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Serverless Event Registration & Notification System on AWS๐Ÿš€

Serverless Event Registration & Notification System on AWS๐Ÿš€

A serverless event registration system using AWS Lambda, API Gateway, S3, DynamoDB, and SNS to automate registrations, document storage, and email notifications.

๐Ÿš€ 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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๐Ÿ“ What I Built

The application provides a web-based event registration form where participants can submit their information and upload supporting documents.
Landing Page
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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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๐Ÿ› ๏ธ Technology Stack

Plain text
Frontend โ†’ HTML + CSS + JavaScript
API โ†’ Amazon API Gateway
Backend โ†’ AWS Lambda
File Storage โ†’ Amazon S3
Database โ†’ Amazon DynamoDB
Notification โ†’ Amazon SNS
Security โ†’ AWS IAM
Monitoring โ†’ Amazon CloudWatch

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๐Ÿ—๏ธ Architecture

The core request flow is:
Participant โ†’ API Gateway โ†’ Lambda โ†’ S3 + DynamoDB + SNS
Architecture Diagram
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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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๐Ÿ”— How the AWS Services Work Together

Amazon API Gateway

Provides the REST API endpoint:
Plain text
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:
Plain text
{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:
Plain text
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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๐Ÿ“‹ What Happens When a Participant Registers?

Plain text
Participant
โ†“
Registration Form
โ†“
POST /register
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API Gateway
โ†“
Lambda
โ†“
Validate Request
โ†“
Generate Registration ID
โ†“
Upload Document โ†’ S3
โ†“
Save Registration โ†’ DynamoDB
โ†“
Send Notification โ†’ SNS
โ†“
Return Registration ID
The frontend sends registration data as JSON, with the uploaded document encoded as Base64.

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๐Ÿ†” Generating a Registration ID

Lambda generates a unique ID, such as:
Plain text
REG-2026-A1B2C3
This ID is used to track the registration and organise related documents.
Registration completed Page
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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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๐Ÿ“‚ Document Upload to Amazon S3

Lambda decodes the uploaded document and stores it in S3:
Plain text
CSE/
โ””โ”€โ”€ REG-2026-A1B2C3_certificate.pdf
The application also validates the file type and handles the uploaded file name.

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๐Ÿ—„๏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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๐Ÿ“ง Sending Organiser Notifications

After storing the registration, Lambda publishes a message to SNS.
Plain text
New Registration
โ†“
Lambda
โ†“
SNS
โ†“
Email Notification
โ†“
Organiser
This allows organisers to receive updates without checking the database manually.

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๐Ÿ” 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:
Plain text
Browser โ†’ API Gateway โ†’ Lambda โ†’ AWS Services

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๐Ÿ”„ 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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๐Ÿงช Testing

The project includes tests for:
Plain text
Valid Registration
Missing Required Field
Invalid Email
Invalid File Type
CORS Preflight
Expected results include:
Plain text
Valid Registration โ†’ 200
Invalid Requests โ†’ 400
CORS 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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๐Ÿ–ฅ๏ธ Local Development

The frontend uses:
Plain text
HTML
CSS
JavaScript
It can be developed and tested independently before connecting to the deployed AWS backend.

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๐Ÿง  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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๐Ÿ’ก 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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๐Ÿš€ 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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๐ŸŽฏ 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:
Plain text
Participant
โ†“
API Gateway
โ†“
Lambda
โ”Œโ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ†“ โ†“ โ†“
S3 DynamoDB SNS
โ†“
Organiser
Email
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โ†“
CloudWatch
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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๐Ÿ™Œ 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.
Any opinions in this article are those of the individual author and may not reflect the opinions of AWS.
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