Which solution will meet these requirements in the MOST operationally efficient way?
Create an Amazon EventBridge event bus. Create a new Lambda function that uses the existing DynamoDB stream as an event source. Configure the new Lambda function to post those events to the event bus. Update the original Lambda functions to react to events in the event bus. As other applications need the events, configure the applications to use the event bus as an event source.
Create an Amazon Simple Queue Service (Amazon SOS) queue. Create a new Lambda function that uses the existing DynamoDB stream as an event source. Configure the new Lambda function to post those events to the SOS queue. Update the original Lambda functions to react to entries in the SOS queue. As other applications need the events, configure the applications to use the SOS queue as an event source.
Create an Amazon Kinesis data stream. Create a new Lambda function that uses the existing DynamoDB stream as an event source. Configure the new Lambda function to post those events to the Kinesis data stream. Update the original Lambda functions to subscribe to records in the Kinesis data stream. As other applications need the events, configure the applications to use the Kinesis data stream as an event source.
Configure the DynamoDB table to use on-demand capacity mode. Increase the memory of the Lambda functions. Configure the Lambda functions to use provisioned concurrency.
I have a feeling that the answer is:
Create an Amazon Kinesis data stream. Create a new Lambda function that uses the existing DynamoDB stream as an event source. Configure the new Lambda function to post those events to the Kinesis data stream. Update the original Lambda functions to subscribe to records in the Kinesis data stream. As other applications need the events, configure the applications to use the Kinesis data stream as an event source.