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In the age of serverless computing, automating tasks is becoming increasingly accessible and powerful. In this tutorial, i will walk you through the process of creating an AWS Lambda function that automatically sorts files uploaded to an S3 bucket by their file types. This can be a valuable addition to your AWS toolkit, simplifying file management and organization.
Section 1: Setting up AWS Resources:
To get started with our serverless file sorting project, we first need to set up the necessary AWS resources. Specifically, we'll require two types of resources:
S3 buckets for storing our files and
IAM role to grant the Lambda function the permissions it needs. since it was a project i gave full administration access to the role , but in reality only s3 permission is enough
Creating S3 Buckets:
To begin, we'll create the following S3 buckets:
Input Bucket: This is where users will upload files, triggering our Lambda function.
Output Buckets: We'll create three output buckets, one for each file type (PDF, TXT, JPEG), to store sorted files.
in this ACL is dasabled
i have given the allow public access . and rest all are default setting
Section 3: Writing the Lambda Function:
Introduce the Lambda function's purpose (sorting files based on their extensions).
Provide a code example (e.g., in Python using Boto3) and explain its key parts.
Mention the different file extensions you're handling (PDF, TXT, JPEG) and how they're categorized.
Explain any error handling or logging implemented in the Lambda function.
The code is also available on my github repo :-
Section 4: Configuring the Lambda Trigger: To make our Lambda function come to life, we need to configure it to trigger automatically when new objects are created in our input S3 bucket.
Monitoring and Debugging: We'll provide guidance on monitoring and debugging Lambda function executions and handling any potential issues.