Case Study - Backend Infrastructure Enhancement for a Recommendation Platform in Partnership with Blazity

Our client, a renowned software development company, had already laid the groundwork for an AI recommendation platform using PostgreSQL, Hasura, and NextJS for frontend operations. However, the system was missing crucial functionalities such as user login, registration, profile operations, and interactions with the data. Additionally, the platform's speed when querying data needed a boost.

Solution

Backend Support

folx. undertook the challenge to provide complete backend support. Our primary objectives were:

1. Evaluation of the Existing Data Structure

   : Before introducing any changes, we thoroughly assessed the current data structure. This allowed us to identify inefficiencies and areas of improvement.

2. Optimization for High Volumes

   : Given the nature of AI recommendation platforms, we understood that the system would be dealing with significant amounts of data. We tweaked the data structure to handle high-volume traffic without any hitches.

3. User Operations

   : We integrated the essential user functions like login, registration, profile operations, and facilitated seamless user interactions with the platform's data.

24/7 Reactive Support

Understanding the critical nature of the platform, we provided 24/7 reactive support. This ensured that any potential hiccups could be addressed promptly, ensuring a smooth user experience.

Security & Updates

With vast amounts of user data being processed, security was of paramount importance. We not only addressed and rectified existing security concerns but also ensured the platform's resilience against potential threats. Alongside, we continuously updated and customized the software resources, ensuring the platform was always in its prime.

Results

folx.'s intervention transformed the AI recommendation platform. Our efforts culminated in a system that operates seamlessly and flexibly. Not only were the missing functionalities integrated, but the platform's overall efficiency and speed were also significantly enhanced.

Technologies