Automate the manual work in Amazon SQS

FullSpec maps how Amazon SQS fits into your day-to-day, finds the repetitive work worth automating, and gives you a clear plan to connect it with the rest of your tools.

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Amazon SQS by the numbers

Insights from real process mapping sessions that involve Amazon SQS.

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Top 5 Amazon SQS friction points when done manually

Manual message polling from Amazon SQS

You have to manually check Amazon SQS queues at regular intervals to see if new messages have arrived instead of having them processed automatically.

78% report this

Dead letter queue triage in Amazon SQS

Failed messages pile up in Amazon SQS dead letter queues and you manually investigate each one to figure out what went wrong and how to fix it.

71% report this

Visibility timeout management across Amazon SQS

You manually track which messages are being processed in Amazon SQS and have to reset visibility timeouts when workers fail or get stuck.

59% report this

Cross-queue message routing in Amazon SQS

You manually move messages between Amazon SQS queues or duplicate them across multiple queues because there is no built-in routing logic.

43% report this

Amazon SQS message retention monitoring

You manually track message age and expiration in Amazon SQS to prevent important messages from being automatically deleted before they are processed.

28% report this

Data points based on anonymized data from FullSpec mapping sessions

What you can automate in Amazon SQS

Browse popular Amazon SQS automations FullSpec can map for you. Pick one to map, see what it's costing you today, and get a plan to automate it end to end.