2023 / Product


Boosting Performance with Django and PostgreSQL

  • Services:
  • Backend Development
  • Design and User Experience


Luppa, an HR tool created to help companies track and analyze employee satisfaction and engagement, needed to improve its capacity to handle massive data throughput and live data visualization, specifically for backend processes. Originally built with PHP and MySQL, we aimed to transition the backend to Django and PostgreSQL (AWS Aurora).

The Challenge

The main challenge was the system’s inability to efficiently manage thousands of requests per second and handle large datasets for real-time analytics. Our goal was to create a more robust, faster, and scalable solution that could support dynamic graph generation and live data tracking.


The Solution

We enhanced real-time data visualization to support live graph generation, displaying employee engagement metrics in real-time. We then re-engineered high-concurrency handling to efficiently pick up thousands of requests simultaneously without slowing down. And to support more accurate and comprehensive analytics, we worked on upgrading data processing capabilities. 

  • Migration to Django and PostgreSQL: The transition to Django allowed for a more structured, scalable framework, while PostgreSQL (Aurora AWS) helped enhance database performance and reliability.
  • Performance Optimization: We paid extra attention to optimizing query performance and data handling to support high-frequency data transactions and real-time graph updates.
  • Scalability and Speed: By leveraging Django’s efficient processing capabilities and PostgreSQL’s advanced data management features, the system was redesigned to handle increased loads and complex data operations seamlessly.

Aurora provides 5X the throughput of standard MySQL or 2X the throughput of standard PostgreSQL running on the same hardware.

Faster Insights into Employee Engagement Trends

After implementation, the system showed a significant boost in processing speed, effectively managing extensive data interactions. This resulted in faster insights into employee engagement trends and an enhanced user experience. The project highlighted the capabilities of Django and PostgreSQL in handling high-load, data-intensive applications, showcasing the potential of modern web frameworks and databases to greatly enhance the performance and scalability of legacy systems.