3 апр. 2024 г. · So processing each request/SQS message involves running some bash command (we install some external utility & run some processing using that ...

29 янв. 2023 г. · I have a lambda which puts a bunch of messages onto an SQS queue, say in response to an S3 put object request. Another lambda consumes those messages for ...

8 сент. 2023 г. · I have 4 EC2 machines consuming from SQS. They run a docker image which runs a python script using boto3 to read from SQS, 10 messages at a time.

30 авг. 2023 г. · I'm facing a problem with the parallelism of Lambda. The AWS infra takes files that are dropped in an S3 input bucket, processes them with Textract (async) and ...

27 сент. 2024 г. · Create N SQS queues such that the ith queue is a DLQ for (i+1)th queue. Configure the DLQs to move messages after 1 failed processing attempt.

15 апр. 2023 г. · I want my lambda function to execute one lambda function for one SQS message. So , I made some changes in lambda trigger, Now, yesterday I put 22 messages at ...

27 окт. 2024 г. · You can multi-thread access to SQS to handle the deleting more quickly. Each thread can process 10 messages at a time. I've found that you start ...

20 окт. 2021 г. · I have a S3 bucket with 8 million objects. I need to publish all 8 million to a SQS queue where a lambda will process them.

The question I have is around processing all the jobs at once. Right now, I'm have a simple Python script and I make it persist by using a While True loop.

11 окт. 2024 г. · An appropriate AWS architecture to be able to run 1 million tasks. It doesn't need to be fast, just needs to get the job done.