Amazon S3 and LAMBDA TRIGGERS | .NET ON AWS | AWS Serverless | Amazon
Amazon Simple Storage Service (S3) is an object storage service that allows you to store any type of data. Any time an object is created or modified in S3 it raises event notifications. In certain scenarios, we can use these notifications to perform additional business logic or application processing.
For example - When a user uploads a profile picture image we can store the file in S3 storage and use event notifications when the file is written to process them as thumbnails and other formats. We can also use event notifications to process large data files uploaded for bulk processing etc.
In this video, let’s learn about Amazon S3 Event Notifications and how we can handle them. We will learn how to set up and trigger a Lambda Function built in .NET any time we receive an S3 event notification. We will learn the different Lambda trigger configurations, what happens on exceptions in processing these notifications, and how to handle them. We will also look at additional integration patterns using Amazon SQS and SNS when handling S3 event notifications.
This video is sponsored by AWS and is part of the .NET on AWS Series.
🔗Getting Started with Amazon S3 - https://www.rahulpnath.com/blog/amazo...
🔗 Udemy Course AWS Lambda - https://bit.ly/aws-lambda-udemy
🔗Source Code - https://rahulpnath.visualstudio.com/D...
Additional Watching
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📹AWS CloudWatch Logs - • Amazon CLOUDWATCH LOGS - Getting Star...
📹AWS Credentials - • AWS CREDENTIALS: How To Manage - Gett...
📹AWS SQS - • AWS SQS (Simple Queue Service) - Gett...
📹AWS SNS - • AWS SNS (Simple Notification Service)...
📹AWS Series - • .NET on AWS
00:00 Introduction
02:52 Create Lambda Function
07:57 Set Up S3 Lambda Trigger
09:42 Lambda IAM Permissions
12:55 Read S3 File Contents
15:26 Filter S3 Notifications
18:37 Avoid Recursion
19:12 Asynchronous Lambda Invocation
19:59 Handling Exceptions
22:07 Exception Retries
23:44 Dead Letter Queue
28:28 SQS Destination
34:23 Conclusion
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#amazon #aws #dotnet #amazons3 #lambda
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