Application URL: 202-Project-Load-Balancer-923992007.us-east-2.elb.amazonaws.com:3000
The MovieBook Application allows the end-user to View Movies at Locations, Book their tickets, and Pay for their tickets. The System has a built in Accounts to keep track of their Rewards Points, Watch History...and so on. Employees have functionalities to change theater components like shows and its details.
- Christopher Vi: Full-Stack Developer, Database Administrator, Cloud Architect & Administrator
- Mohana Moganti: Full-Stack Developer
- Harshil Patel: Full-Stack Developer
Team Collaboration Framework: Agile Scrum, 2 Weeks Sprint, Sprint Planning, Sprint Retrospective XP Core Values
The Technology Stack implemented for the MovieBook Application is as follows:
Front-End: ReactJs
Back-End: ExpressJs
Cloud: Amazon Web Services (AWS)
MOHANA Developed robust backend services using Node.js and Express, enhancing application functionality and optimizing data processing efficiency. Successfully deployed the application on AWS EC2, ensuring scalable and reliable hosting with optimized resource utilization. Implemented and configured AWS Auto Scaling and Elastic Load Balancing, achieving seamless load management and high availability during varying traffic conditions.
HARSHIL Led the design and development of the entire front-end using React, creating a responsive and intuitive user interface that enhances user experience and engagement. Integrated state-of-the-art front-end technologies and frameworks, ensuring a modern, efficient, and scalable application interface. Collaborated closely with backend developers to implement seamless API integrations, ensuring smooth data flow and functionality across the application.
CHRISTOPHER Expertly managed and coordinated project sprints, overseeing task creation and distribution, ensuring timely completion and adherence to agile methodologies. Facilitated effective team collaboration and communication, leading to improved productivity and streamlined development processes. Maintained comprehensive project documentation, ensuring all team members had access to up-to-date information and guidelines, thus enhancing overall project clarity and organization.
GitHub Link [https://github.com/gopinathsjsu/team-project-alphaq]
Sprint Link [https://docs.google.com/spreadsheets/d/1Ou5nr0qhjXJf1ZBdfvXOFh1wPpQr0Ojk/edit#gid=373217732]
Feature Set: UI is accessed by Members, Non-Members, and Theater employees (who are admins)
Home Page
-Login Component
-Create Account
-Membership Plans
-Movie Schedules
Book Tickets and Payment
-Select Movie Showtime
-Book & Pay for Tickets
Member Page
-View Member Status
-View Rewards Points
-View Watch History
Theater Employee Page
-Change Theater Components (Seats, Movies...etc)
-View Analytics
For our project, we opted for the MERN stack (MongoDB, Express.js, React, Node.js) due to its cohesive full-stack JavaScript environment, which offers a seamless integration and a streamlined development process. This choice aligns with our objective to create a scalable and contemporary web application.
We embraced a Microservices Architecture for its benefits in decoupling, easier maintenance, and enhanced resilience. This architectural style allows different components of our application, such as the user interface and API, to function independently. Thus, if one service experiences issues, it doesn't impact the others, enhancing the system's overall reliability. Additionally, our focus on resilience ensures quick recovery from any downtime.
In our MERN stack:
- MongoDB is our database choice, providing a flexible, schema-less structure, ideal for our microservices approach.
- Express.js, operating on Node.js, forms the core of our backend, offering a robust framework for building efficient and scalable APIs.
- React is employed for the front end, favored for its component-based architecture, which allows for reusable UI components and a streamlined user experience.
- Node.js underlies our server-side operations, chosen for its non-blocking I/O and event-driven nature, suitable for distributed systems.
For deployment, we utilize AWS (Amazon Web Services) to access a broad range of reliable cloud services. Key AWS services we employ include:
- Elastic Compute Cloud (EC2), providing flexible and scalable computing capacity.
- Amazon RDS for MongoDB or Amazon DocumentDB, offering managed database services compatible with MongoDB.
By leveraging AWS, we can easily scale our computing and database resources, ensuring minimal impact on the overall application. AWS's robust cloud infrastructure further supports our microservices architecture by offering high availability and fault tolerance. This deployment strategy enables us to maintain a resilient and efficient web application.