Final answer:
Processing records in an Amazon Kinesis stream using AWS Lambda involves creating a Lambda function, configuring a Kinesis trigger, defining the batch size, writing the function's code, and deploying the function. AWS Lambda then automatically polls the stream and invokes the function with the records for processing.
Step-by-step explanation:
Using AWS Lambda with Amazon Kinesis
To use an AWS Lambda function to process records in an Amazon Kinesis stream, follow these steps:
First, create an AWS Lambda function. Ensure the function has the necessary permissions to read from your Amazon Kinesis stream.
In the AWS Lambda console, configure the trigger for your Lambda function. Select Kinesis as the source of the trigger and specify the stream to connect with.
Define the batch size, which determines how many records the Lambda function will process at once. Be mindful that there are limits to the batch size given Lambda's limitations.
Write the code for your Lambda function. The function will receive an event parameter that contains an array of Kinesis records. You'll need to iterate over these records, process them, and perform your intended actions.
After saving and deploying your function, AWS Lambda will automatically poll the Kinesis stream and invoke your function with the received records for processing.
By following these steps, you can efficiently utilize AWS Lambda to process data in a Kinesis stream, acting on real-time streaming data.