CoderLala CRM System

Problem Statement

Businesses needed a robust CRM system to manage customer relationships, track interactions, and process data in real-time with high reliability. The system required seamless integration capabilities, efficient data processing, and the ability to scale with growing business needs.

Solution

Developed a full-stack CRM solution using modern microservices architecture with the following key features:

• Microservices Architecture: Modular design allowing independent scaling and deployment of services
• Message Queuing: RabbitMQ integration for asynchronous processing and reliable message delivery
• Caching Layer: Redis implementation for high-performance data access and session management
• Real-time Processing: Efficient handling of customer data and interactions in real-time
• Containerization: Docker-based deployment ensuring consistency across environments
• Scalable Infrastructure: Designed to handle growing data volumes and user loads

Tech Stack

Role & Contribution

As Full-Stack & DevOps Engineer, I was responsible for:

• Designing and implementing the microservices architecture using Nest.js
• Building the responsive frontend application with Next.js
• Integrating RabbitMQ for asynchronous message processing and task queuing
• Implementing Redis caching strategies for improved performance
• Setting up MongoDB database schemas and optimizing queries
• Containerizing the application stack with Docker
• Configuring CI/CD pipelines and deployment infrastructure
• Implementing monitoring and logging solutions

Outcome & Impact

Delivered a production-ready CRM system with real-time capabilities, improved data processing efficiency, and scalable infrastructure. The system successfully handles customer relationship management, provides reliable message queuing for background tasks, and offers high-performance data access through intelligent caching strategies.