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  • Azure Service Bus and C#


    Azure Service bus is a message broker generally used for sharing messages between applications. In this article, we’re gonna see an introduction to Azure Service Bus, and how to work with it with .NET and C#

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    Azure Service Bus is a message broker that allows you to implement queues and pub-subs topics. It is incredibly common to use queues to manage the communication between microservices: it is a simple way to send messages between applications without bind them tightly.

    In this introduction, we’re going to learn the basics of Azure Service Bus: what it is, how to create a Bus and a Queue, how to send and receive messages on the Bus with C#, and more.

    This is the first part of a series about Azure Service Bus. We will see:

    1. An introduction to Azure Service Bus with C#
    2. Queues vs Topics
    3. Handling Azure Service Bus errors with .NET

    But, for now, let’s start from the basics.

    What is Azure Service Bus?

    Azure Service Bus is a complex structure that allows you to send content through a queue.

    As you may already know, a queue is… well, a queue! First in, first out!

    This means that the messages will be delivered in the same order as they were sent.

    Queue of penguins

    Why using a queue is becoming more and more common, for scalable applications?
    Let’s consider this use case: you are developing a microservices-based application. With the common approach, communication occurs via HTTP: this means that

    • if the receiver is unreachable, the HTTP message is lost (unless you add some kind of retry policy)
    • if you have to scale out, you will need to add a traffic manager/load balancer to manage which instance must process the HTTP Request

    On the contrary, by using a queue,

    • if the receiver is down, the message stays in the queue until the receiver becomes available again
    • if you have to scale out, nothing changes, because the first instance that receives the message removes it from the queue, so you will not have multiple receivers that process the same message.

    How to create an Azure Service Bus instance

    It is really simple to create a new Service Bus on Azure!

    Just open Portal Azure, head to the Service Bus section, and start creating a new resource.

    You will be prompted to choose which subscription will be linked to this new resource, and what will be the name of that resource.

    Lastly, you will have to choose which will be the pricing tier to apply.

    Service Bus creation wizard on Azure UI

    There are 3 pricing tiers available:

    • Basic: its price depends on how many messages you send. At the moment of writing, with Basic tier you pay 0.05$ for every million messages sent.
    • Standard: Similar to the Basic tier, but allows you to have both Queues and Topics. You’ll see the difference between Queue and Topics in the next article
    • Premium: zone-redundant, with both Queues and Topics; of course, quite expensive

    So now, you can create the resource and see it directly on the browser.

    Policies and Connection Strings

    The first thing to do to connect to the Azure Service Bus is to create a Policy that allows you to perform specific operations on the Bus.

    By default, under the Shared access policies tab you’ll see a policy called RootManageSharedAccessKey: this is the default Policy that allows you to send and receive messages on the Bus.

    To get the connection string, click on that Policy and head to Primary Connection String:

    How to define Service Bus Policy via UI

    A connection string for the Service Bus looks like this:

    Endpoint=sb://c4it-testbus.servicebus.windows.net/;SharedAccessKeyName=RootManageSharedAccessKey;SharedAccessKey=my-secret-key
    

    Let’s break it down:

    The first part represents the Host name: this is the value you’ve set in the creation wizard, and the one you can see on the Overview tab:

    Service Bus instance Host name

    Then, you’ll see the SharedAccessKeyName field, which contains the name of the policy to use (in this case, RootManageSharedAccessKey).

    Then, we have the secret Key. If you select the Primary Connection String you will use the Primary Key; same if you use the Secondary Connection String.

    Keep that connection string handy, we’re gonna use it in a moment!

    Adding a queue

    Now that we have created the general infrastructure, we need to create a Queue. This is the core of the bus – all the messages pass through a queue.

    To create one, on the Azure site head to Entities > Queues and create a new queue.

    You will be prompted to add different values, but for now, we are only interested in defining its name.

    Write the name of the queue and click Create.

    Create queue panel on Azure UI

    Once you’ve created your queue (for this example, I’ve named it PizzaOrders), you’ll be able to see it in the Queues list and see its details.

    You can even define one or more policies for that specific queue just as we did before: you’ll be able to generate a connection string similar to the one we’ve already analyzed, with the only difference that, here, you will see a new field in the connection string, EntityPath, whose value is the name of the related queue.

    So, a full connection string will have this form:

    Service Bus connection string breakdown

    ServiceBusExplorer – and OSS UI for accessing Azure Service Bus

    How can you see what happens inside the Service Bus?

    You have two options: use the Service Bus Explorer tool directly on Azure:

    Service Bus Explorer on Azure UI

    Or use an external tool.

    I honestly prefer to use ServiceBusExplorer, a project that you can download from Chocolatey: this open source tool allows you to see what is happening inside Azure Service Bus: just insert your connection string and… voilá! You’re ready to go!

    ServiceBusExplorer project on Windows

    With this tool, you can see the status of all the queues, as well as send, read, and delete messages.

    If you want to save a connection, you have to open that tool as Administrator, otherwise, you won’t have enough rights to save it.

    How to send and receive messages with .NET 5

    To test it, we’re gonna create a simple project that manages pizza orders.
    A .NET 5 API application receives a list of pizzas to be ordered, then it creates a new message for every pizza received and sends them into the PizzaOrders queue.

    With another application, we’re gonna receive the order of every single pizza by reading it from the same queue.

    For both applications, you’ll need to install the Azure.Messaging.ServiceBus NuGet package.

    How to send messages on Azure Service Bus

    The API application that receives pizza orders from the clients is very simple: just a controller with a single action.

    [ApiController]
    [Route("[controller]")]
    public class PizzaOrderController : ControllerBase
    {
        private string ConnectionString = ""; //hidden
    
        private string QueueName = "PizzaOrders";
    
        [HttpPost]
        public async Task<IActionResult> CreateOrder(IEnumerable<PizzaOrder> orders)
        {
            await ProcessOrder(orders);
            return Ok();
        }
    }
    

    Nothing fancy, just receive a list of Pizza Orders objects with this shape:

    public class PizzaOrder
    {
        public string Name { get; set; }
        public string[] Toppings { get; set; }
    }
    

    and process those with a valid quantity.

    As you can imagine, the core of the application is the ProcessOrder method.

    private async Task ProcessOrder(IEnumerable<PizzaOrder> orders)
    {
        await using (ServiceBusClient client = new ServiceBusClient(ConnectionString))
        {
            ServiceBusSender sender = client.CreateSender(QueueName);
    
            foreach (var order in orders)
            {
                string jsonEntity = JsonSerializer.Serialize(order);
                ServiceBusMessage serializedContents = new ServiceBusMessage(jsonEntity);
                await sender.SendMessageAsync(serializedContents);
            }
        }
    }
    

    Let’s break it down.

    We need to create a client to connect to the Service Bus by using the specified Connection string:

    await using (ServiceBusClient client = new ServiceBusClient(ConnectionString))
    {
    }
    

    This client must be disposed after its use.

    Then, we need to create a ServiceBusSender object whose sole role is to send messages to a specific queue:

    ServiceBusSender sender = client.CreateSender(QueueName);
    

    Lastly, for every pizza order, we convert the object into a string and we send it as a message in the queue.

    // Serialize as JSON string
    string jsonEntity = JsonSerializer.Serialize(order);
    
    /// Create Bus Message
    ServiceBusMessage serializedContents = new ServiceBusMessage(jsonEntity);
    
    // Send the message on the Bus
    await sender.SendMessageAsync(serializedContents);
    

    Hey! Never used async, await, and Task? If you want a short (but quite thorough) introduction to asynchronous programming, head to this article!

    And that’s it! Now the message is available on the PizzaOrders queue and can be received by any client subscribed to it.

    Pizza Order message as shown on ServiceBusExplorer

    Here I serialized the PizzaOrder into a JSON string. This is not mandatory: you can send messages in whichever format you want: JSON, XML, plain text, BinaryData… It’s up to you!

    Also, you can add lots of properties to each message. To read the full list, head to the ServiceBusMessage Class documentation.

    How to receive messages on Azure Service Bus

    Once we have the messages on the Bus, we need to read them.

    To demonstrate how to read messages from a queue using C#, I have created a simple Console App, named PizzaChef. The first thing to do, of course, is to install the Azure.Messaging.ServiceBus NuGet package.

    As usual, we need a ServiceBusClient object to access the resources on Azure Service Bus. Just as we did before, create a new Client in this way:

    ServiceBusClient serviceBusClient = new ServiceBusClient(ConnectionString);
    

    This time, instead of using a ServiceBusSender, we need to create a ServiceBusProcessor object which, of course, will process all the messages coming from the Queue. Since receiving a message on the queue is an asynchronous operation, we need to register an Event Handler both for when we receive the message and when we receive an error:

    ServiceBusProcessor   _ordersProcessor = serviceBusClient.CreateProcessor(QueueName);
    _ordersProcessor.ProcessMessageAsync += PizzaItemMessageHandler;
    _ordersProcessor.ProcessErrorAsync += PizzaItemErrorHandler;
    

    For now, let’s add an empty implementation of both handlers.

    private Task PizzaItemErrorHandler(ProcessErrorEventArgs arg)
    {
    
    }
    
    private async Task PizzaItemMessageHandler(ProcessMessageEventArgs args)
    {
    
    }
    

    Note: in this article I’ll implement only the PizzaItemMessageHandler method. The PizzaItemErrorHandler, however, must be at least declared, even if empty: you will get an exception if you forget about it. Anyways, we’ll implement it in the last article of this series, the one about error handling.

    To read the content received in the PizzaItemMessageHandler method, you must simply access the Message.Body property of the args parameter:

    string body = args.Message.Body.ToString();
    

    And, from here, you can do whatever you want with the body of the message. For instance, deserialize it into an object. Of course, you can reuse the PizzaOrder class we used before, or create a new class with more properties but, still, compatible with the content of the message.

    public class ProcessedPizzaOrder
    {
        public string Name { get; set; }
        public string[] Toppings { get; set; }
    
        public override string ToString()
        {
            if (Toppings?.Any() == true)
                return $"Pizza {Name} with some toppings: {string.Join(',', Toppings)}";
            else
                return $"Pizza {Name} without toppings";
        }
    }
    

    Lastly, we need to mark the message as complete.

    await args.CompleteMessageAsync(args.Message);
    

    Now we can see the full example of the PizzaItemMessageHandler implementation:

    private async Task PizzaItemMessageHandler(ProcessMessageEventArgs args)
    {
        try
        {
            string body = args.Message.Body.ToString();
            Console.WriteLine("Received " + body);
    
            var processedPizza = JsonSerializer.Deserialize<ProcessedPizzaOrder>(body);
    
            Console.WriteLine($"Processing {processedPizza}");
    
            // complete the message. messages is deleted from the queue.
            await args.CompleteMessageAsync(args.Message);
        }
        catch (System.Exception ex)
        {
            // handle exception
        }
    }
    

    Does it work? NO.

    We forgot to start processing the incoming messages. It’s simple: in the Main method, right after the declaration of the ServiceBusProcessor object, we need to call StartProcessingAsync to start processing and, similarly, StartProcessingAsync to end the processing.

    Here’s the full example of the Main method: pay attention to the calls to Start and Stop processing.

    private static async Task Main(string[] args)
    {
        ServiceBusProcessor _ordersProcessor = null;
        try
        {
            ServiceBusClient serviceBusClient = new ServiceBusClient(ConnectionString);
    
            _ordersProcessor = serviceBusClient.CreateProcessor(QueueName);
            _ordersProcessor.ProcessMessageAsync += PizzaItemMessageHandler;
            _ordersProcessor.ProcessErrorAsync += PizzaItemErrorHandler;
            await _ordersProcessor.StartProcessingAsync();
    
            Console.WriteLine("Waiting for pizza orders");
            Console.ReadKey();
        }
        catch (Exception)
        {
            throw;
        }
        finally
        {
            if (_ordersProcessor != null)
                await _ordersProcessor.StopProcessingAsync();
        }
    }
    

    While the call to StartProcessingAsync is mandatory (otherwise, how would you receive messages?), the call to StopProcessingAsync, in a console application, can be skipped, since we are destroying the application. At least, I think so. I still haven’t found anything that says whether to call or skip it. If you know anything, please contact me on Twitter or, even better, here in the comments section – so that we can let the conversation going.

    Wrapping up

    This is part of what I’ve learned from my first approach with Azure Service Bus, and the use of Queues in microservice architectures.

    Is there anything else I should say? Have you ever used queues in your applications? As usual, feel free to drop a comment in the section below, or to contact me on Twitter.

    In the next article, we’re gonna explore another topic about Azure Service Bus, called… Topic! We will learn how to use them and what is the difference between a Queue and a Topic.

    But, for now, happy coding!



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  • Handling Azure Service Bus errors with .NET | Code4IT


    Senders and Receivers handle errors on Azure Service Bus differently. We’ll see how to catch them, what they mean and how to fix them. We’ll also introduce Dead Letters.

    Table of Contents

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    So, you know that storage, networking, and domain management have a cost .

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    Davide

    In this article, we are gonna see which kind of errors you may get on Azure Service Bus and how to fix them. We will look at simpler errors, the ones you get if configurations on your code are wrong, or you’ve not declared the modules properly; then we will have a quick look at Dead Letters and what they represent.

    This is the last part of the series about Azure Service Bus. In the previous parts, we’ve seen

    1. Introduction to Azure Service Bus
    2. Queues vs Topics
    3. Error handling

    For this article, we’re going to introduce some errors in the code we used in the previous examples.

    Just to recap the context, our system receives orders for some pizzas via HTTP APIs, processes them by putting some messages on a Topic on Azure Service Bus. Then, a different application that is listening for notifications on the Topic, reads the message and performs some dummy operations.

    Common exceptions with .NET SDK

    To introduce the exceptions, we’d better keep at hand the code we used in the previous examples.

    Let’s recall that a connection string has a form like this:

    string ConnectionString = "Endpoint=sb://<myHost>.servicebus.windows.net/;SharedAccessKeyName=<myPolicy>;SharedAccessKey=<myKey>=";
    

    To send a message in the Queue, remember that we have 3 main steps:

    1. create a new ServiceBusClient instance using the connection string
    2. create a new ServiceBusSender specifying the name of the queue or topic (in our case, the Topic)
    3. send the message by calling the SendMessageAsync method
    await using (ServiceBusClient client = new ServiceBusClient(ConnectionString))
    {
        ServiceBusSender sender = client.CreateSender(TopicName);
    
        foreach (var order in validOrders)
        {
    
            /// Create Bus Message
            ServiceBusMessage serializedContents = CreateServiceBusMessage(order);
    
            // Send the message on the Bus
            await sender.SendMessageAsync(serializedContents);
        }
    }
    

    To receive messages from a Topic, we need the following steps:

    1. create a new ServiceBusClient instance as we did before
    2. create a new ServiceBusProcessor instance by specifying the name of the Topic and of the Subscription
    3. define a handler for incoming messages
    4. define a handler for error handling
    ServiceBusClient serviceBusClient = new ServiceBusClient(ConnectionString);
    ServiceBusProcessor _ordersProcessor = serviceBusClient.CreateProcessor(TopicName, SubscriptionName);
    _ordersProcessor.ProcessMessageAsync += PizzaInvoiceMessageHandler;
    _ordersProcessor.ProcessErrorAsync += PizzaItemErrorHandler;
    await _ordersProcessor.StartProcessingAsync();
    

    Of course, I recommend reading the previous articles to get a full understanding of the examples.

    Now it’s time to introduce some errors and see what happens.

    No such host is known

    When the connection string is invalid because the host name is wrong, you get an Azure.Messaging.ServiceBus.ServiceBusException exception with this message: No such host is known. ErrorCode: HostNotFound.

    What is the host? It’s the first part of the connection string. For example, in a connection string like

    Endpoint=sb://myHost.servicebus.windows.net/;SharedAccessKeyName=myPolicy;SharedAccessKey=myKey
    

    the host is myHost.servicebus.net.

    So we can easily understand why this error happens: that host name does not exist (or, more probably, there’s a typo).

    A curious fact about this exception: it is thrown later than I expected. I was expecting it to be thrown when initializing the ServiceBusClient instance, but it is actually thrown only when a message is being sent using SendMessageAsync.

    Code is executed correctly even though the host name is wrong

    You can perform all the operations you want without receiving any error until you really access the resources on the Bus.

    Put token failed: The messaging entity X could not be found

    Another message you may receive is Put token failed. status-code: 404, status-description: The messaging entity ‘X’ could not be found.

    The reason is pretty straightforward: the resource you are trying to use does not exist: by resource I mean Queue, Topic, and Subscription.

    Again, that exception is thrown only when interacting directly with Azure Service Bus.

    Put token failed: the token has an invalid signature

    If the connection string is not valid because of invalid SharedAccessKeyName or SharedAccessKey, you will get an exception of type System.UnauthorizedAccessException with the following message: Put token failed. status-code: 401, status-description: InvalidSignature: The token has an invalid signature.

    The best way to fix it is to head to the Azure portal and copy again the credentials, as I explained in the introductory article.

    Cannot begin processing without ProcessErrorAsync handler set.

    Let’s recall a statement from my first article about Azure Service Bus:

    The PizzaItemErrorHandler, however, must be at least declared, even if empty: you will get an exception if you forget about it.

    That’s odd, but that’s true: you have to define handlers both for manage success and failure.

    If you don’t, and you only declare the ProcessMessageAsync handler, like in this example:

    ServiceBusClient serviceBusClient = new ServiceBusClient(ConnectionString);
    ServiceBusProcessor _ordersProcessor = serviceBusClient.CreateProcessor(TopicName, SubscriptionName);
    _ordersProcessor.ProcessMessageAsync += PizzaInvoiceMessageHandler;
    //_ordersProcessor.ProcessErrorAsync += PizzaItemErrorHandler;
    await _ordersProcessor.StartProcessingAsync();
    

    you will get an exception with the message: Cannot begin processing without ProcessErrorAsync handler set.

    An exception is thrown when the ProcessErrorAsync handler is not defined

    So, the simplest way to solve this error is… to create the handler for ProcessErrorAsync, even empty. But why do we need it, then?

    Why do we need the ProcessErrorAsync handler?

    As I said, yes, you could declare that handler and leave it empty. But if it exists, there must be a reason, right?

    The handler has this signature:

    private Task PizzaItemErrorHandler(ProcessErrorEventArgs arg)
    

    and acts as a catch block for the receivers: all the errors we’ve thrown in the first part of the article can be handled here. Of course, we are not directly receiving an instance of Exception, but we can access it by navigating the arg object.

    As an example, let’s update again the host part of the connection string. When running the application, we can see that the error is caught in the PizzaItemErrorHandler method, and the arg argument contains many fields that we can use to handle the error. One of them is Exception, which wraps the Exception types we’ve already seen.

    Error handling on ProcessErrorAsync

    This means that in this method you have to define your error handling, add logs, and whatever may help your application managing errors.

    The same handler can be used to manage errors that occur while performing operations on a message: if an exception is thrown when processing an incoming message, you have two choices: handle it in the ProcessMessageAsync handler, in a try-catch block, or leave the error handling on the ProcessErrorAsync handler.

    ProcessErrorEventArgs details

    In the above picture, I’ve simulated an error while processing an incoming message by throwing a new DivideByZeroException. As a result, the PizzaItemErrorHandler method is called, and the arg argument contains info about the thrown exception.

    I personally prefer separating the two error handling situations: in the ProcessMessageAsync method I handle errors that occur in the business logic, when operating on an already received message; in the ProcessErrorAsync method I handle error coming from the infrastructure, like errors in the connection string, invalid credentials and so on.

    Dead Letters: when messages become stale

    When talking about queues, you’ll often come across the term dead letter. What does it mean?

    Dead letters are unprocessed messages: messages die when a message cannot be processed for a certain period of time. You can ignore that message because it has become obsolete or, anyway, it cannot be processed – maybe because it is malformed.

    Messages like these are moved to a specific queue called Dead Letter Queue (DLQ): messages are moved here to avoid making the normal queue full of messages that will never be processed.

    You can see which messages are present in the DLQ to try to understand the reason they failed and put them again into the main queue.

    Dead Letter Queue on ServiceBusExplorer

    in the above picture, you can see how the DLQ can be navigated using Service Bus Explorer: you can see all the messages in the DLQ, update them (not only the content, but even the associated metadata), and put them again into the main Queue to be processed.

    Wrapping up

    In this article, we’ve seen some of the errors you can meet when working with Azure Service Bus and .NET.

    We’ve seen the most common Exceptions, how to manage them both on the Sender and the Receiver side: on the Receiver you must handle them in the ProcessErrorAsync handler.

    Finally, we’ve seen what is a Dead Letter, and how you can recover messages moved to the DLQ.

    This is the last part of this series about Azure Service Bus and .NET: there’s a lot more to talk about, like dive deeper into DLQ and understanding Retry Patterns.

    For more info, you can read this article about retry mechanisms on the .NET SDK available on Microsoft Docs, and have a look at this article by Felipe Polo Ruiz.

    Happy coding! 🐧



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  • Using WSL and Let’s Encrypt to create Azure App Service SSL Wildcard Certificates

    Using WSL and Let’s Encrypt to create Azure App Service SSL Wildcard Certificates



    There are many let’s encrypt automatic tools for azure but I also wanted to see if I could use certbot in wsl to generate a wildcard certificate for the azure Friday website and then upload the resulting certificates to azure app service.

    Azure app service ultimately needs a specific format called dot PFX that includes the full certificate path and all intermediates.

    Per the docs, App Service private certificates must meet the following requirements:

    • Exported as a password-protected PFX file, encrypted using triple DES.
    • Contains private key at least 2048 bits long
    • Contains all intermediate certificates and the root certificate in the certificate chain.

    If you have a PFX that doesn’t meet all these requirements you can have Windows reencrypt the file.

    I use WSL and certbot to create the cert, then I import/export in Windows and upload the resulting PFX.

    Within WSL, install certbot:

    sudo apt update
    sudo apt install python3 python3-venv libaugeas0
    sudo python3 -m venv /opt/certbot/
    sudo /opt/certbot/bin/pip install --upgrade pip
    sudo /opt/certbot/bin/pip install certbot

    Then I generate the cert. You’ll get a nice text UI from certbot and update your DNS as a verification challenge. Change this to make sure it’s two lines, and your domains and subdomains are correct and your paths are correct.

    sudo certbot certonly --manual --preferred-challenges=dns --email YOUR@EMAIL.COM   
    --server https://acme-v02.api.letsencrypt.org/directory
    --agree-tos --manual-public-ip-logging-ok -d "azurefriday.com" -d "*.azurefriday.com"
    sudo openssl pkcs12 -export -out AzureFriday2023.pfx
    -inkey /etc/letsencrypt/live/azurefriday.com/privkey.pem
    -in /etc/letsencrypt/live/azurefriday.com/fullchain.pem

    I then copy the resulting file to my desktop (check your desktop path) so it’s now in the Windows world.

    sudo cp AzureFriday2023.pfx /mnt/c/Users/Scott/OneDrive/Desktop
    

    Now from Windows, import the PFX, note the thumbprint and export that cert.

    Import-PfxCertificate -FilePath "AzureFriday2023.pfx" -CertStoreLocation Cert:\LocalMachine\My 
    -Password (ConvertTo-SecureString -String 'PASSWORDHERE' -AsPlainText -Force) -Exportable

    Export-PfxCertificate -Cert Microsoft.PowerShell.Security\Certificate::LocalMachine\My\597THISISTHETHUMBNAILCF1157B8CEBB7CA1
    -FilePath 'AzureFriday2023-fixed.pfx' -Password (ConvertTo-SecureString -String 'PASSWORDHERE' -AsPlainText -Force)

    Then upload the cert to the Certificates section of your App Service, under Bring Your Own Cert.

    Custom Domains in Azure App Service

    Then under Custom Domains, click Update Binding and select the new cert (with the latest expiration date).

    image

    Next step is to make this even more automatic or select a more automated solution but for now, I’ll worry about this in September and it solved my expensive Wildcard Domain issue.




    About Scott

    Scott Hanselman is a former professor, former Chief Architect in finance, now speaker, consultant, father, diabetic, and Microsoft employee. He is a failed stand-up comic, a cornrower, and a book author.

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