
Serverless Event Registration & Notification System on AWS๐
A serverless event registration system using AWS Lambda, API Gateway, S3, DynamoDB, and SNS to automate registrations, document storage, and email notifications.
๐ Introduction
I built a Serverless Event Registration System to collect participant information, handle document uploads, store registration data, and notify event organisers.
The project helped me understand how AWS managed services can work together to build a complete serverless application without maintaining traditional backend servers.
The application uses Amazon API Gateway, AWS Lambda, Amazon S3, Amazon DynamoDB, Amazon SNS, AWS IAM, and Amazon CloudWatch.
The complete source code is available on GitHub:
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๐ What I Built
The application provides a web-based event registration form where participants can submit their information and upload supporting documents.

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A participant can:
- Enter registration details
- Upload a supported document
- Submit the registration
- Receive a unique registration ID
The system then:
- Stores the document in Amazon S3
- Stores registration data in DynamoDB
- Sends an email through Amazon SNS
- Records logs in CloudWatch
The entire backend workflow is serverless, with no traditional application or database server to maintain.
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๐ ๏ธ Technology Stack
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Frontend โ HTML + CSS + JavaScriptAPI โ Amazon API GatewayBackend โ AWS LambdaFile Storage โ Amazon S3Database โ Amazon DynamoDBNotification โ Amazon SNSSecurity โ AWS IAMMonitoring โ Amazon CloudWatch
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๐๏ธ Architecture
The core request flow is:
Participant โ API Gateway โ Lambda โ S3 + DynamoDB + SNS

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Lambda validates the request, generates the registration ID, uploads the document, stores the registration data, and sends the notification.
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๐ How the AWS Services Work Together
Amazon API Gateway
Provides the REST API endpoint:
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POST /register
It receives the request from the frontend and invokes Lambda.
AWS Lambda
The ย
EventRegistrationBackendย function, implemented using Python 3.12, contains the backend logic.It validates requests, generates registration IDs, uploads documents, stores data, and publishes notifications.
Amazon S3
Stores uploaded documents using a structure such as:
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{department}/REG-XXXXXX_filename.pdf
Amazon DynamoDB
Stores participant and registration information in the ย
EventRegistrationsย table.The registration ID is used as the partition key.
Amazon SNS
Sends organiser notifications after a successful registration:
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Lambda โ SNS Topic โ Email โ Organiser
IAM and CloudWatch
IAM controls Lambda permissions using the principle of least privilege. CloudWatch stores Lambda logs for troubleshooting and monitoring.
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๐ What Happens When a Participant Registers?
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ParticipantโRegistration FormโPOST /registerโAPI GatewayโLambdaโValidate RequestโGenerate Registration IDโUpload Document โ S3โSave Registration โ DynamoDBโSend Notification โ SNSโReturn Registration ID
The frontend sends registration data as JSON, with the uploaded document encoded as Base64.
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๐ Generating a Registration ID
Lambda generates a unique ID, such as:
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REG-2026-A1B2C3
This ID is used to track the registration and organise related documents.

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The completed registration page displays the generated registration ID and confirms that the submission has been successfully processed.
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๐ Document Upload to Amazon S3
Lambda decodes the uploaded document and stores it in S3:
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CSE/โโโ REG-2026-A1B2C3_certificate.pdf
The application also validates the file type and handles the uploaded file name.
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๐๏ธ Storing Registration Data in DynamoDB
After the document is uploaded, the registration information is stored in the ย
EventRegistrationsย table.The registration ID is used as the partition key, allowing each registration to be stored as an individual item.
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๐ง Sending Organiser Notifications
After storing the registration, Lambda publishes a message to SNS.
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New RegistrationโLambdaโSNSโEmail NotificationโOrganiser
This allows organisers to receive updates without checking the database manually.
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๐ Validation and Security
The application validates:
- Required fields
- Email format
- Phone number
- File type
- File size
Validation is performed on both the frontend and backend.
The browser never receives AWS credentials. Requests follow this flow:
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Browser โ API Gateway โ Lambda โ AWS Services
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๐ Handling Partial Failures
If an S3 upload succeeds but the DynamoDB operation fails, the uploaded object can be removed to prevent orphaned files.
The notification step is handled separately because an email failure should not necessarily invalidate a successful registration.
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๐งช Testing
The project includes tests for:
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Valid RegistrationMissing Required FieldInvalid EmailInvalid File TypeCORS Preflight
Expected results include:
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Valid Registration โ 200Invalid Requests โ 400CORS Preflight โ 200
For successful registrations, I also verify that the document is stored in S3, the registration is saved in DynamoDB, the notification is sent through SNS, and logs are generated in CloudWatch.
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๐ฅ๏ธ Local Development
The frontend uses:
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HTMLCSSJavaScript
It can be developed and tested independently before connecting to the deployed AWS backend.
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๐ง What This Project Taught Me
This project showed me that serverless development is not only about writing a Lambda function. The main challenge is designing how multiple AWS services work together.
I gained experience with:
- REST APIs
- Lambda
- S3
- DynamoDB
- SNS
- IAM
- CloudWatch
- Validation
- Failure handling
- End-to-end testing
The complete request lifecycle is:
Participant โ API โ Compute โ Storage โ Database โ Notification โ Monitoring
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๐ก Key Takeaways
- Serverless services reduce infrastructure management.
- S3 and DynamoDB provide scalable managed storage.
- IAM permissions should follow least privilege.
- Multi-service workflows require failure handling.
- CloudWatch is essential for troubleshooting.
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๐ What's Next?
Future improvements could include:
- Participant authentication
- Organiser dashboard
- Registration search and filtering
- Status tracking
- Confirmation emails
- QR-code verification
- Analytics
- Infrastructure as Code
- Improved API security and rate limiting
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๐ฏ Conclusion
The Serverless Event Registration System began as a project to automate a college event workflow. It became a practical way to learn how AWS services can work together in a real-world serverless application.
The final workflow is:
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ParticipantโAPI GatewayโLambdaโโโโโผโโโโโโโโโโโโ โ โS3 DynamoDB SNSโOrganiser๏ปฟโCloudWatch
The project gave me hands-on experience connecting API processing, serverless compute, document storage, database persistence, notifications, security, and monitoring.
The complete source code is available on GitHub:
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๐ Final Thoughts
This project showed me that even a simple registration form can become a useful cloud engineering project when designed around security, validation, failure handling, storage, notifications, and monitoring.
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