Infinite Scaling: Although there is some kind of limit yet AWS claims that it can support any level of messages in the queue.Automatic Scaling: In a case where the volume increases AWS will take care of the scaling and your job will be performed at the same pace.Given below are the advantages mentioned: Visibility timeout can be increased up to 12 hours.If the job is not done then the message will be visible again and some other component can take up the job and the same message would be introduced twice. If processing is done before the timeout expires, the message then will be deleted from the Queue.This is the amount of time the message will be invisible in the SQS after a component has read and performed the job.FIFO has a limited number of transactions per second i.e, 300, unlike standard queues where you can have any number of transactions.It allows grouping multiple ordered messages within a single Queue.FIFO guarantees of ordering, uniqueness of messages (no redundancy).Only one message will be available to consume and it will remain in the queue till it’s consumed by the consumer. There is no problem with the redundancy of a message.The order of the messages is maintained in FIFO i.e, you will receive the message in the same order in which you have sent.The FIFO Queue is like advancement over standard queues. But it’s not guaranteed that it will happen sometimes a message can come out of order. Standard queues provide best-efforts in order that the messages would be in order.The redundant message would be out of the order. It doesn’t guarantee that it will deliver only one instance of a message sometimes more than one copy of a message might get delivered. Messages would be delivered at least once, that’s the sole job of the standard queue and it guarantees that messages would be delivered, but however sometimes we see the redundancy in messages.In the standard queue, we can have an unlimited number of transactions per second.Standard Queues are the default queues offered by SQS.We can see how the queue is playing an integral role in this architecture. If our consumer breaks down still we won’t lose the job as it will be always available in the queue.Here the job seems simple but the producer can push frames at a very high rate but consumers can’t process it at that rate.
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