When speaking of integrations with other services and APIs, it is important to give an example of integrating Azure Functions with Azure Service Bus.
Even though Azure Functions scale on demand, they are designed to run and scale asynchronously. While in some cases it makes sense to trigger a function immediately when an event takes place, in others, it is important to introduce middleware that can decouple the creator of the event from its consumer, and allow them to scale at different rates, while ensuring that none of the events are left unprocessed. Azure Service Bus provides a set of message-oriented middleware technologies that can be used for reliable message queuing.
One of the typical scenarios in which we would want to leverage Service Bus Queues is a scenario of temporal decoupling. The sender, or multiple senders, will add new messages to the queue, and the receiver will pick the messages up as soon as it has available compute resources. This...
