AWS: Data Processing with Lambda, S3, SNS, and EventBridge | Step-by-Step Tutorial

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Welcome to the in-depth tutorial on automating AWS services using a Lambda function! In this video, i walk you through a comprehensive example of an AWS Lambda app built in Python. This app is designed to run on a CloudWatch schedule, fetching stock data from an S3 bucket daily, processing it, and then sending it to an SNS topic to notify its subscribers via email.

Key Takeaways:

AWS Lambda: Learn how to create and configure a Lambda function in Python.
EventBridge: Understand how to set up a CloudWatch schedule using EventBridge rules.
S3: See how to store and retrieve data from an S3 bucket.
SNS: Discover how to send notifications using Amazon SNS.
CloudWatch: Monitor and troubleshoot your Lambda functions with CloudWatch Logs.

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Thanks for making this tutorial available. It was a good practice for me. One issue that I had was getting ""Sandbox.Timedout" error when reading the stockdata file. I overcame that issue by increasing the timeout parameter in the Lambda function to 7 seconds. It might help some people if you make the code available. I had to type it but typing it all by hand helped me understand what the function was doing and the mistakes I made because of typing the code helped me learn debugging and how the boto3 functions work. Please post more videos about AWS. Thanks!

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