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One of the best ways to learn AWS is by doing hands-on projects. By building real-world solutions, you gain practical experience with AWS services and understand how they integrate with each other. Here’s an example scenario that walks through a complete workflow using multiple AWS services:
- Host static website assets in an Amazon Simple Storage Service (Amazon S3) bucket, and use an Amazon CloudFront distribution to serve the website globally with low latency.
- Implement authenticated access to Amazon API Gateway using Amazon Cognito for secure user sign-in and authorization.
- Configure Amazon API Gateway to upload user-submitted items to an S3 bucket. This action then triggers an Amazon EventBridge rule, which starts an AWS Step Functions workflow.
- The Step Functions workflow orchestrates several AWS services—AWS Lambda, Amazon Textract, Amazon Comprehend, Amazon Translate, and Amazon Polly—to process the input, extract information, analyze sentiment, translate text, and generate audio output.
- Store metadata in Amazon DynamoDB, and save audio files back into the same S3 bucket used earlier.
- Finally, Amazon API Gateway retrieves metadata from DynamoDB to present to the user or application.
You can find this solution in the AWS Code Library.
You Should Know:
1. Setting Up S3 and CloudFront
Create an S3 bucket aws s3 mb s3://your-static-website-bucket Enable static website hosting aws s3 website s3://your-static-website-bucket --index-document index.html Create a CloudFront distribution (via AWS Console or CLI) aws cloudfront create-distribution --origin-domain-name your-static-website-bucket.s3.amazonaws.com
2. Configuring Amazon Cognito for Authentication
Create a Cognito User Pool aws cognito-idp create-user-pool --pool-name MyUserPool Add an App Client aws cognito-idp create-user-pool-client --user-pool-id YOUR_POOL_ID --client-name MyAppClient
3. Deploying AWS Lambda with Step Functions
Sample Lambda function (Python) for text extraction
import boto3
def lambda_handler(event, context):
textract = boto3.client('textract')
response = textract.detect_document_text(Document={'S3Object': {'Bucket': event['bucket'], 'Name': event['key']}})
return response
4. Triggering Step Functions via EventBridge
Create an EventBridge rule
aws events put-rule --name "S3UploadTrigger" --event-pattern "{\"source\":[\"aws.s3\"],\"detail-type\":[\"Object Created\"]}"
Link to Step Functions
aws events put-targets --rule S3UploadTrigger --targets "Id"="1","Arn"="arn:aws:states:us-east-1:123456789012:stateMachine:MyStateMachine"
5. Storing Metadata in DynamoDB
Create a DynamoDB table aws dynamodb create-table --table-name FeedbackMetadata --attribute-definitions AttributeName=id,AttributeType=S --key-schema AttributeName=id,KeyType=HASH --billing-mode PAY_PER_REQUEST
6. Retrieving Data via API Gateway
Create a REST API aws apigateway create-rest-api --name "FeedbackAPI" Deploy the API aws apigateway create-deployment --rest-api-id YOUR_API_ID --stage-name prod
What Undercode Say:
This AWS workflow demonstrates the power of serverless architecture in processing and analyzing customer feedback efficiently. By integrating S3, Lambda, Step Functions, and AI services like Comprehend and Polly, businesses can automate sentiment analysis and multilingual audio generation. Key takeaways:
– S3 + CloudFront ensures fast, global content delivery.
– Cognito secures API access.
– Step Functions orchestrates complex workflows.
– DynamoDB provides scalable metadata storage.
For cybersecurity hardening, always:
- Enable S3 bucket encryption (
aws s3api put-bucket-encryption). - Restrict IAM policies to least privilege.
- Monitor API Gateway logs (
aws apigateway get-rest-apis).
Expected Output:
A fully automated AWS pipeline that processes customer feedback, extracts insights, and delivers audio outputs—scalable and secure.
Reference:
AWS Code Library – Customer Feedback Analyzer
References:
Reported By: Scottmacdonald2010 Create – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
