To ensure secure access to the Library Management System, user authentication was implemented using Amazon Cognito. This involved setting up secure registration and login functionality, allowing users to create accounts and access the LMS based on their roles. The configuration included options for secure password management and role-based access control.
Steps:
- Launch AWS Console and navigate to Amazon Cognito.
- Create a new user pool for the library management application and configure necessary authentication settings.
- Define roles and permissions for different types of users (e.g., library admin, regular user).
- Set up a custom domain for the authentication UI, if needed, to provide a seamless login experience.
- Integrate Cognito into the application by installing and configuring AWS Amplify or SDK for seamless authentication flow in the LMS.
Serverless workflows were implemented using AWS Lambda to automate key library operations, such as handling book acquisitions and sending overdue notifications. This minimized manual intervention and increased operational efficiency.
Steps:
- Create Lambda functions to handle specific tasks like processing new book additions and notifying users of overdue items.
- Use AWS API Gateway to trigger Lambda functions and manage API endpoints.
- Test and deploy each Lambda function to ensure that it performs the required automation without manual intervention.
- Monitor Lambda execution and performance using AWS CloudWatch to optimize and troubleshoot.
To facilitate efficient resource management, a DynamoDB database was set up to store and retrieve information on books, users, and transactions. This NoSQL database ensures fast and reliable access to large data sets.
Steps:
- Navigate to the AWS Console and create a new DynamoDB table with a primary key for unique identification of resources.
- Define necessary attributes, such as book titles, user IDs, and transaction details, to store relevant data.
- Use AWS SDK or Amplify to integrate DynamoDB with the LMS, enabling seamless data access.
- Set up permissions for DynamoDB through IAM to ensure secure access control.
The front-end of the Library Management System was deployed on Amazon S3 as a static website, providing users with a responsive and accessible interface for browsing and managing library resources.
Steps:
- Develop the front-end application using HTML, CSS, JavaScript, and React.
- Configure an Amazon S3 bucket and enable static website hosting.
- Upload front-end files to the S3 bucket and set permissions for public access if required.
- Integrate the S3-hosted front end with the back-end services, allowing users to access the LMS seamlessly.
AWS CloudWatch was used to monitor system performance and ensure efficient operation. Logs and alerts were set up for real-time performance insights and troubleshooting.
Steps:
- Configure AWS CloudWatch to monitor EC2 instances, DynamoDB activity, and Lambda functions.
- Set up custom metrics and alerts to track usage patterns, detect anomalies, and optimize performance.
- Review CloudWatch logs regularly to troubleshoot issues and make necessary adjustments to the system.
- Implement cost-optimization strategies based on usage data to control AWS service expenses.
Resource Requests and Reservations
Teachers were provided with features to request new books.
Steps:
- Configure DynamoDB to store book requests and reservation details.
- Create a Lambda function to process resource requests and notify admins for approval using Amazon SNS.
- Implement a reservation system to allocate resources based on availability and notify teachers via email using Amazon SES.
- Monitor system performance and activity logs using AWS CloudWatch to ensure smooth operation.
