Online Movie Ticket Booking System

Project brief.

The Ticket Booking Platform is a Software as a Service (SAAS) solution tailored for theaters across the USA. It offers a centralized system where multiple theaters can manage their seating layouts and show information. Users can easily book tickets for various shows through this platform, which streamlines the ticketing process and enhances convenience for theatergoers and theater management alike.

Budget
$25k - $50k
Duration
12 Months
Deliverables
- Wireframes
- UI/ UX Web
- UI/ UX Mobile
- Web application
- User guide resources (doc and videos)

The technology ecosystem we used in this project.

Design

Sketch

Figma

Illustrator

Project Model

Waterfall

Documentation

Gdocs

Postman

dbdiagram.io

Backend

Node JS

Express

Frontend

Angular 11

Angular Universal

HTML Bootstrap

Cloud services

AWS

EC2

RDS

Cloudfront

Mobile Tech

iOS Native (Swift)

Android Native(Kotlin)

DB

Mysql

MongoDB

CI/CD Pipeline

Github Actions

Project Management

Trello

Slack

Analytics

GTM

3rd Party Integrations

Sendgrid

RTS

AI Service

GPT 3.5 Turbo

Describe overall role of Techuz team in this project?

Challenges & Solutions

Share your project idea with us, and we'll manage the entire development process for you. At Techuz, we simplify the journey from concept to completion. Here’s how it works:

Seating Layouts Challenge:

The central complexity of the system lay in seating layout management. As a SAAS-based booking system, accommodating theaters with varied seating layouts presented a significant challenge. We leveraged an intermediate system known as RTS, a centralized theater system in the USA, which provided seat layouts in specific formats, including spacing, angles, widths, seat types, and other parameters. Based on this raw data, we developed a seat layout simulator to replicate the exact seating arrangements of each theater, ensuring accuracy and consistency across the platform.

Scalability Challenges:

Dealing with surges in ticket bookings during peak periods, like weekends or holidays, poses significant challenges. Downtime due to server overload directly impacts business revenue. To address this, we implemented an auto-scaling process in AWS. Multiple server nodes are linked with load balancers. When traffic surpasses the threshold, auto-scaling triggers the creation of new servers. These servers are then seamlessly integrated into the load balancer rotation, efficiently handling the increased traffic load and ensuring uninterrupted service availability during peak periods.