Durable queues for large-volume cloud services
- Simple, cost-effective, durable message queueing for large workloads
- Rich client libraries for .NET, Java, Android, C++, Node.js, PHP, Ruby, and Python
- Data accessible via the REST API
Build flexible applications using Queue storage to separate functions for better durability across large workloads. When designing applications for scale, application components are often decoupled, so that they can scale independently. Queue storage delivers asynchronous message queueing for communication between application components, whether they are running in the cloud, on the desktop, on premises or on mobile devices.
Build in resilience
Queue storage helps make your application scalable and less sensitive to individual component failure. If part of your architecture goes down, messages are buffered then naturally picked up by other message processing nodes, maintaining the integrity of your workload.
Scale for bursts
Right size your service deployment using Queue storage. Applications absorb unexpected traffic bursts, preventing servers from being overwhelmed by a sudden flood of requests. And queue length can be monitored to add elasticity to your application, deploying or hibernating additional worker nodes based on customer demand.
"We’re so happy with the interoperability and storage capabilities of Microsoft Azure that, if the need arises to put the entire application in the cloud, we will certainly choose Microsoft Azure based on its scalability and interoperability with PHP and many other open source technologies"
Alexandru Lapusan, CEO & Founding Partner at Zitec