Azure Service Bus Dead-letter Queues

What is the Azure Service Bus Queue?

Queues are a very common piece of infrastructure. It offers First In, First Out (FIFO) message delivery to one or more competing consumers. As the queue grows the last item added to the queue typically must wait longer to be processed. Just like someone waiting in line to order food, the first one in line gets to order first. Microsoft Azure Service Bus (ASB) is Microsoft’s premier enterprise-level messaging technology that uses this principle of FIFO.

Types of Queues:

  • Primary queue called main queue or active queue.
  • Secondary sub-queue called a _dead-letter queue _(DLQ).

Main Queue

ASB queues always have two parties involved-a producer and a consumer. The producer pushes the messages into the queue, while the consumer periodically polls for messages and consumes them. The main queue holds the messages until it is consumed or moved to the dead-letter queue.

Azure Service Bus Dead-letter Queues

The purpose of the dead-letter queue is to hold messages that cannot be delivered to any receiver, or messages that could not be processed.

The DLQ is mostly like any other queue, except that messages can only be submitted via the dead-letter operation of the parent entity. In addition, time-to-live is not observed, and you can’t dead-letter a message from a DLQ. The dead-letter queue fully supports peek-lock delivery and transactional operations. There is no automatic clean-up of the DLQ. Messages remain in the DLQ until you explicitly retrieve them from the DLQ.

Dead-letter queues are the safest bet when we are using Azure Service Bus. If for whatever reason message could not be processed by a receiver, we could move such a message to a dead letter queue.

Dead-letter Queue Reasons

Queued messages can fail delivery. These failed messages are recorded in a dead-letter queue. The failed delivery can be caused by reasons such as network failures, a deleted queue, a full queue, authentication failure, or a failure to deliver on time.

As the messages are moved from the active queue to the dead-letter, two properties DeadLetterReason and DeadLetterErrorDescription are added to the message.

#tutorial #azure #azure service bus #serveless

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Azure Service Bus Dead-letter Queues

Azure Service Bus Dead-letter Queues

What is the Azure Service Bus Queue?

Queues are a very common piece of infrastructure. It offers First In, First Out (FIFO) message delivery to one or more competing consumers. As the queue grows the last item added to the queue typically must wait longer to be processed. Just like someone waiting in line to order food, the first one in line gets to order first. Microsoft Azure Service Bus (ASB) is Microsoft’s premier enterprise-level messaging technology that uses this principle of FIFO.

Types of Queues:

  • Primary queue called main queue or active queue.
  • Secondary sub-queue called a _dead-letter queue _(DLQ).

Main Queue

ASB queues always have two parties involved-a producer and a consumer. The producer pushes the messages into the queue, while the consumer periodically polls for messages and consumes them. The main queue holds the messages until it is consumed or moved to the dead-letter queue.

Azure Service Bus Dead-letter Queues

The purpose of the dead-letter queue is to hold messages that cannot be delivered to any receiver, or messages that could not be processed.

The DLQ is mostly like any other queue, except that messages can only be submitted via the dead-letter operation of the parent entity. In addition, time-to-live is not observed, and you can’t dead-letter a message from a DLQ. The dead-letter queue fully supports peek-lock delivery and transactional operations. There is no automatic clean-up of the DLQ. Messages remain in the DLQ until you explicitly retrieve them from the DLQ.

Dead-letter queues are the safest bet when we are using Azure Service Bus. If for whatever reason message could not be processed by a receiver, we could move such a message to a dead letter queue.

Dead-letter Queue Reasons

Queued messages can fail delivery. These failed messages are recorded in a dead-letter queue. The failed delivery can be caused by reasons such as network failures, a deleted queue, a full queue, authentication failure, or a failure to deliver on time.

As the messages are moved from the active queue to the dead-letter, two properties DeadLetterReason and DeadLetterErrorDescription are added to the message.

#tutorial #azure #azure service bus #serveless

Azure Series #2: Single Server Deployment (Input)

In the previous article, we discussed the Gateway to your single server deployment (example: webserver). In this section, we shall continue with Input and Core Infrastructure.

Input for single-server deployment

When you talk about Data for your organization, it covers all three things, “People, Process, and Technology”. More details for the “Streaming and Sourcing Layer” can be found in a separate section (will update the link soon).

**_People: The Who. _**Producers and Consumers of data.

**_Process: The How. _**How the data is curated and put to use.

**_Technology: The What: _**What technologies are used to fetch, process, pass on and store.

Data: While People, Process and Technology is the golden triangle, if you think about it, the very reason the entire state-of-the-art ecosystem exists is merely to get the raw data to a usable form.

1. Data catalog

Any great state-of-art ecosystem is a waste if the data in need for consumers cannot be discovered and from the Producers side, if data cannot be documented/tagged properly that makes it useable for the consumers or end-users. Azure Data Catalog helps to bridge this gap of making the data correctly discoverable by fixing the traditional problems for both consumers and producers and also helps organizations to get the best value out of their existing information assets.

2. Streaming

While we will discuss more as part of the sourcing section, we shall cover the basics of streaming.

1/ Queue Storage

2/ Service Bus

3/ Event Hubs

4/ Event Grid

#azure-interview #azure-event-grid #azure-event-hub #azure #azure-service-bus

Marc  Schroeder

Marc Schroeder

1593326760

Integrating Raygun with Azure Service Bus Queues

Azure Service Bus offers a reliable and scalable message bus and by leveraging the queues provided with this service you can easily build integrations between your systems and/or third party systems and services. We have a large number of Raygun customers running on Azure so we’re pleased to announce support for Crash Reporting notifications to be raised to a Service Bus queue. This allows you to perform subsequent processing to integrate these notifications with your existing systems or processes, or to allow you to develop a custom notification integration with Raygun similar to our existing Webhook integration.

#integrating #raygun #azure #service #queues

Ron  Cartwright

Ron Cartwright

1600624800

Getting Started With Azure Event Grid Viewer

In the last article, we had a look at how to start with Azure DevOps: Getting Started With Audit Streaming With Event Grid

In the article, we will go to the next step to create a subscription and use webhook event handlers to view those logs in our Azure web application.

#cloud #tutorial #azure #event driven architecture #realtime #signalr #webhook #azure web services #azure event grid #azure #azure event grid #serverless architecture #application integration

How To Develop, Build, Deploy Application using .NET 5, CI/CD, Azure App Service, Azure...

Develop, Build, Deploy applications using .NET 5, CI/CD, Azure App Service, Azure SQL Database, Azure Storage Account.

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