How to Execute Multiple Processes in Parallel Using AWS Lambda from a Script

Implementing Parallel Processing

1. Creating a Script to Invoke Lambda Functions

   • First, create a script in your programming language of choice (e.g., Python, Node.js) to invoke Lambda functions.
   • Use the AWS SDK in your script to access Lambda functions.
   • For example, in Python, import the boto3 library and create a Lambda client.

2. Parallel Execution Using Asynchronous Processing

   • Use asynchronous processing to invoke multiple Lambda functions simultaneously.
   • To run Lambda functions in parallel, set the asynchronous invocation in your script (InvocationType='Event').
   • This allows each Lambda function to execute independently in parallel, while the script moves on without waiting for each invocation to complete.

import boto3

lambda_client = boto3.client('lambda')

def invoke_lambda_async(function_name, payload):
    return lambda_client.invoke(
        FunctionName=function_name,
        InvocationType='Event',
        Payload=json.dumps(payload)
    )

# Asynchronously invoking multiple Lambda functions in parallel
responses = [invoke_lambda_async('my_lambda_function', {'key': 'value'}) for _ in range(5)]