The Challenge
PróximaBolilla sought to build a high-performance simulation platform to analyze historical lottery results, detect probability patterns, and run massive statistical simulations in real-time. The core engineering challenge was managing high computation workloads on the cloud while keeping latency to the front-end low.
Cloud Architecture & Simulation Engine
We designed a modern serverless stack focusing on processing speed, background worker scaling, and real-time visualization.
- Massive Simulations via Python: Built a high-performance statistical simulator using Python. It processes historical datasets, simulates millions of lottery draws, and computes probability metrics.
- High-Availability Cloud Design: Configured Supabase (Postgres + Realtime) as the database and real-time synchronizer. Result sets are streamed to the front-end instantly as they are calculated by background workers.
- Ultra-Fast Front-End: Utilized Astro for static page delivery and minimal client-side JavaScript, ensuring high PageSpeed scores and instantaneous dashboard loading times.
Key Outcomes
- Scalable Computing: Enabled execution of millions of simultaneous simulations without database locks or server exhaustion.
- Real-Time Data Streaming: Patients and users view analytical reports generated in real-time, backed by sub-second latency from calculation to display.