![]() ![]() At the time, messages with lower priorities don’t get throttled and keep being processed by the roles that have humbler spec and instance quantity.īut we need to think about the cost of operation! It makes perfect sense because allocating more CPUs, memory and even VMs to messages with high priority will help increase the number of these messages being processed in a set unit of time. In order to implement prioritizing it is offered to use bigger roles for messages with higher priority. However, whatever the approach you choose a message is expected to be processed by a dedicated worker role. Patterns & Practices team describes this pattern and they offer to either use a separate queue per priority or use a topic and create subscriptions with a filter by priority. Unfortunately, queues offered by Microsoft Azure (the storage queue and the Service Bus queue) lack the ability to specify the priority on the messages posted to them so that these messages appear closer to the head of the queue. In order to implement that you need to have a way to prioritize requests. ![]() It allows them to shift from a regular FIFO pattern to the one that takes a request priority into account and lets the requests with higher priority be processed prior to the requests that may have been scheduled earlier. Priority queues allow publishers influence the sequence in which requests are processed. This greatly improves scalability and responsiveness of your application. Queues allow you to decouple components so that they process data or perform tasks in asynchronous manner. Open menu Close menu Implementing a priority queue on Microsoft Azure 28 July 2014 on Cloud Patterns
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