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  • Is Sql Azure useful without windows azure?

    - by KallDrexx
    I am currently doing some research to get some preliminary IT cost projections for a project, and I was looking at Azure. Since this is a startup, I do not want to deal with the IT operations myself and instead am looking at having it all professionally hosted. I am looking at azure due to the SLA assurances, already in place disaster recovery operations, and the reliability. I'm playing with some numbers, and I am wondering if hosting my database on Sql Azure is an option, while hosting the actual webpage on another host until I need the frontend scalability of Azure. Is this actually feasible or will the latency in requests between the web host and azure be too much and I would be better off hosting both on the same service?

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  • FREE Online Azure Workshop includes a **FREE Azure Account**

    - by Jim Duffy
    My friend and all around good guy, Microsoft Developer Evangelist for the Carolinas, Brian Hitney, along with fellow Microsofties Jim O’Neil and John McClelland will be presenting a FREE Windows Azure online workshop tomorrow, Tuesday, May 4th from 7pm-9pm. What? You can’t make it Tuesday evening? Not to worry. This webcast will be repeated again a number of times over the next month or so. Taken from Brian’s blog post about it: “Elevate your skills with Windows Azure in this hands-on workshop! In this event we’ll guide you through the process of building and deploying a large scale Azure application. Forget about “hello world”! In less than two hours we’ll build and deploy a real cloud app that leverages the Azure data center and helps make a difference in the world. Yes, in addition to building an application that will leave you with a rock-solid understanding of the Azure platform, the solution you deploy will contribute back to Stanford’s Folding@home distributed computing project. There’s no cost to you to participate in this session; each attendee will receive a temporary, self-expiring, full-access account to work with Azure for a period of 2-weeks.” Did you catch that last sentence??  “each attendee will receive a temporary, self-expiring, full-access account to work with Azure for a period of 2-weeks.” A FREE, full-access, Windows Azure account to experiment and learn with? Now we’re talking. For more information check out Brian’s blog post or head here. Have a day. :-|

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  • Windows Azure Mobile Services: New support for iOS apps, Facebook/Twitter/Google identity, Emails, SMS, Blobs, Service Bus and more

    - by ScottGu
    A few weeks ago I blogged about Windows Azure Mobile Services - a new capability in Windows Azure that makes it incredibly easy to connect your client and mobile applications to a scalable cloud backend. Earlier today we delivered a number of great improvements to Windows Azure Mobile Services.  New features include: iOS support – enabling you to connect iPhone and iPad apps to Mobile Services Facebook, Twitter, and Google authentication support with Mobile Services Blob, Table, Queue, and Service Bus support from within your Mobile Service Sending emails from your Mobile Service (in partnership with SendGrid) Sending SMS messages from your Mobile Service (in partnership with Twilio) Ability to deploy mobile services in the West US region All of these improvements are now live in production and available to start using immediately. Below are more details on them: iOS Support This week we delivered initial support for connecting iOS based devices (including iPhones and iPads) to Windows Azure Mobile Services.  Like the rest of our Windows Azure SDK, we are delivering the native iOS libraries to enable this under an open source (Apache 2.0) license on GitHub.  We’re excited to get your feedback on this new library through our forum and GitHub issues list, and we welcome contributions to the SDK. To create a new iOS app or connect an existing iOS app to your Mobile Service, simply select the “iOS” tab within the Quick Start view of a Mobile Service within the Windows Azure Portal – and then follow either the “Create a new iOS app” or “Connect to an existing iOS app” link below it: Clicking either of these links will expand and display step-by-step instructions for how to build an iOS application that connects with your Mobile Service: Read this getting started tutorial to walkthrough how you can build (in less than 5 minutes) a simple iOS “Todo List” app that stores data in Windows Azure.  Then follow the below tutorials to explore how to use the iOS client libraries to store data and authenticate users. Get Started with data in Mobile Services for iOS Get Started with authentication in Mobile Services for iOS Facebook, Twitter, and Google Authentication Support Our initial preview of Mobile Services supported the ability to authenticate users of mobile apps using Microsoft Accounts (formerly called Windows Live ID accounts).  This week we are adding the ability to also authenticate users using Facebook, Twitter, and Google credentials.  These are now supported with both Windows 8 apps as well as iOS apps (and a single app can support multiple forms of identity simultaneously – so you can offer your users a choice of how to login). The below tutorials walkthrough how to register your Mobile Service with an identity provider: How to register your app with Microsoft Account How to register your app with Facebook How to register your app with Twitter How to register your app with Google The tutorials above walkthrough how to obtain a client ID and a secret key from the identity provider. You can then click on the “Identity” tab of your Mobile Service (within the Windows Azure Portal) and save these values to enable server-side authentication with your Mobile Service: You can then write code within your client or mobile app to authenticate your users to the Mobile Service.  For example, below is the code you would write to have them login to the Mobile Service using their Facebook credentials: Windows Store App (using C#): var user = await App.MobileService                     .LoginAsync(MobileServiceAuthenticationProvider.Facebook); iOS app (using Objective C): UINavigationController *controller = [self.todoService.client     loginViewControllerWithProvider:@"facebook"     completion:^(MSUser *user, NSError *error) {        //... }]; Learn more about authenticating Mobile Services using Microsoft Account, Facebook, Twitter, and Google from these tutorials: Get started with authentication in Mobile Services for Windows Store (C#) Get started with authentication in Mobile Services for Windows Store (JavaScript) Get started with authentication in Mobile Services for iOS Using Windows Azure Blob, Tables and ServiceBus with your Mobile Services Mobile Services provide a simple but powerful way to add server logic using server scripts. These scripts are associated with the individual CRUD operations on your mobile service’s tables. Server scripts are great for data validation, custom authorization logic (e.g. does this user participate in this game session), augmenting CRUD operations, sending push notifications, and other similar scenarios.   Server scripts are written in JavaScript and are executed in a secure server-side scripting environment built using Node.js.  You can edit these scripts and save them on the server directly within the Windows Azure Portal: In this week’s release we have added the ability to work with other Windows Azure services from your Mobile Service server scripts.  This is supported using the existing “azure” module within the Windows Azure SDK for Node.js.  For example, the below code could be used in a Mobile Service script to obtain a reference to a Windows Azure Table (after which you could query it or insert data into it):     var azure = require('azure');     var tableService = azure.createTableService("<< account name >>",                                                 "<< access key >>"); Follow the tutorials on the Windows Azure Node.js dev center to learn more about working with Blob, Tables, Queues and Service Bus using the azure module. Sending emails from your Mobile Service In this week’s release we have also added the ability to easily send emails from your Mobile Service, building on our partnership with SendGrid. Whether you want to add a welcome email upon successful user registration, or make your app alert you of certain usage activities, you can do this now by sending email from Mobile Services server scripts. To get started, sign up for SendGrid account at http://sendgrid.com . Windows Azure customers receive a special offer of 25,000 free emails per month from SendGrid. To sign-up for this offer, or get more information, please visit http://www.sendgrid.com/azure.html . One you signed up, you can add the following script to your Mobile Service server scripts to send email via SendGrid service:     var sendgrid = new SendGrid('<< account name >>', '<< password >>');       sendgrid.send({         to: '<< enter email address here >>',         from: '<< enter from address here >>',         subject: 'New to-do item',         text: 'A new to-do was added: ' + item.text     }, function (success, message) {         if (!success) {             console.error(message);         }     }); Follow the Send email from Mobile Services with SendGrid tutorial to learn more. Sending SMS messages from your Mobile Service SMS is a key communication medium for mobile apps - it comes in handy if you want your app to send users a confirmation code during registration, allow your users to invite their friends to install your app or reach out to mobile users without a smartphone. Using Mobile Service server scripts and Twilio’s REST API, you can now easily send SMS messages to your app.  To get started, sign up for Twilio account. Windows Azure customers receive 1000 free text messages when using Twilio and Windows Azure together. Once signed up, you can add the following to your Mobile Service server scripts to send SMS messages:     var httpRequest = require('request');     var account_sid = "<< account SID >>";     var auth_token = "<< auth token >>";       // Create the request body     var body = "From=" + from + "&To=" + to + "&Body=" + message;       // Make the HTTP request to Twilio     httpRequest.post({         url: "https://" + account_sid + ":" + auth_token +              "@api.twilio.com/2010-04-01/Accounts/" + account_sid + "/SMS/Messages.json",         headers: { 'content-type': 'application/x-www-form-urlencoded' },         body: body     }, function (err, resp, body) {         console.log(body);     }); I’m excited to be speaking at the TwilioCon conference this week, and will be showcasing some of the cool scenarios you can now enable with Twilio and Windows Azure Mobile Services. Mobile Services availability in West US region Our initial preview of Windows Azure Mobile Services was only supported in the US East region of Windows Azure.  As with every Windows Azure service, overtime we will extend Mobile Services to all Windows Azure regions. With this week’s preview update we’ve added support so that you can now create your Mobile Service in the West US region as well: Summary The above features are all now live in production and are available to use immediately.  If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using Mobile Services today. Visit the Windows Azure Mobile Developer Center to learn more about how to build apps with Mobile Services. We’ll have even more new features and enhancements coming later this week – including .NET 4.5 support for Windows Azure Web Sites.  Keep an eye out on my blog for details as new features become available. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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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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  • Cloud MBaaS : The Next Big Thing in Enterprise Mobility

    - by shiju
    In this blog post, I will take a look at Cloud Mobile Backend as a Service (MBaaS) and how we can leverage Cloud based Mobile Backend as a Service for building enterprise mobile apps. Today, mobile apps are incredibly significant in both consumer and enterprise space and the demand for the mobile apps is unbelievably increasing in day to day business. An enterprise can’t survive in business without a proper mobility strategy. A better mobility strategy and faster delivery of your mobile apps will give you an extra mileage for your business and IT strategy. So organizations and mobile developers are looking for different strategy for meeting this demand and adopting different development strategy for their mobile apps. Some developers are adopting hybrid mobile app development platforms, for delivering their products for multiple platforms, for fast time-to-market. Others are adopting a Mobile enterprise application platform (MEAP) such as Kony for their enterprise mobile apps for fast time-to-market and better business integration. The Challenges of Enterprise Mobility The real challenge of enterprise mobile apps, is not about creating the front-end environment or developing front-end for multiple platforms. The most important thing of enterprise mobile apps is to expose your enterprise data to mobile devices where the real pain is your business data might be residing in lot of different systems including legacy systems, ERP systems etc., and these systems will be deployed with lot of security restrictions. Exposing your data from the on-premises servers, is not a easy thing for most of the business organizations. Many organizations are spending too much time for their front-end development strategy, but they are really lacking for building a strategy on their back-end for exposing the business data to mobile apps. So building a REST services layer and mobile back-end services, on the top of legacy systems and existing middleware systems, is the key part of most of the enterprise mobile apps, where multiple mobile platforms can easily consume these REST services and other mobile back-end services for building mobile apps. For some mobile apps, we can’t predict its user base, especially for products where customers can gradually increase at any time. And for today’s mobile apps, faster time-to-market is very critical so that spending too much time for mobile app’s scalability, will not be worth. The real power of Cloud is the agility and on-demand scalability, where we can scale-up and scale-down our applications very easily. It would be great if we could use the power of Cloud to mobile apps. So using Cloud for mobile apps is a natural fit, where we can use Cloud as the storage for mobile apps and hosting mechanism for mobile back-end services, where we can enjoy the full power of Cloud with greater level of on-demand scalability and operational agility. So Cloud based Mobile Backend as a Service is great choice for building enterprise mobile apps, where enterprises can enjoy the massive scalability power of their mobile apps, provided by public cloud vendors such as Microsoft Windows Azure. Mobile Backend as a Service (MBaaS) We have discussed the key challenges of enterprise mobile apps and how we can leverage Cloud for hosting mobile backend services. MBaaS is a set of cloud-based, server-side mobile services for multiple mobile platforms and HTML5 platform, which can be used as a backend for your mobile apps with the scalability power of Cloud. The information below provides the key features of a typical MBaaS platform: Cloud based storage for your application data. Automatic REST API services on the application data, for CRUD operations. Native push notification services with massive scalability power. User management services for authenticate users. User authentication via Social accounts such as Facebook, Google, Microsoft, and Twitter. Scheduler services for periodically sending data to mobile devices. Native SDKs for multiple mobile platforms such as Windows Phone and Windows Store, Android, Apple iOS, and HTML5, for easily accessing the mobile services from mobile apps, with better security.  Typically, a MBaaS platform will provide native SDKs for multiple mobile platforms so that we can easily consume the server-side mobile services. MBaaS based REST APIs can use for integrating to enterprise backend systems. We can use the same mobile services for multiple platform so hat we can reuse the application logic to multiple mobile platforms. Public cloud vendors are building the mobile services on the top of their PaaS offerings. Windows Azure Mobile Services is a great platform for a MBaaS offering that is leveraging Windows Azure Cloud platform’s PaaS capabilities. Hybrid mobile development platform Titanium provides their own MBaaS services. LoopBack is a new MBaaS service provided by Node.js consulting firm StrongLoop, which can be hosted on multiple cloud platforms and also for on-premises servers. The Challenges of MBaaS Solutions If you are building your mobile apps with a new data storage, it will be very easy, since there is not any integration challenges you have to face. But most of the use cases, you have to extract your application data in which stored in on-premises servers which might be under VPNs and firewalls. So exposing these data to your MBaaS solution with a proper security would be a big challenge. The capability of your MBaaS vendor is very important as you have to interact with your legacy systems for many enterprise mobile apps. So you should be very careful about choosing for MBaaS vendor. At the same time, you should have a proper strategy for mobilizing your application data which stored in on-premises legacy systems, where your solution architecture and strategy is more important than platforms and tools.  Windows Azure Mobile Services Windows Azure Mobile Services is an MBaaS offerings from Windows Azure cloud platform. IMHO, Microsoft Windows Azure is the best PaaS platform in the Cloud space. Windows Azure Mobile Services extends the PaaS capabilities of Windows Azure, to mobile devices, which can be used as a cloud backend for your mobile apps, which will provide global availability and reach for your mobile apps. Windows Azure Mobile Services provides storage services, user management with social network integration, push notification services and scheduler services and provides native SDKs for all major mobile platforms and HTML5. In Windows Azure Mobile Services, you can write server-side scripts in Node.js where you can enjoy the full power of Node.js including the use of NPM modules for your server-side scripts. In the previous section, we had discussed some challenges of MBaaS solutions. You can leverage Windows Azure Cloud platform for solving many challenges regarding with enterprise mobility. The entire Windows Azure platform can play a key role for working as the backend for your mobile apps where you can leverage the entire Windows Azure platform for your mobile apps. With Windows Azure, you can easily connect to your on-premises systems which is a key thing for mobile backend solutions. Another key point is that Windows Azure provides better integration with services like Active Directory, which makes Windows Azure as the de facto platform for enterprise mobility, for enterprises, who have been leveraging Microsoft ecosystem for their application and IT infrastructure. Windows Azure Mobile Services  is going to next evolution where you can expect some exciting features in near future. One area, where Windows Azure Mobile Services should definitely need an improvement, is about the default storage mechanism in which currently it is depends on SQL Server. IMHO, developers should be able to choose multiple default storage option when creating a new mobile service instance. Let’s say, there should be a different storage providers such as SQL Server storage provider and Table storage provider where developers should be able to choose their choice of storage provider when creating a new mobile services project. I have been used Windows Azure and Windows Azure Mobile Services as the backend for production apps for mobile, where it performed very well. MBaaS Over MEAP Recently, many larger enterprises has been adopted Mobile enterprise application platform (MEAP) for their mobile apps. I haven’t worked on any production MEAP solution, but I heard that developers are really struggling with MEAP in different way. The learning curve for a proprietary MEAP platform is very high. I am completely against for using larger proprietary ecosystem for mobile apps. For enterprise mobile apps, I highly recommend to use native iOS/Android/Windows Phone or HTML5  for front-end with a cloud hosted MBaaS solution as the middleware. A MBaaS service can be consumed from multiple mobile apps where REST APIs are using to integrating with enterprise backend systems. Enterprise mobility should start with exposing REST APIs on the enterprise backend systems and these REST APIs can host on Cloud where we can enjoy the power of Cloud for our services. If you are having REST APIs for your enterprise data, then you can easily build mobile frontends for multiple platforms.   You can follow me on Twitter @shijucv

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  • Announcing: Improvements to the Windows Azure Portal

    - by ScottGu
    Earlier today we released a number of enhancements to the new Windows Azure Management Portal.  These new capabilities include: Service Bus Management and Monitoring Support for Managing Co-administrators Import/Export support for SQL Databases Virtual Machine Experience Enhancements Improved Cloud Service Status Notifications Media Services Monitoring Support Storage Container Creation and Access Control Support All of these improvements are now live in production and available to start using immediately.  Below are more details on them: Service Bus Management and Monitoring The new Windows Azure Management Portal now supports Service Bus management and monitoring. Service Bus provides rich messaging infrastructure that can sit between applications (or between cloud and on-premise environments) and allow them to communicate in a loosely coupled way for improved scale and resiliency. With the new Service Bus experience, you can now create and manage Service Bus Namespaces, Queues, Topics, Relays and Subscriptions. You can also get rich monitoring for Service Bus Queues, Topics and Subscriptions. To create a Service Bus namespace, you can now select the “Service Bus” tab in the Windows Azure portal and then simply select the CREATE command: Doing so will bring up a new “Create a Namespace” dialog that allows you to name and create a new Service Bus Namespace: Once created, you can obtain security credentials associated with the Namespace via the ACCESS KEY command. This gives you the ability to obtain the connection string associated with the service namespace. You can copy and paste these values into any application that requires these credentials: It is also now easy to create Service Bus Queues and Topics via the NEW experience in the portal drawer.  Simply click the NEW command and navigate to the “App Services” category to create a new Service Bus entity: Once you provision a new Queue or Topic it can be managed in the portal.  Clicking on a namespace will display all queues and topics within it: Clicking on an item in the list will allow you to drill down into a dashboard view that allows you to monitor the activity and traffic within it, as well as perform operations on it. For example, below is a view of an “orders” queue – note how we now surface both the incoming and outgoing message flow rate, as well as the total queue length and queue size: To monitor pub/sub subscriptions you can use the ADD METRICS command within a topic and select a specific subscription to monitor. Support for Managing Co-Administrators You can now add co-administrators for your Windows Azure subscription using the new Windows Azure Portal. This allows you to share management of your Windows Azure services with other users. Subscription co-administrators share the same administrative rights and permissions that service administrator have - except a co-administrator cannot change or view billing details about the account, nor remove the service administrator from a subscription. In the SETTINGS section, click on the ADMINISTRATORS tab, and select the ADD button to add a co-administrator to your subscription: To add a co-administrator, you specify the email address for a Microsoft account (formerly Windows Live ID) or an organizational account, and choose the subscription you want to add them to: You can later update the subscriptions that the co-administrator has access to by clicking on the EDIT button, and then select or deselect the subscriptions to which they belong. Import/Export Support for SQL Databases The Windows Azure administration portal now supports importing and exporting SQL Databases to/from Blob Storage.  Databases can be imported/exported to blob storage using the same BACPAC file format that is supported with SQL Server 2012.  Among other benefits, this makes it easy to copy and migrate databases between on-premise and cloud environments. SQL Databases now have an EXPORT command in the bottom drawer that when pressed will prompt you to save your database to a Windows Azure storage container: The UI allows you to choose an existing storage account or create a new one, as well as the name of the BACPAC file to persist in blob storage: You can also now import and create a new SQL Database by using the NEW command.  This will prompt you to select the storage container and file to import the database from: The Windows Azure Portal enables you to monitor the progress of import and export operations. If you choose to log out of the portal, you can come back later and check on the status of all of the operations in the new history tab of the SQL Database server – this shows your entire import and export history and the status (success/fail) of each: Enhancements to the Virtual Machine Experience One of the common pain-points we have heard from customers using the preview of our new Virtual Machine support has been the inability to delete the associated VHDs when a VM instance (or VM drive) gets deleted. Prior to today’s release the VHDs would continue to be in your storage account and accumulate storage charges. You can now navigate to the Disks tab within the Virtual Machine extension, select a VM disk to delete, and click the DELETE DISK command: When you click the DELETE DISK button you have the option to delete the disk + associated .VHD file (completely clearing it from storage).  Alternatively you can delete the disk but still retain a .VHD copy of it in storage. Improved Cloud Service Status Notifications The Windows Azure portal now exposes more information of the health status of role instances.  If any of the instances are in a non-running state, the status at the top of the dashboard will summarize the status (and update automatically as the role health changes): Clicking the instance hyperlink within this status summary view will navigate you to a detailed role instance view, and allow you to get more detailed health status of each of the instances.  The portal has been updated to provide more specific status information within this detailed view – giving you better visibility into the health of your app: Monitoring Support for Media Services Windows Azure Media Services allows you to create media processing jobs (for example: encoding media files) in your Windows Azure Media Services account. In the Windows Azure Portal, you can now monitor the number of encoding jobs that are queued up for processing as well as active, failed and queued tasks for encoding jobs. On your media services account dashboard, you can visualize the monitoring data for last 6 hours, 24 hours or 7 days. Storage Container Creation and Access Control Support You can now create Windows Azure Storage storage containers from within the Windows Azure Portal.  After selecting a storage account, you can navigate to the CONTAINERS tab and click the ADD CONTAINER command: This will display a dialog that lets you name the new container and control access to it: You can also update the access setting as well as container metadata of existing containers by selecting one and then using the new EDIT CONTAINER command: This will then bring up the edit container dialog that allows you to change and save its settings: In addition to creating and editing containers, you can click on them within the portal to drill-in and view blobs within them.  Summary The above features are all now live in production and available to use immediately.  If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using them today.  Visit the Windows Azure Developer Center to learn more about how to build apps with it. We’ll have even more new features and enhancements coming later this month – including support for the recent Windows Server 2012 and .NET 4.5 releases (we will enable new web and worker role images with Windows Server 2012 and .NET 4.5, and support .NET 4.5 with Websites).  Keep an eye out on my blog for details as these new features become available. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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  • At $20/month Windows Azure host my website with 99.97% uptime

    - by Gopinath
    Couple of years ago a reliable and decent performing Windows hosting was not affordable to many enthusiastic developers who want to try a startup idea or build a hobby site. I tried to start an ASP.NET website few years ago to provide services like – Mobile Tracing, Vehicle Tracing. But due to high cost of Windows hosting I developed those services using PHP (not an easy task for .NET developer) and hosted on them Linux servers.  But with recent evolution of Windows Azure, hosting ASP.NET websites on highly reliable servers is affordable. Today anyone can host a high responsive and available ASP.NET website for just $20/month using Windows Azure. My website coziie.com is running on Windows Azure and serves close to quarter millions visitors a month with 99.97% of uptime and most of the page load times are less than 3 seconds. All I spend to run this website is just around $20, if you translate it to India rupees its roughly Rs.1000. The web sever of coziie.com is powered by a single Extra Small Web role instance and the backend is powered by a SQL Azure instance. Azure is quite impressive to provide 99.97% of uptime. Response times during peak are around 3 seconds and on nomarl loads it is around 1.5 seconds. Here is the report of uptime provided by Royal Pingdom over last one year For just $20/month Windows Azure takes care of the following apart from hosting Patches up Windows OS to the latest version Upgrades ASP.NET to the latest version – coziie.com is running on ASP.NET MVC 3 and soon I’ll upgrade it to ASP.NET MVC 4 Hosts data on latest and best version Sql Server database SQL Azure maintains 3 copies of database and automatically recovers in case of server failures and disasters. I never worry about database backups/restore. Provides staging environment for deploying applications for testing purpose and move them to production – I upgrade  twice a month on average With Windows Azure I no longer focus on server maintenance or data backups. They are taken up by Microsoft team and I just focus on building my website. Wish there is a low cost Linux version of Windows Azure so that I can stop worrying about server maintenance of this blog!! If you are looking for a Windows hosting, look no further than Windows Azure. If you find $20/month is a bit expensive to start with you may explore Azure Website (sort of shared hosted environment) which is free to start with and as your traffic grows you can move to paid hosting.

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  • Windows Azure: Major Updates for Mobile Backend Development

    - by ScottGu
    This week we released some great updates to Windows Azure that make it significantly easier to develop mobile applications that use the cloud. These new capabilities include: Mobile Services: Custom API support Mobile Services: Git Source Control support Mobile Services: Node.js NPM Module support Mobile Services: A .NET API via NuGet Mobile Services and Web Sites: Free 20MB SQL Database Option for Mobile Services and Web Sites Mobile Notification Hubs: Android Broadcast Push Notification Support All of these improvements are now available to use immediately (note: some are still in preview).  Below are more details about them. Mobile Services: Custom APIs, Git Source Control, and NuGet Windows Azure Mobile Services provides the ability to easily stand up a mobile backend that can be used to support your Windows 8, Windows Phone, iOS, Android and HTML5 client applications.  Starting with the first preview we supported the ability to easily extend your data backend logic with server side scripting that executes as part of client-side CRUD operations against your cloud back data tables. With today’s update we are extending this support even further and introducing the ability for you to also create and expose Custom APIs from your Mobile Service backend, and easily publish them to your Mobile clients without having to associate them with a data table. This capability enables a whole set of new scenarios – including the ability to work with data sources other than SQL Databases (for example: Table Services or MongoDB), broker calls to 3rd party APIs, integrate with Windows Azure Queues or Service Bus, work with custom non-JSON payloads (e.g. Windows Periodic Notifications), route client requests to services back on-premises (e.g. with the new Windows Azure BizTalk Services), or simply implement functionality that doesn’t correspond to a database operation.  The custom APIs can be written in server-side JavaScript (using Node.js) and can use Node’s NPM packages.  We will also be adding support for custom APIs written using .NET in the future as well. Creating a Custom API Adding a custom API to an existing Mobile Service is super easy.  Using the Windows Azure Management Portal you can now simply click the new “API” tab with your Mobile Service, and then click the “Create a Custom API” button to create a new Custom API within it: Give the API whatever name you want to expose, and then choose the security permissions you’d like to apply to the HTTP methods you expose within it.  You can easily lock down the HTTP verbs to your Custom API to be available to anyone, only those who have a valid application key, only authenticated users, or administrators.  Mobile Services will then enforce these permissions without you having to write any code: When you click the ok button you’ll see the new API show up in the API list.  Selecting it will enable you to edit the default script that contains some placeholder functionality: Today’s release enables Custom APIs to be written using Node.js (we will support writing Custom APIs in .NET as well in a future release), and the Custom API programming model follows the Node.js convention for modules, which is to export functions to handle HTTP requests. The default script above exposes functionality for an HTTP POST request. To support a GET, simply change the export statement accordingly.  Below is an example of some code for reading and returning data from Windows Azure Table Storage using the Azure Node API: After saving the changes, you can now call this API from any Mobile Service client application (including Windows 8, Windows Phone, iOS, Android or HTML5 with CORS). Below is the code for how you could invoke the API asynchronously from a Windows Store application using .NET and the new InvokeApiAsync method, and data-bind the results to control within your XAML:     private async void RefreshTodoItems() {         var results = await App.MobileService.InvokeApiAsync<List<TodoItem>>("todos", HttpMethod.Get, parameters: null);         ListItems.ItemsSource = new ObservableCollection<TodoItem>(results);     }    Integrating authentication and authorization with Custom APIs is really easy with Mobile Services. Just like with data requests, custom API requests enjoy the same built-in authentication and authorization support of Mobile Services (including integration with Microsoft ID, Google, Facebook and Twitter authentication providers), and it also enables you to easily integrate your Custom API code with other Mobile Service capabilities like push notifications, logging, SQL, etc. Check out our new tutorials to learn more about to use new Custom API support, and starting adding them to your app today. Mobile Services: Git Source Control Support Today’s Mobile Services update also enables source control integration with Git.  The new source control support provides a Git repository as part your Mobile Service, and it includes all of your existing Mobile Service scripts and permissions. You can clone that git repository on your local machine, make changes to any of your scripts, and then easily deploy the mobile service to production using Git. This enables a really great developer workflow that works on any developer machine (Windows, Mac and Linux). To use the new support, navigate to the dashboard for your mobile service and select the Set up source control link: If this is your first time enabling Git within Windows Azure, you will be prompted to enter the credentials you want to use to access the repository: Once you configure this, you can switch to the configure tab of your Mobile Service and you will see a Git URL you can use to use your repository: You can use this URL to clone the repository locally from your favorite command line: > git clone https://scottgutodo.scm.azure-mobile.net/ScottGuToDo.git Below is the directory structure of the repository: As you can see, the repository contains a service folder with several subfolders. Custom API scripts and associated permissions appear under the api folder as .js and .json files respectively (the .json files persist a JSON representation of the security settings for your endpoints). Similarly, table scripts and table permissions appear as .js and .json files, but since table scripts are separate per CRUD operation, they follow the naming convention of <tablename>.<operationname>.js. Finally, scheduled job scripts appear in the scheduler folder, and the shared folder is provided as a convenient location for you to store code shared by multiple scripts and a few miscellaneous things such as the APNS feedback script. Lets modify the table script todos.js file so that we have slightly better error handling when an exception occurs when we query our Table service: todos.js tableService.queryEntities(query, function(error, todoItems){     if (error) {         console.error("Error querying table: " + error);         response.send(500);     } else {         response.send(200, todoItems);     }        }); Save these changes, and now back in the command line prompt commit the changes and push them to the Mobile Services: > git add . > git commit –m "better error handling in todos.js" > git push Once deployment of the changes is complete, they will take effect immediately, and you will also see the changes be reflected in the portal: With the new Source Control feature, we’re making it really easy for you to edit your mobile service locally and push changes in an atomic fashion without sacrificing ease of use in the Windows Azure Portal. Mobile Services: NPM Module Support The new Mobile Services source control support also allows you to add any Node.js module you need in the scripts beyond the fixed set provided by Mobile Services. For example, you can easily switch to use Mongo instead of Windows Azure table in our example above. Set up Mongo DB by either purchasing a MongoLab subscription (which provides MongoDB as a Service) via the Windows Azure Store or set it up yourself on a Virtual Machine (either Windows or Linux). Then go the service folder of your local git repository and run the following command: > npm install mongoose This will add the Mongoose module to your Mobile Service scripts.  After that you can use and reference the Mongoose module in your custom API scripts to access your Mongo database: var mongoose = require('mongoose'); var schema = mongoose.Schema({ text: String, completed: Boolean });   exports.get = function (request, response) {     mongoose.connect('<your Mongo connection string> ');     TodoItemModel = mongoose.model('todoitem', schema);     TodoItemModel.find(function (err, items) {         if (err) {             console.log('error:' + err);             return response.send(500);         }         response.send(200, items);     }); }; Don’t forget to push your changes to your mobile service once you are done > git add . > git commit –m "Switched to use Mongo Labs" > git push Now our Mobile Service app is using Mongo DB! Note, with today’s update usage of custom Node.js modules is limited to Custom API scripts only. We will enable it in all scripts (including data and custom CRON tasks) shortly. New Mobile Services NuGet package, including .NET 4.5 support A few months ago we announced a new pre-release version of the Mobile Services client SDK based on portable class libraries (PCL). Today, we are excited to announce that this new library is now a stable .NET client SDK for mobile services and is no longer a pre-release package. Today’s update includes full support for Windows Store, Windows Phone 7.x, and .NET 4.5, which allows developers to use Mobile Services from ASP.NET or WPF applications. You can install and use this package today via NuGet. Mobile Services and Web Sites: Free 20MB Database for Mobile Services and Web Sites Starting today, every customer of Windows Azure gets one Free 20MB database to use for 12 months free (for both dev/test and production) with Web Sites and Mobile Services. When creating a Mobile Service or a Web Site, simply chose the new “Create a new Free 20MB database” option to take advantage of it: You can use this free SQL Database together with the 10 free Web Sites and 10 free Mobile Services you get with your Windows Azure subscription, or from any other Windows Azure VM or Cloud Service. Notification Hubs: Android Broadcast Push Notification Support Earlier this year, we introduced a new capability in Windows Azure for sending broadcast push notifications at high scale: Notification Hubs. In the initial preview of Notification Hubs you could use this support with both iOS and Windows devices.  Today we’re excited to announce new Notification Hubs support for sending push notifications to Android devices as well. Push notifications are a vital component of mobile applications.  They are critical not only in consumer apps, where they are used to increase app engagement and usage, but also in enterprise apps where up-to-date information increases employee responsiveness to business events.  You can use Notification Hubs to send push notifications to devices from any type of app (a Mobile Service, Web Site, Cloud Service or Virtual Machine). Notification Hubs provide you with the following capabilities: Cross-platform Push Notifications Support. Notification Hubs provide a common API to send push notifications to iOS, Android, or Windows Store at once.  Your app can send notifications in platform specific formats or in a platform-independent way.  Efficient Multicast. Notification Hubs are optimized to enable push notification broadcast to thousands or millions of devices with low latency.  Your server back-end can fire one message into a Notification Hub, and millions of push notifications can automatically be delivered to your users.  Devices and apps can specify a number of per-user tags when registering with a Notification Hub. These tags do not need to be pre-provisioned or disposed, and provide a very easy way to send filtered notifications to an infinite number of users/devices with a single API call.   Extreme Scale. Notification Hubs enable you to reach millions of devices without you having to re-architect or shard your application.  The pub/sub routing mechanism allows you to broadcast notifications in a super-efficient way.  This makes it incredibly easy to route and deliver notification messages to millions of users without having to build your own routing infrastructure. Usable from any Backend App. Notification Hubs can be easily integrated into any back-end server app, whether it is a Mobile Service, a Web Site, a Cloud Service or an IAAS VM. It is easy to configure Notification Hubs to send push notifications to Android. Create a new Notification Hub within the Windows Azure Management Portal (New->App Services->Service Bus->Notification Hub): Then register for Google Cloud Messaging using https://code.google.com/apis/console and obtain your API key, then simply paste that key on the Configure tab of your Notification Hub management page under the Google Cloud Messaging Settings: Then just add code to the OnCreate method of your Android app’s MainActivity class to register the device with Notification Hubs: gcm = GoogleCloudMessaging.getInstance(this); String connectionString = "<your listen access connection string>"; hub = new NotificationHub("<your notification hub name>", connectionString, this); String regid = gcm.register(SENDER_ID); hub.register(regid, "myTag"); Now you can broadcast notification from your .NET backend (or Node, Java, or PHP) to any Windows Store, Android, or iOS device registered for “myTag” tag via a single API call (you can literally broadcast messages to millions of clients you have registered with just one API call): var hubClient = NotificationHubClient.CreateClientFromConnectionString(                   “<your connection string with full access>”,                   "<your notification hub name>"); hubClient.SendGcmNativeNotification("{ 'data' : {'msg' : 'Hello from Windows Azure!' } }", "myTag”); Notification Hubs provide an extremely scalable, cross-platform, push notification infrastructure that enables you to efficiently route push notification messages to millions of mobile users and devices.  It will make enabling your push notification logic significantly simpler and more scalable, and allow you to build even better apps with it. Learn more about Notification Hubs here on MSDN . Summary The above features are now live and available to start using immediately (note: some of the services are still in preview).  If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using them today.  Visit the Windows Azure Developer Center to learn more about how to build apps with it. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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  • Move a SQL Azure server between subscriptions

    - by jamiet
    In September 2011 I published a blog post SSIS Reporting Pack v0.2 now available in which I made available the credentials of a sample database that one could use to test SSIS Reporting Pack. That database was sitting on a paid-for Azure subscription and hence was costing me about £5 a month - not a huge amount but when I later got a free Azure subscription through my MSDN Subscription in January 2012 it made sense to migrate the database onto that subscription. Since then I have been endeavouring to make that move but a few failed attempts combined with lack of time meant that I had not yet gotten round to it.That is until this morning when I heard about a new feature available in the Azure Management Portal that enables one to move a SQL Azure server from one subscription to another. Up to now I had been attempting to use a combination of SSIS packages and/or scripts to move the data but, as I alluded, I ran into a few roadblocks hence the ability to move a SQL Azure server was a godsend to me. I fired up the Azure Management Portal and a few clicks later my server had been successfully migrated, moreover the name of the server doesn't change and neither do any credentials so I have no need to go and update my original blog post either. Its easy to be cynical about SQL Azure (and I maintain a healthy scepticism myself) but that, my friends, is cool!You can read more about the ability to move SQL Azure servers between subscriptions from the official blog post Moving SQL Azure Servers Between Subscriptions.@Jamiet

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  • Azure Diagnostics wrt Custom Logs and honoring scheduledTransferPeriod

    - by kjsteuer
    I have implemented my own TraceListener similar to http://blogs.technet.com/b/meamcs/archive/2013/05/23/diagnostics-of-cloud-services-custom-trace-listener.aspx . One thing I noticed is that that logs show up immediately in My Azure Table Storage. I wonder if this is expected with Custom Trace Listeners or because I am in a development environment. My diagnosics.wadcfg <?xml version="1.0" encoding="utf-8"?> <DiagnosticMonitorConfiguration configurationChangePollInterval="PT1M""overallQuotaInMB="4096" xmlns="http://schemas.microsoft.com/ServiceHosting/2010/10/DiagnosticsConfiguration"> <DiagnosticInfrastructureLogs scheduledTransferLogLevelFilter="Information" /> <Directories scheduledTransferPeriod="PT1M"> <IISLogs container="wad-iis-logfiles" /> <CrashDumps container="wad-crash-dumps" /> </Directories> <Logs bufferQuotaInMB="0" scheduledTransferPeriod="PT30M" scheduledTransferLogLevelFilter="Information" /> </DiagnosticMonitorConfiguration> I have changed my approach a bit. Now I am defining in the web config of my webrole. I notice when I set autoflush to true in the webconfig, every thing works but scheduledTransferPeriod is not honored because the flush method pushes to the table storage. I would like to have scheduleTransferPeriod trigger the flush or trigger flush after a certain number of log entries like the buffer is full. Then I can also flush on server shutdown. Is there any method or event on the CustomTraceListener where I can listen to the scheduleTransferPeriod? <system.diagnostics> <!--http://msdn.microsoft.com/en-us/library/sk36c28t(v=vs.110).aspx By default autoflush is false. By default useGlobalLock is true. While we try to be threadsafe, we keep this default for now. Later if we would like to increase performance we can remove this. see http://msdn.microsoft.com/en-us/library/system.diagnostics.trace.usegloballock(v=vs.110).aspx --> <trace> <listeners> <add name="TableTraceListener" type="Pos.Services.Implementation.TableTraceListener, Pos.Services.Implementation" /> <remove name="Default" /> </listeners> </trace> </system.diagnostics> I have modified the custom trace listener to the following: namespace Pos.Services.Implementation { class TableTraceListener : TraceListener { #region Fields //connection string for azure storage readonly string _connectionString; //Custom sql storage table for logs. //TODO put in config readonly string _diagnosticsTable; [ThreadStatic] static StringBuilder _messageBuffer; readonly object _initializationSection = new object(); bool _isInitialized; CloudTableClient _tableStorage; readonly object _traceLogAccess = new object(); readonly List<LogEntry> _traceLog = new List<LogEntry>(); #endregion #region Constructors public TableTraceListener() : base("TableTraceListener") { _connectionString = RoleEnvironment.GetConfigurationSettingValue("DiagConnection"); _diagnosticsTable = RoleEnvironment.GetConfigurationSettingValue("DiagTableName"); } #endregion #region Methods /// <summary> /// Flushes the entries to the storage table /// </summary> public override void Flush() { if (!_isInitialized) { lock (_initializationSection) { if (!_isInitialized) { Initialize(); } } } var context = _tableStorage.GetTableServiceContext(); context.MergeOption = MergeOption.AppendOnly; lock (_traceLogAccess) { _traceLog.ForEach(entry => context.AddObject(_diagnosticsTable, entry)); _traceLog.Clear(); } if (context.Entities.Count > 0) { context.BeginSaveChangesWithRetries(SaveChangesOptions.None, (ar) => context.EndSaveChangesWithRetries(ar), null); } } /// <summary> /// Creates the storage table object. This class does not need to be locked because the caller is locked. /// </summary> private void Initialize() { var account = CloudStorageAccount.Parse(_connectionString); _tableStorage = account.CreateCloudTableClient(); _tableStorage.GetTableReference(_diagnosticsTable).CreateIfNotExists(); _isInitialized = true; } public override bool IsThreadSafe { get { return true; } } #region Trace and Write Methods /// <summary> /// Writes the message to a string buffer /// </summary> /// <param name="message">the Message</param> public override void Write(string message) { if (_messageBuffer == null) _messageBuffer = new StringBuilder(); _messageBuffer.Append(message); } /// <summary> /// Writes the message with a line breaker to a string buffer /// </summary> /// <param name="message"></param> public override void WriteLine(string message) { if (_messageBuffer == null) _messageBuffer = new StringBuilder(); _messageBuffer.AppendLine(message); } /// <summary> /// Appends the trace information and message /// </summary> /// <param name="eventCache">the Event Cache</param> /// <param name="source">the Source</param> /// <param name="eventType">the Event Type</param> /// <param name="id">the Id</param> /// <param name="message">the Message</param> public override void TraceEvent(TraceEventCache eventCache, string source, TraceEventType eventType, int id, string message) { base.TraceEvent(eventCache, source, eventType, id, message); AppendEntry(id, eventType, eventCache); } /// <summary> /// Adds the trace information to a collection of LogEntry objects /// </summary> /// <param name="id">the Id</param> /// <param name="eventType">the Event Type</param> /// <param name="eventCache">the EventCache</param> private void AppendEntry(int id, TraceEventType eventType, TraceEventCache eventCache) { if (_messageBuffer == null) _messageBuffer = new StringBuilder(); var message = _messageBuffer.ToString(); _messageBuffer.Length = 0; if (message.EndsWith(Environment.NewLine)) message = message.Substring(0, message.Length - Environment.NewLine.Length); if (message.Length == 0) return; var entry = new LogEntry() { PartitionKey = string.Format("{0:D10}", eventCache.Timestamp >> 30), RowKey = string.Format("{0:D19}", eventCache.Timestamp), EventTickCount = eventCache.Timestamp, Level = (int)eventType, EventId = id, Pid = eventCache.ProcessId, Tid = eventCache.ThreadId, Message = message }; lock (_traceLogAccess) _traceLog.Add(entry); } #endregion #endregion } }

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  • The Data Scientist

    - by BuckWoody
    A new term - well, perhaps not that new - has come up and I’m actually very excited about it. The term is Data Scientist, and since it’s new, it’s fairly undefined. I’ll explain what I think it means, and why I’m excited about it. In general, I’ve found the term deals at its most basic with analyzing data. Of course, we all do that, and the term itself in that definition is redundant. There is no science that I know of that does not work with analyzing lots of data. But the term seems to refer to more than the common practices of looking at data visually, putting it in a spreadsheet or report, or even using simple coding to examine data sets. The term Data Scientist (as far as I can make out this early in it’s use) is someone who has a strong understanding of data sources, relevance (statistical and otherwise) and processing methods as well as front-end displays of large sets of complicated data. Some - but not all - Business Intelligence professionals have these skills. In other cases, senior developers, database architects or others fill these needs, but in my experience, many lack the strong mathematical skills needed to make these choices properly. I’ve divided the knowledge base for someone that would wear this title into three large segments. It remains to be seen if a given Data Scientist would be responsible for knowing all these areas or would specialize. There are pretty high requirements on the math side, specifically in graduate-degree level statistics, but in my experience a company will only have a few of these folks, so they are expected to know quite a bit in each of these areas. Persistence The first area is finding, cleaning and storing the data. In some cases, no cleaning is done prior to storage - it’s just identified and the cleansing is done in a later step. This area is where the professional would be able to tell if a particular data set should be stored in a Relational Database Management System (RDBMS), across a set of key/value pair storage (NoSQL) or in a file system like HDFS (part of the Hadoop landscape) or other methods. Or do you examine the stream of data without storing it in another system at all? This is an important decision - it’s a foundation choice that deals not only with a lot of expense of purchasing systems or even using Cloud Computing (PaaS, SaaS or IaaS) to source it, but also the skillsets and other resources needed to care and feed the system for a long time. The Data Scientist sets something into motion that will probably outlast his or her career at a company or organization. Often these choices are made by senior developers, database administrators or architects in a company. But sometimes each of these has a certain bias towards making a decision one way or another. The Data Scientist would examine these choices in light of the data itself, starting perhaps even before the business requirements are created. The business may not even be aware of all the strategic and tactical data sources that they have access to. Processing Once the decision is made to store the data, the next set of decisions are based around how to process the data. An RDBMS scales well to a certain level, and provides a high degree of ACID compliance as well as offering a well-known set-based language to work with this data. In other cases, scale should be spread among multiple nodes (as in the case of Hadoop landscapes or NoSQL offerings) or even across a Cloud provider like Windows Azure Table Storage. In fact, in many cases - most of the ones I’m dealing with lately - the data should be split among multiple types of processing environments. This is a newer idea. Many data professionals simply pick a methodology (RDBMS with Star Schemas, NoSQL, etc.) and put all data there, regardless of its shape, processing needs and so on. A Data Scientist is familiar not only with the various processing methods, but how they work, so that they can choose the right one for a given need. This is a huge time commitment, hence the need for a dedicated title like this one. Presentation This is where the need for a Data Scientist is most often already being filled, sometimes with more or less success. The latest Business Intelligence systems are quite good at allowing you to create amazing graphics - but it’s the data behind the graphics that are the most important component of truly effective displays. This is where the mathematics requirement of the Data Scientist title is the most unforgiving. In fact, someone without a good foundation in statistics is not a good candidate for creating reports. Even a basic level of statistics can be dangerous. Anyone who works in analyzing data will tell you that there are multiple errors possible when data just seems right - and basic statistics bears out that you’re on the right track - that are only solvable when you understanding why the statistical formula works the way it does. And there are lots of ways of presenting data. Sometimes all you need is a “yes” or “no” answer that can only come after heavy analysis work. In that case, a simple e-mail might be all the reporting you need. In others, complex relationships and multiple components require a deep understanding of the various graphical methods of presenting data. Knowing which kind of chart, color, graphic or shape conveys a particular datum best is essential knowledge for the Data Scientist. Why I’m excited I love this area of study. I like math, stats, and computing technologies, but it goes beyond that. I love what data can do - how it can help an organization. I’ve been fortunate enough in my professional career these past two decades to work with lots of folks who perform this role at companies from aerospace to medical firms, from manufacturing to retail. Interestingly, the size of the company really isn’t germane here. I worked with one very small bio-tech (cryogenics) company that worked deeply with analysis of complex interrelated data. So  watch this space. No, I’m not leaving Azure or distributed computing or Microsoft. In fact, I think I’m perfectly situated to investigate this role further. We have a huge set of tools, from RDBMS to Hadoop to allow me to explore. And I’m happy to share what I learn along the way.

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  • Upload File to Windows Azure Blob in Chunks through ASP.NET MVC, JavaScript and HTML5

    - by Shaun
    Originally posted on: http://geekswithblogs.net/shaunxu/archive/2013/07/01/upload-file-to-windows-azure-blob-in-chunks-through-asp.net.aspxMany people are using Windows Azure Blob Storage to store their data in the cloud. Blob storage provides 99.9% availability with easy-to-use API through .NET SDK and HTTP REST. For example, we can store JavaScript files, images, documents in blob storage when we are building an ASP.NET web application on a Web Role in Windows Azure. Or we can store our VHD files in blob and mount it as a hard drive in our cloud service. If you are familiar with Windows Azure, you should know that there are two kinds of blob: page blob and block blob. The page blob is optimized for random read and write, which is very useful when you need to store VHD files. The block blob is optimized for sequential/chunk read and write, which has more common usage. Since we can upload block blob in blocks through BlockBlob.PutBlock, and them commit them as a whole blob with invoking the BlockBlob.PutBlockList, it is very powerful to upload large files, as we can upload blocks in parallel, and provide pause-resume feature. There are many documents, articles and blog posts described on how to upload a block blob. Most of them are focus on the server side, which means when you had received a big file, stream or binaries, how to upload them into blob storage in blocks through .NET SDK.  But the problem is, how can we upload these large files from client side, for example, a browser. This questioned to me when I was working with a Chinese customer to help them build a network disk production on top of azure. The end users upload their files from the web portal, and then the files will be stored in blob storage from the Web Role. My goal is to find the best way to transform the file from client (end user’s machine) to the server (Web Role) through browser. In this post I will demonstrate and describe what I had done, to upload large file in chunks with high speed, and save them as blocks into Windows Azure Blob Storage.   Traditional Upload, Works with Limitation The simplest way to implement this requirement is to create a web page with a form that contains a file input element and a submit button. 1: @using (Html.BeginForm("About", "Index", FormMethod.Post, new { enctype = "multipart/form-data" })) 2: { 3: <input type="file" name="file" /> 4: <input type="submit" value="upload" /> 5: } And then in the backend controller, we retrieve the whole content of this file and upload it in to the blob storage through .NET SDK. We can split the file in blocks and upload them in parallel and commit. The code had been well blogged in the community. 1: [HttpPost] 2: public ActionResult About(HttpPostedFileBase file) 3: { 4: var container = _client.GetContainerReference("test"); 5: container.CreateIfNotExists(); 6: var blob = container.GetBlockBlobReference(file.FileName); 7: var blockDataList = new Dictionary<string, byte[]>(); 8: using (var stream = file.InputStream) 9: { 10: var blockSizeInKB = 1024; 11: var offset = 0; 12: var index = 0; 13: while (offset < stream.Length) 14: { 15: var readLength = Math.Min(1024 * blockSizeInKB, (int)stream.Length - offset); 16: var blockData = new byte[readLength]; 17: offset += stream.Read(blockData, 0, readLength); 18: blockDataList.Add(Convert.ToBase64String(BitConverter.GetBytes(index)), blockData); 19:  20: index++; 21: } 22: } 23:  24: Parallel.ForEach(blockDataList, (bi) => 25: { 26: blob.PutBlock(bi.Key, new MemoryStream(bi.Value), null); 27: }); 28: blob.PutBlockList(blockDataList.Select(b => b.Key).ToArray()); 29:  30: return RedirectToAction("About"); 31: } This works perfect if we selected an image, a music or a small video to upload. But if I selected a large file, let’s say a 6GB HD-movie, after upload for about few minutes the page will be shown as below and the upload will be terminated. In ASP.NET there is a limitation of request length and the maximized request length is defined in the web.config file. It’s a number which less than about 4GB. So if we want to upload a really big file, we cannot simply implement in this way. Also, in Windows Azure, a cloud service network load balancer will terminate the connection if exceed the timeout period. From my test the timeout looks like 2 - 3 minutes. Hence, when we need to upload a large file we cannot just use the basic HTML elements. Besides the limitation mentioned above, the simple HTML file upload cannot provide rich upload experience such as chunk upload, pause and pause-resume. So we need to find a better way to upload large file from the client to the server.   Upload in Chunks through HTML5 and JavaScript In order to break those limitation mentioned above we will try to upload the large file in chunks. This takes some benefit to us such as - No request size limitation: Since we upload in chunks, we can define the request size for each chunks regardless how big the entire file is. - No timeout problem: The size of chunks are controlled by us, which means we should be able to make sure request for each chunk upload will not exceed the timeout period of both ASP.NET and Windows Azure load balancer. It was a big challenge to upload big file in chunks until we have HTML5. There are some new features and improvements introduced in HTML5 and we will use them to implement our solution.   In HTML5, the File interface had been improved with a new method called “slice”. It can be used to read part of the file by specifying the start byte index and the end byte index. For example if the entire file was 1024 bytes, file.slice(512, 768) will read the part of this file from the 512nd byte to 768th byte, and return a new object of interface called "Blob”, which you can treat as an array of bytes. In fact,  a Blob object represents a file-like object of immutable, raw data. The File interface is based on Blob, inheriting blob functionality and expanding it to support files on the user's system. For more information about the Blob please refer here. File and Blob is very useful to implement the chunk upload. We will use File interface to represent the file the user selected from the browser and then use File.slice to read the file in chunks in the size we wanted. For example, if we wanted to upload a 10MB file with 512KB chunks, then we can read it in 512KB blobs by using File.slice in a loop.   Assuming we have a web page as below. User can select a file, an input box to specify the block size in KB and a button to start upload. 1: <div> 2: <input type="file" id="upload_files" name="files[]" /><br /> 3: Block Size: <input type="number" id="block_size" value="512" name="block_size" />KB<br /> 4: <input type="button" id="upload_button_blob" name="upload" value="upload (blob)" /> 5: </div> Then we can have the JavaScript function to upload the file in chunks when user clicked the button. 1: <script type="text/javascript"> 1: 2: $(function () { 3: $("#upload_button_blob").click(function () { 4: }); 5: });</script> Firstly we need to ensure the client browser supports the interfaces we are going to use. Just try to invoke the File, Blob and FormData from the “window” object. If any of them is “undefined” the condition result will be “false” which means your browser doesn’t support these premium feature and it’s time for you to get your browser updated. FormData is another new feature we are going to use in the future. It could generate a temporary form for us. We will use this interface to create a form with chunk and associated metadata when invoked the service through ajax. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: if (window.File && window.Blob && window.FormData) { 4: alert("Your brwoser is awesome, let's rock!"); 5: } 6: else { 7: alert("Oh man plz update to a modern browser before try is cool stuff out."); 8: return; 9: } 10: }); Each browser supports these interfaces by their own implementation and currently the Blob, File and File.slice are supported by Chrome 21, FireFox 13, IE 10, Opera 12 and Safari 5.1 or higher. After that we worked on the files the user selected one by one since in HTML5, user can select multiple files in one file input box. 1: var files = $("#upload_files")[0].files; 2: for (var i = 0; i < files.length; i++) { 3: var file = files[i]; 4: var fileSize = file.size; 5: var fileName = file.name; 6: } Next, we calculated the start index and end index for each chunks based on the size the user specified from the browser. We put them into an array with the file name and the index, which will be used when we upload chunks into Windows Azure Blob Storage as blocks since we need to specify the target blob name and the block index. At the same time we will store the list of all indexes into another variant which will be used to commit blocks into blob in Azure Storage once all chunks had been uploaded successfully. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10:  11: // calculate the start and end byte index for each blocks(chunks) 12: // with the index, file name and index list for future using 13: var blockSizeInKB = $("#block_size").val(); 14: var blockSize = blockSizeInKB * 1024; 15: var blocks = []; 16: var offset = 0; 17: var index = 0; 18: var list = ""; 19: while (offset < fileSize) { 20: var start = offset; 21: var end = Math.min(offset + blockSize, fileSize); 22:  23: blocks.push({ 24: name: fileName, 25: index: index, 26: start: start, 27: end: end 28: }); 29: list += index + ","; 30:  31: offset = end; 32: index++; 33: } 34: } 35: }); Now we have all chunks’ information ready. The next step should be upload them one by one to the server side, and at the server side when received a chunk it will upload as a block into Blob Storage, and finally commit them with the index list through BlockBlobClient.PutBlockList. But since all these invokes are ajax calling, which means not synchronized call. So we need to introduce a new JavaScript library to help us coordinate the asynchronize operation, which named “async.js”. You can download this JavaScript library here, and you can find the document here. I will not explain this library too much in this post. We will put all procedures we want to execute as a function array, and pass into the proper function defined in async.js to let it help us to control the execution sequence, in series or in parallel. Hence we will define an array and put the function for chunk upload into this array. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4:  5: // start to upload each files in chunks 6: var files = $("#upload_files")[0].files; 7: for (var i = 0; i < files.length; i++) { 8: var file = files[i]; 9: var fileSize = file.size; 10: var fileName = file.name; 11: // calculate the start and end byte index for each blocks(chunks) 12: // with the index, file name and index list for future using 13: ... ... 14:  15: // define the function array and push all chunk upload operation into this array 16: blocks.forEach(function (block) { 17: putBlocks.push(function (callback) { 18: }); 19: }); 20: } 21: }); 22: }); As you can see, I used File.slice method to read each chunks based on the start and end byte index we calculated previously, and constructed a temporary HTML form with the file name, chunk index and chunk data through another new feature in HTML5 named FormData. Then post this form to the backend server through jQuery.ajax. This is the key part of our solution. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: blocks.forEach(function (block) { 15: putBlocks.push(function (callback) { 16: // load blob based on the start and end index for each chunks 17: var blob = file.slice(block.start, block.end); 18: // put the file name, index and blob into a temporary from 19: var fd = new FormData(); 20: fd.append("name", block.name); 21: fd.append("index", block.index); 22: fd.append("file", blob); 23: // post the form to backend service (asp.net mvc controller action) 24: $.ajax({ 25: url: "/Home/UploadInFormData", 26: data: fd, 27: processData: false, 28: contentType: "multipart/form-data", 29: type: "POST", 30: success: function (result) { 31: if (!result.success) { 32: alert(result.error); 33: } 34: callback(null, block.index); 35: } 36: }); 37: }); 38: }); 39: } 40: }); Then we will invoke these functions one by one by using the async.js. And once all functions had been executed successfully I invoked another ajax call to the backend service to commit all these chunks (blocks) as the blob in Windows Azure Storage. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.series(putBlocks, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: }); That’s all in the client side. The outline of our logic would be - Calculate the start and end byte index for each chunks based on the block size. - Defined the functions of reading the chunk form file and upload the content to the backend service through ajax. - Execute the functions defined in previous step with “async.js”. - Commit the chunks by invoking the backend service in Windows Azure Storage finally.   Save Chunks as Blocks into Blob Storage In above we finished the client size JavaScript code. It uploaded the file in chunks to the backend service which we are going to implement in this step. We will use ASP.NET MVC as our backend service, and it will receive the chunks, upload into Windows Azure Bob Storage in blocks, then finally commit as one blob. As in the client side we uploaded chunks by invoking the ajax call to the URL "/Home/UploadInFormData", I created a new action under the Index controller and it only accepts HTTP POST request. 1: [HttpPost] 2: public JsonResult UploadInFormData() 3: { 4: var error = string.Empty; 5: try 6: { 7: } 8: catch (Exception e) 9: { 10: error = e.ToString(); 11: } 12:  13: return new JsonResult() 14: { 15: Data = new 16: { 17: success = string.IsNullOrWhiteSpace(error), 18: error = error 19: } 20: }; 21: } Then I retrieved the file name, index and the chunk content from the Request.Form object, which was passed from our client side. And then, used the Windows Azure SDK to create a blob container (in this case we will use the container named “test”.) and create a blob reference with the blob name (same as the file name). Then uploaded the chunk as a block of this blob with the index, since in Blob Storage each block must have an index (ID) associated with so that finally we can put all blocks as one blob by specifying their block ID list. 1: [HttpPost] 2: public JsonResult UploadInFormData() 3: { 4: var error = string.Empty; 5: try 6: { 7: var name = Request.Form["name"]; 8: var index = int.Parse(Request.Form["index"]); 9: var file = Request.Files[0]; 10: var id = Convert.ToBase64String(BitConverter.GetBytes(index)); 11:  12: var container = _client.GetContainerReference("test"); 13: container.CreateIfNotExists(); 14: var blob = container.GetBlockBlobReference(name); 15: blob.PutBlock(id, file.InputStream, null); 16: } 17: catch (Exception e) 18: { 19: error = e.ToString(); 20: } 21:  22: return new JsonResult() 23: { 24: Data = new 25: { 26: success = string.IsNullOrWhiteSpace(error), 27: error = error 28: } 29: }; 30: } Next, I created another action to commit the blocks into blob once all chunks had been uploaded. Similarly, I retrieved the blob name from the Request.Form. I also retrieved the chunks ID list, which is the block ID list from the Request.Form in a string format, split them as a list, then invoked the BlockBlob.PutBlockList method. After that our blob will be shown in the container and ready to be download. 1: [HttpPost] 2: public JsonResult Commit() 3: { 4: var error = string.Empty; 5: try 6: { 7: var name = Request.Form["name"]; 8: var list = Request.Form["list"]; 9: var ids = list 10: .Split(',') 11: .Where(id => !string.IsNullOrWhiteSpace(id)) 12: .Select(id => Convert.ToBase64String(BitConverter.GetBytes(int.Parse(id)))) 13: .ToArray(); 14:  15: var container = _client.GetContainerReference("test"); 16: container.CreateIfNotExists(); 17: var blob = container.GetBlockBlobReference(name); 18: blob.PutBlockList(ids); 19: } 20: catch (Exception e) 21: { 22: error = e.ToString(); 23: } 24:  25: return new JsonResult() 26: { 27: Data = new 28: { 29: success = string.IsNullOrWhiteSpace(error), 30: error = error 31: } 32: }; 33: } Now we finished all code we need. The whole process of uploading would be like this below. Below is the full client side JavaScript code. 1: <script type="text/javascript" src="~/Scripts/async.js"></script> 2: <script type="text/javascript"> 3: $(function () { 4: $("#upload_button_blob").click(function () { 5: // assert the browser support html5 6: if (window.File && window.Blob && window.FormData) { 7: alert("Your brwoser is awesome, let's rock!"); 8: } 9: else { 10: alert("Oh man plz update to a modern browser before try is cool stuff out."); 11: return; 12: } 13:  14: // start to upload each files in chunks 15: var files = $("#upload_files")[0].files; 16: for (var i = 0; i < files.length; i++) { 17: var file = files[i]; 18: var fileSize = file.size; 19: var fileName = file.name; 20:  21: // calculate the start and end byte index for each blocks(chunks) 22: // with the index, file name and index list for future using 23: var blockSizeInKB = $("#block_size").val(); 24: var blockSize = blockSizeInKB * 1024; 25: var blocks = []; 26: var offset = 0; 27: var index = 0; 28: var list = ""; 29: while (offset < fileSize) { 30: var start = offset; 31: var end = Math.min(offset + blockSize, fileSize); 32:  33: blocks.push({ 34: name: fileName, 35: index: index, 36: start: start, 37: end: end 38: }); 39: list += index + ","; 40:  41: offset = end; 42: index++; 43: } 44:  45: // define the function array and push all chunk upload operation into this array 46: var putBlocks = []; 47: blocks.forEach(function (block) { 48: putBlocks.push(function (callback) { 49: // load blob based on the start and end index for each chunks 50: var blob = file.slice(block.start, block.end); 51: // put the file name, index and blob into a temporary from 52: var fd = new FormData(); 53: fd.append("name", block.name); 54: fd.append("index", block.index); 55: fd.append("file", blob); 56: // post the form to backend service (asp.net mvc controller action) 57: $.ajax({ 58: url: "/Home/UploadInFormData", 59: data: fd, 60: processData: false, 61: contentType: "multipart/form-data", 62: type: "POST", 63: success: function (result) { 64: if (!result.success) { 65: alert(result.error); 66: } 67: callback(null, block.index); 68: } 69: }); 70: }); 71: }); 72:  73: // invoke the functions one by one 74: // then invoke the commit ajax call to put blocks into blob in azure storage 75: async.series(putBlocks, function (error, result) { 76: var data = { 77: name: fileName, 78: list: list 79: }; 80: $.post("/Home/Commit", data, function (result) { 81: if (!result.success) { 82: alert(result.error); 83: } 84: else { 85: alert("done!"); 86: } 87: }); 88: }); 89: } 90: }); 91: }); 92: </script> And below is the full ASP.NET MVC controller code. 1: public class HomeController : Controller 2: { 3: private CloudStorageAccount _account; 4: private CloudBlobClient _client; 5:  6: public HomeController() 7: : base() 8: { 9: _account = CloudStorageAccount.Parse(CloudConfigurationManager.GetSetting("DataConnectionString")); 10: _client = _account.CreateCloudBlobClient(); 11: } 12:  13: public ActionResult Index() 14: { 15: ViewBag.Message = "Modify this template to jump-start your ASP.NET MVC application."; 16:  17: return View(); 18: } 19:  20: [HttpPost] 21: public JsonResult UploadInFormData() 22: { 23: var error = string.Empty; 24: try 25: { 26: var name = Request.Form["name"]; 27: var index = int.Parse(Request.Form["index"]); 28: var file = Request.Files[0]; 29: var id = Convert.ToBase64String(BitConverter.GetBytes(index)); 30:  31: var container = _client.GetContainerReference("test"); 32: container.CreateIfNotExists(); 33: var blob = container.GetBlockBlobReference(name); 34: blob.PutBlock(id, file.InputStream, null); 35: } 36: catch (Exception e) 37: { 38: error = e.ToString(); 39: } 40:  41: return new JsonResult() 42: { 43: Data = new 44: { 45: success = string.IsNullOrWhiteSpace(error), 46: error = error 47: } 48: }; 49: } 50:  51: [HttpPost] 52: public JsonResult Commit() 53: { 54: var error = string.Empty; 55: try 56: { 57: var name = Request.Form["name"]; 58: var list = Request.Form["list"]; 59: var ids = list 60: .Split(',') 61: .Where(id => !string.IsNullOrWhiteSpace(id)) 62: .Select(id => Convert.ToBase64String(BitConverter.GetBytes(int.Parse(id)))) 63: .ToArray(); 64:  65: var container = _client.GetContainerReference("test"); 66: container.CreateIfNotExists(); 67: var blob = container.GetBlockBlobReference(name); 68: blob.PutBlockList(ids); 69: } 70: catch (Exception e) 71: { 72: error = e.ToString(); 73: } 74:  75: return new JsonResult() 76: { 77: Data = new 78: { 79: success = string.IsNullOrWhiteSpace(error), 80: error = error 81: } 82: }; 83: } 84: } And if we selected a file from the browser we will see our application will upload chunks in the size we specified to the server through ajax call in background, and then commit all chunks in one blob. Then we can find the blob in our Windows Azure Blob Storage.   Optimized by Parallel Upload In previous example we just uploaded our file in chunks. This solved the problem that ASP.NET MVC request content size limitation as well as the Windows Azure load balancer timeout. But it might introduce the performance problem since we uploaded chunks in sequence. In order to improve the upload performance we could modify our client side code a bit to make the upload operation invoked in parallel. The good news is that, “async.js” library provides the parallel execution function. If you remembered the code we invoke the service to upload chunks, it utilized “async.series” which means all functions will be executed in sequence. Now we will change this code to “async.parallel”. This will invoke all functions in parallel. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.parallel(putBlocks, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: }); In this way all chunks will be uploaded to the server side at the same time to maximize the bandwidth usage. This should work if the file was not very large and the chunk size was not very small. But for large file this might introduce another problem that too many ajax calls are sent to the server at the same time. So the best solution should be, upload the chunks in parallel with maximum concurrency limitation. The code below specified the concurrency limitation to 4, which means at the most only 4 ajax calls could be invoked at the same time. 1: $("#upload_button_blob").click(function () { 2: // assert the browser support html5 3: ... ... 4: // start to upload each files in chunks 5: var files = $("#upload_files")[0].files; 6: for (var i = 0; i < files.length; i++) { 7: var file = files[i]; 8: var fileSize = file.size; 9: var fileName = file.name; 10: // calculate the start and end byte index for each blocks(chunks) 11: // with the index, file name and index list for future using 12: ... ... 13: // define the function array and push all chunk upload operation into this array 14: ... ... 15: // invoke the functions one by one 16: // then invoke the commit ajax call to put blocks into blob in azure storage 17: async.parallelLimit(putBlocks, 4, function (error, result) { 18: var data = { 19: name: fileName, 20: list: list 21: }; 22: $.post("/Home/Commit", data, function (result) { 23: if (!result.success) { 24: alert(result.error); 25: } 26: else { 27: alert("done!"); 28: } 29: }); 30: }); 31: } 32: });   Summary In this post we discussed how to upload files in chunks to the backend service and then upload them into Windows Azure Blob Storage in blocks. We focused on the frontend side and leverage three new feature introduced in HTML 5 which are - File.slice: Read part of the file by specifying the start and end byte index. - Blob: File-like interface which contains the part of the file content. - FormData: Temporary form element that we can pass the chunk alone with some metadata to the backend service. Then we discussed the performance consideration of chunk uploading. Sequence upload cannot provide maximized upload speed, but the unlimited parallel upload might crash the browser and server if too many chunks. So we finally came up with the solution to upload chunks in parallel with the concurrency limitation. We also demonstrated how to utilize “async.js” JavaScript library to help us control the asynchronize call and the parallel limitation.   Regarding the chunk size and the parallel limitation value there is no “best” value. You need to test vary composition and find out the best one for your particular scenario. It depends on the local bandwidth, client machine cores and the server side (Windows Azure Cloud Service Virtual Machine) cores, memory and bandwidth. Below is one of my performance test result. The client machine was Windows 8 IE 10 with 4 cores. I was using Microsoft Cooperation Network. The web site was hosted on Windows Azure China North data center (in Beijing) with one small web role (1.7GB 1 core CPU, 1.75GB memory with 100Mbps bandwidth). The test cases were - Chunk size: 512KB, 1MB, 2MB, 4MB. - Upload Mode: Sequence, parallel (unlimited), parallel with limit (4 threads, 8 threads). - Chunk Format: base64 string, binaries. - Target file: 100MB. - Each case was tested 3 times. Below is the test result chart. Some thoughts, but not guidance or best practice: - Parallel gets better performance than series. - No significant performance improvement between parallel 4 threads and 8 threads. - Transform with binaries provides better performance than base64. - In all cases, chunk size in 1MB - 2MB gets better performance.   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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  • Windows Azure - access webrole local storage from separate workerrole

    - by Brett Smith
    I'm running an application on windows azure, the MVC views need to be dynamic, I started by storing them as records in the database, but am quite keen to move them to a physical location. My concept was to create the physical file via code... which worked great and speeds up the page load dramatically. This was of course before I realised that the files were only available for the duration of the role Next I looked at a start up task to create the files when the role was started - however I then realised that any separate instances weren't going to sync up unless I monitored the database for changes. So I moved from a start up task to a function in the run method of the role that checks the database every 10 minutes to see if changes have occurred. The problem is that this seems to choke up the application (at least in the warm up stage). Ideally I would like to move the run function to it's own worker role that can sit there and push files out to web role instances, but I'm unsure on how I would go about accessing the web roles local storage from the worker role. Can anybody tell me whether this is actually possible? and hopefully point me in the right direction to achieve this? Just to clarify what I'm trying to achieve -View is created in user interface running on web role and stored in database -Separate web role (front end) has clientside application with virtualpath provider pointing Views requests to local storage (localresource) -separate worker role to create View structure and load this into clientside web role local storage

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  • SQL SERVER – Generate Database Script for SQL Azure

    - by pinaldave
    When talking about SQL Azure the common complain I hear is that the script generated from stand-along SQL Server database is not compatible with SQL Azure. This was true for some time for sure but not any more. If you have SQL Server 2008 R2 installed you can follow the guideline below to generate script which is compatible with SQL Azure. As above images are very clear I will not write more about them. SQL Azure does not support filegroups. Let us generate script for any table created on PRIMARY filegroup for standalong SQL Server and compare it with the script generated for SQL Azure. You can clearly see that there is no filegroup in the code generated for SQL Azure. Give it a try and please your comment here about what do you think about the same. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Add-On, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Azure

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  • What's In Storage?

    - by [email protected]
    Oracle Flies South for Storage Networking Event Storage Networking World (now simply called SNW) is the place you'll find the most-comprehensive education on storage, infrastructure, and the datacenter in the spring of 2010. It's also the place where you'll see Oracle. During the April 12-15 event in Orlando, Florida, the industry's premiere presentations on storage trends and best practices are combined with hands-on labs covering storage management and IP storage. You'll also have the opportunity to learn about Oracle's Sun storage solutions, from Flash and open storage to enterprise disk and tape. Plus, if you stop by booth 207 in the expo hall, you might walk away with a bookish prize: an Amazon Kindle, courtesy of Oracle. Proving, once again, that education can be quite rewarding.

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  • Controlling azure worker roles concurrency in multiple instance

    - by NER1808
    I have a simple work role in azure that does some data processing on an SQL azure database. The worker basically adds data from a 3rd party datasource to my database every 2 minutes. When I have two instances of the role, this obviously doubles up unnecessarily. I would like to have 2 instances for redundancy and the 99.95 uptime, but do not want them both processing at the same time as they will just duplicate the same job. Is there a standard pattern for this that I am missing? I know I could set flags in the database, but am hoping there is another easier or better way to manage this. Thanks

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  • SyncToBlog #10 Lots of Azure and Cloud Links including MIX10 videos

    - by Eric Nelson
    Just getting a few interesting cloud links “down on paper”. I last did one of these on Azure in Feb 20010. Cloud Links: Article on Debugging in the Cloud http://code.msdn.microsoft.com/azurescale  A sample app that demonstrates monitoring and automatically scaling an Azure application in response to dropping performance etc. Basically a console app that checks perf stats and then uses the Service Management API to spin up new instances when needed. Azure In Action book is imminent :) Running Memcached in Windows Azure from the MS UK team Using Microsoft Codename Dallas as a data source for Drupal also from the MS UK team I often mention them – but this post is the biz! Metodi on fault and upgrade domains Detailed blog post on comparing Azure AppFabric Service Bus REST support to the free Faye Ruby+JavaScript gem that implements the JSON publish/subscribe protocol Bayeux. AppFabric LABS allow you to test out and play with experimental AppFabric technologies. Details of the upcoming VM support in Windows Azure Nice series of posts from J D Meier in the Patterns and Practice team How To Use ASP.NET Forms Auth with Azure Tables  How To Use ASP.NET Forms Auth with Roles in Azure Tables How To Use ASP.NET Forms Auth with SQL Server on Windows Azure And sessions from MIX10 held March 15th to 17th: Lap around the Windows Azure Platform – Steve Marx Building and Deploying Windows Azure Based Applications with Microsoft Visual Studio 2010 – Jim Nakashima Building PHP Applications using the Windows Azure Platform – Craig Kitterman, Sumit Chawla Using Ruby on Rails to Build Windows Azure Applications – Sriram Krishnan Microsoft Project Code Name “Dallas": Data for your apps – Moe Khosravy Using Storage in the Windows Azure Platform – Chris Auld Building Web Applications with Windows Azure Storage – Brad Calder Building Web Application with Microsoft SQL Azure – David Robinson Connecting Your Applications in the Cloud with Windows Azure AppFabric – Clemens Vasters Microsoft Silverlight and Windows Azure: A Match Made for the Web – Matt Kerner Something for everyone :)

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  • Free Windows Azure event next Monday in London (29th March)

    - by Eric Nelson
    I just heard that we still have spaces for this event happening next week (29th March 2010). Whilst the event is designed for start-ups, I’m sure nobody would notice if you snuck in :-) Just keep it to yourself ;-) Register using invitation code: 79F2AB. Hope to see you there. The agenda is looking pretty swish: 09:00 – 09:30 Registration 09:30 - 10:15 Keynote  ‘I’ve looked at clouds from both sides now....’– John Taysom, Active Seed Investor 10:15 - 10:45   The Microsoft Vision for Cloud Computing – Steve Clayton, Director Software + Services, EMEA 10:45 - 11:00   Break 11:00 - 12:30 “Windows Azure in Real World” – hear from startups that have built their business around the Azure platform, moderated by Alistair Beagley, Azure UK Developer and Platform Lead 12:30 - 13:15 Lunch and networking  13:15 - 14:15  Breakout Tracks, moderated by our Azure Experts 1. Windows Azure Technical Overview - David Gristwood, Application Architect, Microsoft 2. SQL Azure Technical Overview – Eric Nelson, Application Architect, Microsoft 3. Commercial insight into Windows Azure and what this means for BizSpark Start-ups - Simon Karn, Commercial Lead, UK Windows Azure Incubation Team, Microsoft 14:15 - 14:30 Session change over 14:30 - 15:30   Breakout Tracks, moderated by our Azure Experts 1. SQL Azure Technical Overview (repeat) - Eric Nelson, Application Architect, Microsoft 2. Deep dive into Windows Azure – Neil Kidd, Architect, Microsoft Technology Centre 3. Lessons Learnt - Windows Azure in the Real World interactive session – Two customers hosted by Matt Deacon, Enterprise Architect, Microsoft 15:30 - 16:00 Break & Session change over 16:00 - 17:00 Breakout Tracks, moderated by our Azure Experts 1. PHP / Ruby on Azure Simon Davies, Architect, UK Windows Azure Incubation Team, Microsoft 2. Commercial insight into Windows Azure and what this means for BizSpark Start-ups (repeat) - Simon Karn, Commercial Lead, UK Windows Azure Incubation Team, Microsoft 3. Lessons Learnt - Windows Azure in the Real World interactive session #2 Two customers hosted by Matt Deacon, Enterprise Architect, Microsoft 17:00 - 18:00 Pitches and Judging 18:15 Wrap-up and close 18:15 - 20:00 Drinks & Networking

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  • The Low Down Dirty Azure Blues

    - by SGWellens
    Remember the SETI screen savers that used to be on everyone's computer? As far I as know, it was the first bona-fide use of "Cloud" computing…albeit an ad hoc cloud. I still think it was a brilliant leveraging of computing power. My interest in clouds was re-piqued when I went to a technical seminar at the local .Net User Group. The speaker was Mike Benkovitch and he expounded magnificently on the virtues of the Azure platform. Mike always does a good job. One killer reason he gave for cloud computing is instant scalability. Not applicable for most applications, but it is there if needed. I have a bunch of files stored on Microsoft's SkyDrive platform which is cloud storage. It is painfully slow. Accessing a file means going through layers and layers of software, redirections and security. Am I complaining? Hell no! It's free! So my opinions of Cloud Computing are both skeptical and appreciative. What intrigued me at the seminar, in addition to its other features, is that Azure can serve as a web hosting platform. I have a client with an Asp.Net web site I developed who is not happy with the performance of their current hosting service. I checked the cost of Azure and since the site has low bandwidth/space requirements the cost would be competitive with the existing host provider: Azure Pricing Calculator. And, Azure has a three month free trial. Perfect! I could try moving the website and see how it works for free. I went through the signup process. Everything was proceeding fine until I went to the MS SQL database management screen. A popup window informed me that I needed to install Silverlight on my machine. Silverlight? No thanks. Buh-Bye. I half-heartedly found the Azure support button and logged a ticket telling them I didn't want Silverlight on my machine. Within 4 to 6 hours (and a myriad (5) of automated support emails) they sent me a link to a database management page that did not require Silverlight. Thanks! I was able to create a database immediately. One really nice feature was that after creating the database, I was given a list of connection strings. I went to the current host provider, made a backup of the database and saved it to my machine. I attached to the remote database using SQL Server Studio 2012 and looked for the Restore menu item. It was missing. So I tried using the SQL command: RESTORE DATABASE MyDatabase FROM DISK ='C:\temp\MyBackup.bak' Msg 40510, Level 16, State 1, Line 1 Statement 'RESTORE DATABASE' is not supported in this version of SQL Server. Are you kidding me? Why on earth…? This can't be happening! I opened both the source database and destination database in SQL Management Studio. I right clicked the source database, selected "Tasks" and noticed a menu selection called "Deploy Database to SQL Azure" Are you kidding me? Could it be? Oh yes, it be! There was a small problem because the database already existed on the Azure machine, I deployed to a new name, deleted the existing database and renamed the deployed database to what I needed. It was ridiculously easy. Being able to attach SQL Management Studio to remote databases is an awesome but scary feature. You can limit the IP addresses that can access the database which enhances security but when you give people, any people, me included, that much power, one errant mouse click could bring a live system down. My Advice: Tread softly and carry a large backup thumb-drive. Then I created a web site, the URL it returned look something like this: http://MyWebSite.azurewebsites.net/ Azure supports FTP, but I couldn't figure out the settings until I downloaded the publishing profile. It was an XML file that contained the needed information. I still couldn't connect with my FTP client (FileZilla). After about an hour of messing around, I deleted the port number from the FileZilla setup page….and voila, I was in like Flynn.   There are other options of deploying directly from Visual Studio, TFS, etc. but I do not like integrated tools that do things without my asking: It's usually hard to figure out what they did and how to undo it. I uploaded the aspx , cs , webconfig, etc. files. Bu it didn't run. The site I ported was in .NET 3.5. The Azure website configuration page gave me a choice between .NET 2.0 and 4.0. So, I switched to Visual Studio 2010, chose .NET 4.0 and upgraded the site. Of course I have the original version completely backed up and stored in a granite cave beneath the Nevada desert. And I have a backup CD under my pillow. The site uses ReportViewer to generate PDF documents. Of course it was the wrong version. I removed the old references to version 9 and added new references to version 10 (*see note below). Since the DLLs were not on the Azure Server, I uploaded them to the bin directory, crossed my fingers, burned some incense and gave it a try. After some fiddling around it ran. I don't know if I did anything particular to make it work or it just needed time to sort things out. However, one critical feature didn't work: ReportViewer could not programmatically generate PDF documents. I was getting this exception: "An error occurred during local report processing. Parameter is not valid." Rats. I did some searching and found other people were having the same problem, so I added a post saying I was having the same problem: http://social.msdn.microsoft.com/Forums/en-US/windowsazurewebsitespreview/thread/b4a6eb43-0013-435f-9d11-00ee26a8d017 Currently they are looking into this problem and I am waiting for the results. Hence I had the time to write this BLOG entry. How lucky you are. This was the last message I got from the Microsoft person: Hi Steve, Windows Azure Web Sites is a multi-tenant environment. For security issue, we limited some API calls. Unfortunately, some GDI APIS required by the PDF converting function are in this list. We have noticed this issue, and still investigation the best way to go. At this moment, there is no news to share. Sorry about this. Will keep you posted. If I had to guess, I would say they are concerned with people uploading images and doing intensive graphics programming which would hog CPU time.  But that is just a guess. Another problem. While trying to resolve the ReportViewer problem, I tried to write a file to the PDF directory to see if there was a permissions problem with some test code: String MyPath = MapPath(@"~\PDFs\Test.txt"); File.WriteAllText(MyPath, "Hello Azure");     I got this message: Access to the path <my path> is denied. After some research, I understood that since Azure is a cloud based platform, it can't allow web applications to save files to local directories. The application could be moved or replicated as scaling occurs and trying to manage local files would be problematic to say the least. There are other options: Use the Azure APIs to get a path. That way the location of the storage is separated from the application. However, the web site is then tied Azure and can't be moved to another hosting platform. Use the ApplicationData folder (not recommended). Write to BLOB storage. Or, I could try and stream the PDF output directly to the email and not save a file. I'm not going to work on a final solution until the ReportViewer is fixed. I am just sharing some of the things you need to be aware of if you decide to use Azure. I got this information from here. (Note the author of the BLOG added a comment saying he has updated his entry). Is my memory faulty? While getting this BLOG ready, I tried to write the test file again. And it worked. My memory is incorrect, or much more likely, something changed on the server…perhaps while they are trying to get ReportViewer to work. (Anyway, that's my story and I'm sticking to it). *Note: Since Visual Studio 2010 Express doesn't include a Report Editor, I downloaded and installed SQL Server Report Builder 2.0. It is a standalone Report Editor to replace the one not in Visual Studio 2010 Express. I hope someone finds this useful. Steve Wellens CodeProject

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  • Azure Table Storage rejects an entity with a Property whose value is an Interface

    - by Andrew B Schultz
    I have a type called "Comment" that I'm saving to Azure Table Storage. Since a comment can be about any number of other types, I created an interface which all of these types implement, and then put a property of type ICommentable on the comment. So Comment has a property called About of type ICommentable. When I try to save a Comment to Azure Table Storage, if the Comment.About property has a value, I get the worthless invalid input error. However, if there is no value for Comment.About, I have no problem. Why would this be? Comment.About is not the only property that is a reference type. For example, Comment.From is a reference type, but the Comment.About is the only property of a type that is an interface. Fails: var comment = new Comment(); comment.CommentText = "It fails!"; comment.PartitionKey = "TEST"; comment.RowKey = "TEST123"; comment.About = sow1; comment.From = person1; Works: var comment = new Comment(); comment.CommentText = "It works!"; comment.PartitionKey = "TEST"; comment.RowKey = "TEST123"; //comment.About = sow1; comment.From = person1; Thanks!

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  • Upcoming presentations by me at Windows Azure Events

    - by ScottGu
    I recently blogged about a big wave of improvements we recently released for Windows Azure.  I also delivered a keynote on June 7th that discussed and demoed the enhancements – you can watch a recorded version of it online. Over the next few weeks I’ll be doing several more speaking events about Windows Azure in North America and Europe.  Below are details on some of the upcoming the events and how you can sign-up to attend one in person: Scottsdale, Arizona on June 19th, 2012 Attend this FREE all-day event in Scottsdale, Arizona on Tuesday, June 19th to learn more about Windows Azure, ASP.NET, Web API and SignalR.  I’ll be doing a 2 hour presentation on Windows Azure, followed by Scott Hanselman on ASP.NET and Web API, and Brady Gaster on SignalR.  Learn more about the event and register to attend here. Cambridge, United Kingdom on June 21st, 2012 Attend this FREE two-hour event in Cambridge (UK) the evening of Thursday, June 21st.  I’ll be covering the new Windows Azure release – expects lots of demos and audience participation. Learn more about the event and register to attend here. London, United Kingdom on June 22nd, 2012 Attend the FREE all-day Microsoft Cloud Day conference in London (UK) on Friday, June 22nd to learn about Windows Azure and Windows 8.  I’ll be kicking off the event with a two hour keynote, and will be followed by some other fantastic speakers. Learn more about the conference and register to attend here. TechEd Europe in Amsterdam, Netherlands on June 26th, 2012 I’ll be at TechEd Europe this year where I’ll be presenting on Windows Azure.  I’ll be in the general session keynote and also have a foundation track session on Windows Azure on Tuesday, June 26th. Learn more about TechEd Europe and register to attend here. Amsterdam, Netherlands on June 26th, 2012 Not attending TechEd Europe but near Amsterdam and still want to see me talk?  The good news is that the leaders of the Windows Azure User Group NL have setup a FREE event during the evening of Tuesday, June 26th where I’ll be presenting along with Clemens Vasters. Learn more about the event and register to attend here. Dallas, Texas on July 10th, 2012 I’ll be in Dallas, Texas on Tuesday, July 10th and presenting at a FREE all day Microsoft Cloud Summit.  I’ll kick off the day with a keynote, which will be followed by a great set of additional Windows Azure talks as well as a “Grill the Gu” Q&A session with me over lunch. Learn more about the event and register to attend here. Additional Events I’ll be doing many more events and talks in the months ahead – I’ll blog details of additional conferences/events I’m doing as they are fixed. Hope to see some of you at the above ones! Scott

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  • Keeping your options open in a cloud solution

    - by BuckWoody
    In on-premises solutions we have the full range of options open for a given computing solution – but we don’t always take advantage of them, for multiple reasons. Data goes in a Relational Database Management System, files go on a share, and e-mail goes to the Exchange server. Over time, vendors (including ourselves) add in functionality to one product that allow non-standard use of the platform. For example, SQL Server (and Oracle, and others) allow large binary storage in or through the system – something not originally intended for an RDBMS to handle. There are certainly times when this makes sense, of course, but often these platform hammers turn every problem into a nail. It can make us “lazy” in our design – we sometimes don’t take the time to learn another architecture because the one we’ve spent so much time with can handle what we want to do. But there’s a distinct danger here. In nature, when a population shares too many of the same traits, it can cause a complete collapse if a situation exploits a weakness shared by that population. The same is true with not using the righttool for the job in a computing environment. Your company or organization depends on your knowledge as a professional to select the best mix of supportable, flexible, cost-effective technologies to solve their problems, whether you’re in an architect role or not.  So take some time today to learn something new. The way I do this is to select a given problem, and try to solve it with a technology I’m not familiar with. For instance – create a Purchase Order system in Excel, then in Hadoop or MongoDB, or even in flat-files using PowerShell as an interface. No, I’m not suggesting any of these architectures are the proper way to solve the PO problem, but taking something concrete that you know well and applying that meta-knowledge to another platform will assist you in exercising the “little grey cells” and help you and your organization understand what is open to you. And of course you can do all of this on-premises – but my recommendation is to check out a cloud platform (my suggestion would of course be Windows Azure :) ) and try it there. Most providers (including Microsoft) provide free time to do that.

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  • Azure flexibility in geolocation and specs

    - by bitbitbit
    Hi, I'm reading about Azure and there are a couple of things I don't understand: If I choose put a server on Europe, why can't I move it to another datacenter afterwards? If I choose a size for a worker/web role, could I upgrade it to a bigger one afterwards? I think I've read that I cannot put different instances of a worker/web role with different sizes working together? Am I right? And in affirmative case, why? What is cheaper? a big VM with a nicely multithreaded worker role or multiple single-threaded worker roles in several small VMs? Thanks in advance.

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  • Azure Blobs - ArgumentNullException when calling UploadFile()

    - by Ariel
    I’m getting the following exception when trying to upload a file with the following code: string encodedUrl = "videos/Sample.mp4" CloudBlockBlob encodedVideoBlob = blobClient.GetBlockBlobReference(encodedUrl); Log(string.Format("Got blob reference for {0}", encodedUrl), EventLogEntryType.Information); encodedVideoBlob.Properties.ContentType = contentType; encodedVideoBlob.Metadata[BlobProperty.Description] = description; encodedVideoBlob.UploadFile(localEncodedBlobPath); I see the "Got blob reference" message, so I assume the reference resolves correctly. Void Run() C:\Inter\Projects\PoC\WorkerRole\WorkerRole.cs (40) System.ArgumentNullException: Value cannot be null. Parameter name: value at Microsoft.WindowsAzure.StorageClient.Tasks.Task`1.get_Result() at Microsoft.WindowsAzure.StorageClient.Tasks.Task`1.ExecuteAndWait() at Microsoft.WindowsAzure.StorageClient.CloudBlob.UploadFromStream(Stream source, BlobRequestOptions options) at Microsoft.WindowsAzure.StorageClient.CloudBlob.UploadFile(String fileName, BlobRequestOptions options) at EncoderWorkerRole.WorkerRole.ProcessJobOutput(IJob job, String videoBlobToEncodeUrl) in C:\Inter\Projects\PoC\WorkerRole\WorkerRole.cs:line 144 at EncoderWorkerRole.WorkerRole.Run() in C:\Inter\Projects\PoC\WorkerRole\WorkerRole.cs:line 40 Interestingly, I'm running that same snippet from an on-premises server i.e., outside of Azure and it works correctly. Ideas welcome, thanks!

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  • SQLAuthority News – Storage and SQL Server Capacity Planning and configuration – SharePoint Server 2

    - by pinaldave
    Just a day ago, I was asked how do you plan SQL Server Storage Capacity. Here is the excellent article published by Microsoft regarding SQL Server capacity planning for SharePoint 2010. This article touches all the vital areas of this subject. Here are the bullet points for the same. Gather storage and SQL Server space and I/O requirements Choose SQL Server version and edition Design storage architecture based on capacity and IO requirements Determine memory requirements Understand network topology requirements Configure SQL Server Validate storage performance and reliability Read the original article published by Microsoft here: Storage and SQL Server Capacity Planning and configuration – SharePoint Server 2010. The question to all the SharePoint developers and administrator that if they use the whitepapers and articles to decide the capacity or they just start with application and as they progress they plan the storage? Please let me know your opinion. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: SQL, SQL Authority, SQL Data Storage, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology Tagged: SharePoint

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