My Contributions

Reservation Management System

• Developed a robust reservation management system that allows users to book various services offered by Bluerock, such as hotel rooms.
• Implemented features for users to search and browse available rooms, select booking dates and times, and confirm reservations through an intuitive and user-friendly interface
• Integrating with external APIs or services, such as Providus bank Payment APIs, to process bookings securely and efficiently while maintaining data consistency and integrity

User Profile

• Developed APIs that allows users to update, delete, and retrieve there data
• Developed the feature for users to edit there location and find all available rooms in there different locations

Frontend Deployment with AWS Amplify

• Utilize AWS Amplify to automate the deployment of the Bluerock frontend application
• Set up continuous deployment pipelines to automatically deploy changes from your Git repository to AWS Amplify
• Leverage Amplify's hosting service to serve the frontend application with global scalability and low latency
• Configure custom domains, SSL certificates, and CDN caching to optimize performance and security.

Backend Continuous Integration with Travis CI

• Integrate Travis CI into the backend development workflow to automate Continuous Integration processes.
• Configure Travis CI to run tests, linters, and other quality checks whenever changes are pushed to the backend repository.
• Utilize Travis CI's build matrix feature to test the application across different environments and configurations.
• Incorporate code coverage analysis tools to ensure sufficient test coverage and quality assurance

Backend Deployment with Docker and EC2

• Containerize the Bluerock backend application using Docker to ensure consistency and portability across different environments.
• Set up a Dockerfile to define the application's dependencies, environment, and runtime configuration.
• Utilize Docker Compose for managing multi-container environments, such as databases or caching layers.
• Deploy the Dockerized backend application to Amazon EC2 instances for scalable and reliable hosting.
• Leverage EC2 Auto Scaling to automatically adjust the number of EC2 instances based on traffic demand, ensuring high availability and cost-effectiveness.