" option. The confirmation email will contain the connection details. See this video for example of the registration.Once the request is processed you will be assigned 2 service instances; Java and Database. Applications deployed to the JCS must use Oracle Database Cloud Service as their underlying database. So when JCS instance is created a database instance is associated with it using a JDBC data source.The cloud services can be monitored and managed through the web UI. For details refer to Getting Started with Oracle Cloud. JDeveloper JDeveloper contains Cloud specific features related to e.g. connection and deployment. To use these features download the JDeveloper from JDeveloper download site by clicking the "Download JDeveloper 11.1.1.7.1 for ADF deployment on Oracle Cloud" link, this version of JDeveloper will have the JCS integration features that will be used in this article. For versions that do not include the Cloud integration features the Oracle Java Cloud Service SDK or the JCS Java Console can be used for deployment. For details on installing and configuring the JDeveloper refer to the installation guideFor details on SDK refer to Using the Command-Line Interface to Monitor Oracle Java Cloud Service and Using the Command-Line Interface to Manage Oracle Java Cloud Service. Access to a local database The database associated with the JCS instance cannot be connected to with JDBC.  Since creating ADFbc business component requires a JDBC connection we will need access to a local database. 3rd party libraries This example will use some 3rd party libraries for implementing the REST service call and processing the input / output content. Other libraries may also be used, however these are tested to work. Jersey 1.x Jersey library will be used as a client to make the call to the REST service. JCS documentation for supported specifications states: Java API for RESTful Web Services (JAX-RS) 1.1 So Jersey 1.x will be used. Download the single-JAR Jersey bundle; in this example Jersey 1.18 JAR bundle is used. Json-simple Jjson-simple library will be used to process the json objects. Download the  JAR file; in this example json-simple-1.1.1.jar is used. Accessing data in Taleo Before implementing the application it is beneficial to familiarize oneself with the data in Taleo. Easiest way to do this is by using a RESTClient on your browser. Once added to the browser you can access the UI: The client can be used to call the REST services to test the URLs and data before adding them into the application. First derive the base URL for the service this can be done with: Method: GET URL: https://tbe.taleo.net/MANAGER/dispatcher/api/v1/serviceUrl/<company name> The response will contain the base URL to be used for the service calls for the company. Next obtain authentication token with: Method: POST URL: https://ch.tbe.taleo.net/CH07/ats/api/v1/login?orgCode=<company>&userName=<user name>&password=<password> The response includes an authentication token that can be used for few hours to authenticate with the service: {   "response": {     "authToken": "webapi26419680747505890557"   },   "status": {     "detail": {},     "success": true   } } To authenticate the service calls navigate to "Headers -> Custom Header": And add a new request header with: Name: Cookie Value: authToken=webapi26419680747505890557 Once authentication token is defined the tool can be used to invoke REST services; for example: Method: GET URL: https://ch.tbe.taleo.net/CH07/ats/api/v1/object/candidate/search.xml?status=16 This data will be used on the application to be created. For details on the Taleo REST services refer to the Taleo Business Edition REST API Guide. Create Application First Fusion Web Application is created and configured. Start JDeveloper and click "New Application": Application Name: JcsRestDemo Application Package Prefix: oracle.apps.jcs.test Application Template: Fusion Web Application (ADF) Configure Local Cloud Connection Follow the steps documented in the "Java Cloud Service ADF Web Application" article to configure a local database connection needed to create the ADFbc objects. Configure Libraries Add the 3rd party libraries into the class path. Create the following directory and copy the jar files into it: <JDEV_USER_HOME>/JcsRestDemo/lib  Select the "Model" project, navigate "Application -> Project Properties -> Libraries and Classpath -> Add JAR / Directory" and add the 2 3rd party libraries: Accessing Data from Taleo To access data from Taleo using the REST service the 3rd party libraries will be used. 2 Java classes are implemented, one representing the Candidate object and another for accessing the Taleo repository Candidate Candidate object is a POJO object used to represent the candidate data obtained from the Taleo repository. The data obtained will be used to populate the ADFbc object used to display the data on the UI. The candidate object contains simply the variables we obtain using the REST services and the getters / setters for them: Navigate "New -> General -> Java -> Java Class", enter "Candidate" as the name and create it in the package "oracle.apps.jcs.test.model".  Copy / paste the following as the content: import oracle.jbo.domain.Number; public class Candidate { private Number candId; private String firstName; private String lastName; public Candidate() { super(); } public Candidate(Number candId, String firstName, String lastName) { super(); this.candId = candId; this.firstName = firstName; this.lastName = lastName; } public void setCandId(Number candId) { this.candId = candId; } public Number getCandId() { return candId; } public void setFirstName(String firstName) { this.firstName = firstName; } public String getFirstName() { return firstName; } public void setLastName(String lastName) { this.lastName = lastName; } public String getLastName() { return lastName; } } Taleo Repository Taleo repository class will interact with the Taleo REST services. The logic will query data from Taleo and populate Candidate objects with the data. The Candidate object will then be used to populate the ADFbc object used to display data on the UI. Navigate "New -> General -> Java -> Java Class", enter "TaleoRepository" as the name and create it in the package "oracle.apps.jcs.test.model".  Copy / paste the following as the content (for details of the implementation refer to the documentation in the code): import com.sun.jersey.api.client.Client; import com.sun.jersey.api.client.ClientResponse; import com.sun.jersey.api.client.WebResource; import com.sun.jersey.core.util.MultivaluedMapImpl; import java.io.StringReader; import java.util.ArrayList; import java.util.Iterator; import java.util.List; import java.util.Map; import javax.ws.rs.core.MediaType; import javax.ws.rs.core.MultivaluedMap; import oracle.jbo.domain.Number; import org.json.simple.JSONArray; import org.json.simple.JSONObject; import org.json.simple.parser.JSONParser; /** * This class interacts with the Taleo REST services */ public class TaleoRepository { /** * Connection information needed to access the Taleo services */ String _company = null; String _userName = null; String _password = null; /** * Jersey client used to access the REST services */ Client _client = null; /** * Parser for processing the JSON objects used as * input / output for the services */ JSONParser _parser = null; /** * The base url for constructing the REST URLs. This is obtained * from Taleo with a service call */ String _baseUrl = null; /** * Authentication token obtained from Taleo using a service call. * The token can be used to authenticate on subsequent * service calls. The token will expire in 4 hours */ String _authToken = null; /** * Static url that can be used to obtain the url used to construct * service calls for a given company */ private static String _taleoUrl = "https://tbe.taleo.net/MANAGER/dispatcher/api/v1/serviceUrl/"; /** * Default constructor for the repository * Authentication details are passed as parameters and used to generate * authentication token. Note that each service call will * generate its own token. This is done to avoid dealing with the expiry * of the token. Also only 20 tokens are allowed per user simultaneously. * So instead for each call there is login / logout. * * @param company the company for which the service calls are made * @param userName the user name to authenticate with * @param password the password to authenticate with. */ public TaleoRepository(String company, String userName, String password) { super(); _company = company; _userName = userName; _password = password; _client = Client.create(); _parser = new JSONParser(); _baseUrl = getBaseUrl(); } /** * This obtains the base url for a company to be used * to construct the urls for service calls * @return base url for the service calls */ private String getBaseUrl() { String result = null; if (null != _baseUrl) { result = _baseUrl; } else { try { String company = _company; WebResource resource = _client.resource(_taleoUrl + company); ClientResponse response = resource.type(MediaType.APPLICATION_FORM_URLENCODED_TYPE).get(ClientResponse.class); String entity = response.getEntity(String.class); JSONObject jsonObject = (JSONObject)_parser.parse(new StringReader(entity)); JSONObject jsonResponse = (JSONObject)jsonObject.get("response"); result = (String)jsonResponse.get("URL"); } catch (Exception ex) { ex.printStackTrace(); } } return result; } /** * Generates authentication token, that can be used to authenticate on * subsequent service calls. Note that each service call will * generate its own token. This is done to avoid dealing with the expiry * of the token. Also only 20 tokens are allowed per user simultaneously. * So instead for each call there is login / logout. * @return authentication token that can be used to authenticate on * subsequent service calls */ private String login() { String result = null; try { MultivaluedMap<String, String> formData = new MultivaluedMapImpl(); formData.add("orgCode", _company); formData.add("userName", _userName); formData.add("password", _password); WebResource resource = _client.resource(_baseUrl + "login"); ClientResponse response = resource.type(MediaType.APPLICATION_FORM_URLENCODED_TYPE).post(ClientResponse.class, formData); String entity = response.getEntity(String.class); JSONObject jsonObject = (JSONObject)_parser.parse(new StringReader(entity)); JSONObject jsonResponse = (JSONObject)jsonObject.get("response"); result = (String)jsonResponse.get("authToken"); } catch (Exception ex) { throw new RuntimeException("Unable to login ", ex); } if (null == result) throw new RuntimeException("Unable to login "); return result; } /** * Releases a authentication token. Each call to login must be followed * by call to logout after the processing is done. This is required as * the tokens are limited to 20 per user and if not released the tokens * will only expire after 4 hours. * @param authToken */ private void logout(String authToken) { WebResource resource = _client.resource(_baseUrl + "logout"); resource.header("cookie", "authToken=" + authToken).post(ClientResponse.class); } /** * This method is used to obtain a list of candidates using a REST * service call. At this example the query is hard coded to query * based on status. The url constructed to access the service is: * <_baseUrl>/object/candidate/search.xml?status=16 * @return List of candidates obtained with the service call */ public List<Candidate> getCandidates() { List<Candidate> result = new ArrayList<Candidate>(); try { // First login, note that in finally block we must have logout _authToken = "authToken=" + login(); /** * Construct the URL, the resulting url will be: * <_baseUrl>/object/candidate/search.xml?status=16 */ MultivaluedMap<String, String> formData = new MultivaluedMapImpl(); formData.add("status", "16"); JSONArray searchResults = (JSONArray)getTaleoResource("object/candidate/search", "searchResults", formData); /** * Process the results, the resulting JSON object is something like * this (simplified for readability): * * { * "response": * { * "searchResults": * [ * { * "candidate": * { * "candId": 211, * "firstName": "Mary", * "lastName": "Stochi", * logic here will find the candidate object(s), obtain the desired * data from them, construct a Candidate object based on the data * and add it to the results. */ for (Object object : searchResults) { JSONObject temp = (JSONObject)object; JSONObject candidate = (JSONObject)findObject(temp, "candidate"); Long candIdTemp = (Long)candidate.get("candId"); Number candId = (null == candIdTemp ? null : new Number(candIdTemp)); String firstName = (String)candidate.get("firstName"); String lastName = (String)candidate.get("lastName"); result.add(new Candidate(candId, firstName, lastName)); } } catch (Exception ex) { ex.printStackTrace(); } finally { if (null != _authToken) logout(_authToken); } return result; } /** * Convenience method to construct url for the service call, invoke the * service and obtain a resource from the response * @param path the path for the service to be invoked. This is combined * with the base url to construct a url for the service * @param resource the key for the object in the response that will be * obtained * @param parameters any parameters used for the service call. The call * is slightly different depending whether parameters exist or not. * @return the resource from the response for the service call */ private Object getTaleoResource(String path, String resource, MultivaluedMap<String, String> parameters) { Object result = null; try { WebResource webResource = _client.resource(_baseUrl + path); ClientResponse response = null; if (null == parameters) response = webResource.header("cookie", _authToken).get(ClientResponse.class); else response = webResource.queryParams(parameters).header("cookie", _authToken).get(ClientResponse.class); String entity = response.getEntity(String.class); JSONObject jsonObject = (JSONObject)_parser.parse(new StringReader(entity)); result = findObject(jsonObject, resource); } catch (Exception ex) { ex.printStackTrace(); } return result; } /** * Convenience method to recursively find a object with an key * traversing down from a given root object. This will traverse a * JSONObject / JSONArray recursively to find a matching key, if found * the object with the key is returned. * @param root root object which contains the key searched for * @param key the key for the object to search for * @return the object matching the key */ private Object findObject(Object root, String key) { Object result = null; if (root instanceof JSONObject) { JSONObject rootJSON = (JSONObject)root; if (rootJSON.containsKey(key)) { result = rootJSON.get(key); } else { Iterator children = rootJSON.entrySet().iterator(); while (children.hasNext()) { Map.Entry entry = (Map.Entry)children.next(); Object child = entry.getValue(); if (child instanceof JSONObject || child instanceof JSONArray) { result = findObject(child, key); if (null != result) break; } } } } else if (root instanceof JSONArray) { JSONArray rootJSON = (JSONArray)root; for (Object child : rootJSON) { if (child instanceof JSONObject || child instanceof JSONArray) { result = findObject(child, key); if (null != result) break; } } } return result; } }   Creating Business Objects While JCS application can be created without a local database, the local database is required when using ADFbc objects even if database objects are not referred. For this example we will create a "Transient" view object that will be programmatically populated based the data obtained from Taleo REST services. Creating ADFbc objects Choose the "Model" project and navigate "New -> Business Tier : ADF Business Components : View Object". On the "Initialize Business Components Project" choose the local database connection created in previous step. On Step 1 enter "JcsRestDemoVO" on the "Name" and choose "Rows populated programmatically, not based on query": On step 2 create the following attributes: CandId Type: Number Updatable: Always Key Attribute: checked Name Type: String Updatable: Always On steps 3 and 4 accept defaults and click "Next".  On step 5 check the "Application Module" checkbox and enter "JcsRestDemoAM" as the name: Click "Finish" to generate the objects. Populating the VO To display the data on the UI the "transient VO" is populated programmatically based on the data obtained from the Taleo REST services. Open the "JcsRestDemoVOImpl.java". Copy / paste the following as the content (for details of the implementation refer to the documentation in the code): import java.sql.ResultSet; import java.util.List; import java.util.ListIterator; import oracle.jbo.server.ViewObjectImpl; import oracle.jbo.server.ViewRowImpl; import oracle.jbo.server.ViewRowSetImpl; // --------------------------------------------------------------------- // --- File generated by Oracle ADF Business Components Design Time. // --- Tue Feb 18 09:40:25 PST 2014 // --- Custom code may be added to this class. // --- Warning: Do not modify method signatures of generated methods. // --------------------------------------------------------------------- public class JcsRestDemoVOImpl extends ViewObjectImpl { /** * This is the default constructor (do not remove). */ public JcsRestDemoVOImpl() { } @Override public void executeQuery() { /** * For some reason we need to reset everything, otherwise * 2nd entry to the UI screen may fail with * "java.util.NoSuchElementException" in createRowFromResultSet * call to "candidates.next()". I am not sure why this is happening * as the Iterator is new and "hasNext" is true at the point * of the execution. My theory is that since the iterator object is * exactly the same the VO cache somehow reuses the iterator including * the pointer that has already exhausted the iterable elements on the * previous run. Working around the issue * here by cleaning out everything on the VO every time before query * is executed on the VO. */ getViewDef().setQuery(null); getViewDef().setSelectClause(null); setQuery(null); this.reset(); this.clearCache(); super.executeQuery(); } /** * executeQueryForCollection - overridden for custom java data source support. */ protected void executeQueryForCollection(Object qc, Object[] params, int noUserParams) { /** * Integrate with the Taleo REST services using TaleoRepository class. * A list of candidates matching a hard coded query is obtained. */ TaleoRepository repository = new TaleoRepository(<company>, <username>, <password>); List<Candidate> candidates = repository.getCandidates(); /** * Store iterator for the candidates as user data on the collection. * This will be used in createRowFromResultSet to create rows based on * the custom iterator. */ ListIterator<Candidate> candidatescIterator = candidates.listIterator(); setUserDataForCollection(qc, candidatescIterator); super.executeQueryForCollection(qc, params, noUserParams); } /** * hasNextForCollection - overridden for custom java data source support. */ protected boolean hasNextForCollection(Object qc) { boolean result = false; /** * Determines whether there are candidates for which to create a row */ ListIterator<Candidate> candidates = (ListIterator<Candidate>)getUserDataForCollection(qc); result = candidates.hasNext(); /** * If all candidates to be created indicate that processing is done */ if (!result) { setFetchCompleteForCollection(qc, true); } return result; } /** * createRowFromResultSet - overridden for custom java data source support. */ protected ViewRowImpl createRowFromResultSet(Object qc, ResultSet resultSet) { /** * Obtain the next candidate from the collection and create a row * for it. */ ListIterator<Candidate> candidates = (ListIterator<Candidate>)getUserDataForCollection(qc); ViewRowImpl row = createNewRowForCollection(qc); try { Candidate candidate = candidates.next(); row.setAttribute("CandId", candidate.getCandId()); row.setAttribute("Name", candidate.getFirstName() + " " + candidate.getLastName()); } catch (Exception e) { e.printStackTrace(); } return row; } /** * getQueryHitCount - overridden for custom java data source support. */ public long getQueryHitCount(ViewRowSetImpl viewRowSet) { /** * For this example this is not implemented rather we always return 0. */ return 0; } } Creating UI Choose the "ViewController" project and navigate "New -> Web Tier : JSF : JSF Page". On the "Create JSF Page" enter "JcsRestDemo" as name and ensure that the "Create as XML document (*.jspx)" is checked.  Open "JcsRestDemo.jspx" and navigate to "Data Controls -> JcsRestDemoAMDataControl -> JcsRestDemoVO1" and drag & drop the VO to the "<af:form> " as a "ADF Read-only Table": Accept the defaults in "Edit Table Columns". To execute the query navigate to to "Data Controls -> JcsRestDemoAMDataControl -> JcsRestDemoVO1 -> Operations -> Execute" and drag & drop the operation to the "<af:form> " as a "Button": Deploying to JCS Follow the same steps as documented in previous article"Java Cloud Service ADF Web Application". Once deployed the application can be accessed with URL: https://java-[identity domain].java.[data center].oraclecloudapps.com/JcsRestDemo-ViewController-context-root/faces/JcsRestDemo.jspx The UI displays a list of candidates obtained from the Taleo REST Services: Summary In this article we learned how to integrate with REST services using Jersey library in JCS. In future articles various other integration techniques will be covered.

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