Gopaktor Dating Mobile Application
Gopaktor Dating Mobile Application
Official Website: https://gopaktor.com/#/home
Apple Store https://apps.apple.com/sg/app/paktor-dating-app-chat-meet/id-?mt=1
Google Play Store
https://play.google.com/store/apps/details?id=com.paktor&referrer=utm_source%3Dgopaktor_com%26utm_medium%3Dh
ome_page%26utm_campaign%3Dplaystore_button&pli=1
OVERVIEW
Gopaktor is a high-profile dating mobile application designed to cater to users in the Asian market. As the lead architect
and consultant, I played a pivotal role in shaping its technical direction, ensuring that the platform could handle scalability
challenges, maintain high security standards, and deliver a seamless user experience.
KEY FEATURES
Scalable Microservices Architecture
Modular components that can be individually scaled.
Real-Time Interactions
Supported by WebSocket protocols for instantaneous chat and notifications.
Data Security
Encryption for data both at rest and in transit, along with strong authentication and authorization mechanisms.
Performance Optimization
Efficient indexing, query optimization, and caching strategies.
Scalable Cloud Infrastructure
Seamless integration of UX/UI design within the technological framework.
User-Centric Design
Modular components that can be individually scaled.
Continuous Delivery
CI/CD pipelines for automated testing and fast release cycles.
Quality Assurance
Rigorous QA processes including automated testing and performance benchmarking.
CHALLENGES AND SOLUTIONS
Scalability Concerns
Addressed through a microservices architecture allowing individual scaling based on demand.
High Concurrency
Ensured robust API development with proper documentation and optimization specifically for high traffic scenarios typical
in dating apps.
Real-Time Interaction
Implemented efficient WebSocket protocols for real-time features like chat and notifications.
Data Privacy
Established stringent data protection measures using encryption and robust authentication mechanisms to safeguard
sensitive user information.
Peak Load Management
Leveraged AWS services such as EC2, RDS, S3 with auto-scaling groups and load balancers to manage sudden spikes
in user activity.
TECHNOLOGY STACK
●
●
●
●
●
Frontend: React Native
Backend: REST API, WebSocket, Node.js
Database: MongoDB
Cloud Infrastructure: AWS EC2, RDS, S3
Project Management: Jira
ENGINEERING EXCELLENCE
System Design & Architecture
Developed a microservices architecture providing resilience and scalability.
API Ecosystem
Promoted RESTful practices and ensured well-documented APIs optimized for heavy usage.
Security Measures
Implemented industry-standard encryption and secure access controls.
CI/CD Pipelines
Set up continuous integration and deployment pipelines enhancing development efficiency and release management.
PERFORMANCE OPTIMIZATION
Database Efficiency
Implemented effective indexing, query optimizations, and caching strategies particularly suited to NoSQL databases like
MongoDB.
Cloud Scalability
Leveraged AWS services to create a scalable and resilient infrastructure capable of handling variable user loads.
USER EXPERIENCE
Interactive UI
Collaborated closely with UX/UI designers to ensure technically feasible yet aesthetically pleasing designs.
Responsive Features
Real-time interactions powered by WebSocket protocols contributing to a dynamic user environment.
AGILE METHODOLOGY
Continuous Improvement
Utilized Jira for agile project management, enabling iterative progress and regular feedback cycles.
Rapid Deployment
Integrated CI/CD pipelines to automate testing and streamline releases, promoting an agile approach to application
updates and feature rollouts.