Amazon SNS message delivery for FIFO topics - Amazon Simple Notification Service
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Amazon SNS message delivery for FIFO topics

Amazon SNS FIFO (first in, first out) topics support delivery to both Amazon SQS standard and FIFO queues to provide customers with flexibility and control when integrating distributed applications that require data consistency in near real-time.

For workloads that need to preserve strict message ordering or de-duplication, the combination of Amazon SNS FIFO topics with Amazon SQS FIFO queues subscribed as the delivery endpoint provides enhance messaging between applications when the order of operations and events is critical, or where duplicates can’t be tolerated.

For workloads that tolerate best-effort ordering and at-least-once delivery, subscribing Amazon SQS standard queues to Amazon SNS FIFO topics provides the ability to lower costs, in addition to sharing queues across workloads that don't utilize FIFO.

Note

To fan out messages from Amazon SNS FIFO topics to Amazon Lambda functions, extra steps are required. First, subscribe Amazon SQS FIFO or standard queues to the topic. Then configure the queues to trigger the functions. For more information, see the SQS FIFO as an event source post on the Amazon Compute Blog.

SNS FIFO topics can't deliver messages to customer managed endpoints, such as email addresses, mobile apps, phone numbers for text messaging (SMS), or HTTP(S) endpoints. These endpoint types aren't guaranteed to preserve strict message ordering. Attempts to subscribe customer managed endpoints to SNS FIFO topics result in errors.

SNS FIFO topics support the same message filtering capabilities as standard topics. For more information, see Amazon SNS message filtering for FIFO topics and the Simplify Your Pub/Sub Messaging with Amazon SNS Message Filtering post on the Amazon Compute Blog.