We were losing critical messages in our SQS workflow without realizing it, until we dug into the SQS partial batch failure behavior. It turns out, the default configuration was silently dropping failed messages, causing data loss and inconsistencies. This shocking discovery led us to re-evaluate our entire message processing pipeline. Introduction to SQS Partial Batch Failure SQS provides two types of batch failure handling: all-or-nothing and partial batch failure. The all-or-nothing approach will fail the entire batch if any message fails, whereas the partial batch failure approach will only fail the specific messages that encounter an error. import { SendMessageCommand } from ' @aws-sdk/client-sqs ' ; const sqsClient = new SQSClient ({ region : ' us-east-1 ' }); const params = { MessageBody : ' Hello, world! ' , QueueUrl : ' https://sqs.us-east-1.amazonaws.com/123456789012/my-queue ' , }; const command = new SendMessageCommand ( params ); sqsClient . send ( command ). then ( ( data ) => console .…