/Inventory-Tracking-System-with-Serverless-Architecture-on-AWS

Inventory Tracking System with Serverless Architecture on AWS

Overview

This repository provides a solution for implementing a serverless architecture on AWS to track inventory levels across stores worldwide. The system allows stores to upload inventory files to an Amazon S3 bucket, triggering a series of serverless processes. The architecture includes Lambda functions, DynamoDB for data storage, Amazon Cognito for authentication, and Amazon SNS for notifications.

Lab Objectives

  1. Upload Inventory File to S3:

    • Upload an inventory file to an Amazon S3 bucket.

  2. Process Inventory File:

    • Trigger a Lambda function to read the uploaded file and insert items into a DynamoDB table.

  3. Dashboard Application:

    • Develop a serverless, web-based dashboard using Amazon Cognito for authentication.
    • Display inventory levels from the DynamoDB table.

  4. Notification System:

    • Implement a Lambda function to receive updates from the DynamoDB table.
    • Send a message to an SNS topic when an inventory item is out of stock.
    • Receive notifications through SMS or email.

Serverless Architecture

Traditionally, applications run on servers, requiring management and provisioning. This solution leverages AWS Lambda, eliminating the need for pre-allocated servers. The code runs on-demand, scaling automatically and incurring costs only when in use.

Lab Steps

Task 1: Creating a Lambda function to load data

  1. Navigate to the Lambda service on the AWS Management Console.
  2. Create a new Lambda function named Load-Inventory using the Python 3.7 runtime.
  3. Configure the function to use an existing role named Lambda-Load-Inventory-Role.
  4. Copy and paste the provided Python code (lambda_function.py) into the code editor.
  5. Deploy the function.

Task 2: Configuring an Amazon S3 event

  1. Navigate to the S3 service on the AWS Management Console.
  2. Create a unique bucket, e.g., inventory-123.
  3. Configure the bucket to trigger the Load-Inventory Lambda function on object creation.

Task 3: Testing the loading process

  1. Download inventory files for testing.
  2. Upload a file to the S3 bucket and verify successful data loading.

Task 4: Configuring notifications

  1. Navigate to the Simple Notification Service (SNS) on the AWS Management Console.
  2. Create a topic named NoStock for inventory alerts.
  3. Subscribe to the topic via email for notifications.

Task 5: Creating a Lambda function to send notifications

  1. Create a new Lambda function named Check-Stock using Python 3.7 runtime.
  2. Configure the function to use an existing role named Lambda-Check-Stock-Role.
  3. Copy and paste the provided Python code (lambda_function.py) into the code editor.
  4. Deploy the function and add a trigger for DynamoDB on the Inventory table.

Task 6: Testing the System

  1. Upload a different inventory file to S3.
  2. Verify the Inventory System Dashboard for updated data.
  3. Receive a notification via SMS or email for any out-of-stock items.

Conclusion

This lab demonstrates the implementation of a serverless architecture on AWS for efficient inventory tracking. The solution is scalable, cost-effective, and provides real-time notifications for inventory management.